diff --git a/pools_liquidity_in_gh.ipynb b/pools_liquidity_in_gh.ipynb
index de3537f..3d6c911 100644
--- a/pools_liquidity_in_gh.ipynb
+++ b/pools_liquidity_in_gh.ipynb
@@ -26,8 +26,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:06:22.862743Z",
-     "start_time": "2024-01-07T05:06:21.896893Z"
+     "end_time": "2024-02-10T05:47:51.076519Z",
+     "start_time": "2024-02-10T05:47:50.066302Z"
     }
    }
   },
@@ -50,8 +50,8 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "          network    id type_id  \\\n0         bostrom     1       1   \n1         bostrom     2       1   \n2         bostrom     3       1   \n3         bostrom     4       1   \n4         bostrom     5       1   \n5         bostrom     6       1   \n6         bostrom     7       1   \n7         bostrom     8       1   \n8         bostrom     9       1   \n9         bostrom    10       1   \n10        bostrom    11       1   \n11        bostrom    12       1   \n12        bostrom    13       1   \n13        bostrom    14       1   \n14        bostrom    15       1   \n15        bostrom    16       1   \n16        bostrom    17       1   \n17        bostrom    18       1   \n18        bostrom    19       1   \n19        bostrom    20       1   \n20        bostrom    21       1   \n21        bostrom    22       1   \n22        bostrom    23       1   \n23        bostrom    24       1   \n24        bostrom    25       1   \n25        bostrom    26       1   \n0     space-pussy     1       1   \n1     space-pussy     2       1   \n2     space-pussy     3       1   \n3     space-pussy     4       1   \n4     space-pussy     5       1   \n5     space-pussy     6       1   \n594       osmosis   595       1   \n595       osmosis   596       1   \n596       osmosis   597       1   \n639       osmosis   640       1   \n645       osmosis   646       1   \n744       osmosis   745       1   \n745       osmosis   746       1   \n749       osmosis   750       1   \n910       osmosis   911       1   \n911       osmosis   912       1   \n918       osmosis   919       1   \n990       osmosis   991       1   \n1139      osmosis  1306       1   \n1140      osmosis  1307       1   \n1141      osmosis  1308       1   \n1142      osmosis  1309       1   \n1143      osmosis  1310       1   \n1147      osmosis  1326       1   \n1149      osmosis  1328       1   \n1151      osmosis  1330       1   \n\n                                               balances  \\\n0     [{'denom': 'boot', 'amount': '12554039321722'}...   \n1     [{'denom': 'boot', 'amount': '10176303972'}, {...   \n2     [{'denom': 'boot', 'amount': '22006000630'}, {...   \n3     [{'denom': 'hydrogen', 'amount': '463673196493...   \n4     [{'denom': 'hydrogen', 'amount': '424654740472...   \n5     [{'denom': 'hydrogen', 'amount': '355115296651...   \n6     [{'denom': 'hydrogen', 'amount': '142014679692...   \n7                                                    []   \n8                                                    []   \n9     [{'denom': 'milliampere', 'amount': '688964331...   \n10    [{'denom': 'boot', 'amount': '19341696953'}, {...   \n11    [{'denom': 'hydrogen', 'amount': '241216868661...   \n12    [{'denom': 'boot', 'amount': '13934725108'}, {...   \n13    [{'denom': 'hydrogen', 'amount': '5247012497'}...   \n14    [{'denom': 'hydrogen', 'amount': '366167844638...   \n15    [{'denom': 'hydrogen', 'amount': '3511999668'}...   \n16    [{'denom': 'hydrogen', 'amount': '520283322'},...   \n17    [{'denom': 'uosmo in bostrom', 'amount': '1389...   \n18                                                   []   \n19    [{'denom': 'hydrogen', 'amount': '5249795055'}...   \n20    [{'denom': 'hydrogen', 'amount': '33588293999'...   \n21    [{'denom': 'uatom in bostrom', 'amount': '9954...   \n22                                                   []   \n23    [{'denom': 'boot', 'amount': '185521640774'}, ...   \n24                                                   []   \n25                                                   []   \n0     [{'denom': 'liquidpussy', 'amount': '433859225...   \n1     [{'denom': 'liquidpussy', 'amount': '378756458...   \n2     [{'denom': 'liquidpussy', 'amount': '836160921...   \n3     [{'denom': 'milliampere(pussy)', 'amount': '26...   \n4     [{'denom': 'milliampere(pussy)', 'amount': '38...   \n5     [{'denom': 'millivolt(pussy)', 'amount': '3889...   \n594   [{'denom': 'uatom in osmosis', 'amount': '2661...   \n595   [{'denom': 'uatom in osmosis', 'amount': '2016...   \n596   [{'denom': 'boot in osmosis', 'amount': '24062...   \n639   [{'denom': 'boot in osmosis', 'amount': '68751...   \n645   [{'denom': 'uatom in osmosis', 'amount': '1', ...   \n744   [{'denom': 'aevmos in osmosis', 'amount': '256...   \n745   [{'denom': 'ujuno in osmosis', 'amount': '8223...   \n749   [{'denom': 'ugraviton in osmosis', 'amount': '...   \n910   [{'denom': 'weth.grv in osmosis', 'amount': '1...   \n911   [{'denom': 'weth in osmosis', 'amount': '13023...   \n918   [{'denom': 'dot in osmosis', 'amount': '347182...   \n990   [{'denom': 'hydrogen in osmosis', 'amount': '1...   \n1139  [{'denom': 'btc in osmosis', 'amount': '284219...   \n1140  [{'denom': 'sol in osmosis', 'amount': '346389...   \n1141  [{'denom': 'utia in osmosis', 'amount': '17151...   \n1142  [{'denom': 'reth in osmosis', 'amount': '32499...   \n1143  [{'denom': 'hydrogen in osmosis', 'amount': '8...   \n1147  [{'denom': 'hydrogen in osmosis', 'amount': '7...   \n1149  [{'denom': 'usdt in osmosis', 'amount': '27037...   \n1151  [{'denom': 'hydrogen in osmosis', 'amount': '1...   \n\n                                  reserve_coin_denoms  swap_fee  \n0                                    [boot, hydrogen]    0.0030  \n1                                 [boot, milliampere]    0.0030  \n2                                       [boot, tocyb]    0.0030  \n3                                   [hydrogen, tocyb]    0.0030  \n4                             [hydrogen, milliampere]    0.0030  \n5                               [hydrogen, millivolt]    0.0030  \n6                        [hydrogen, uosmo in bostrom]    0.0030  \n7             [hydrogen, deprecated uatom in bostrom]    0.0030  \n8     [uosmo in bostrom, deprecated uatom in bostrom]    0.0030  \n9                            [milliampere, millivolt]    0.0030  \n10                                  [boot, millivolt]    0.0030  \n11                       [hydrogen, uatom in bostrom]    0.0030  \n12                           [boot, pussy in bostrom]    0.0030  \n13                   [hydrogen, ugraviton in bostrom]    0.0030  \n14                       [hydrogen, pussy in bostrom]    0.0030  \n15                       [hydrogen, ujuno in bostrom]    0.0030  \n16                        [hydrogen, udsm in bostrom]    0.0030  \n17               [uosmo in bostrom, uatom in bostrom]    0.0030  \n18                    [hydrogen, weth.grv in bostrom]    0.0030  \n19                      [hydrogen, aevmos in bostrom]    0.0030  \n20                 [hydrogen, liquidpussy in bostrom]    0.0030  \n21               [uatom in bostrom, pussy in bostrom]    0.0030  \n22            [uatom in bostrom, weth.grv in bostrom]    0.0030  \n23                           [boot, uatom in bostrom]    0.0030  \n24                        [boot, weth.grv in bostrom]    0.0030  \n25                           [boot, uosmo in bostrom]    0.0030  \n0                                [liquidpussy, pussy]    0.0030  \n1                   [liquidpussy, milliampere(pussy)]    0.0030  \n2                     [liquidpussy, millivolt(pussy)]    0.0030  \n3              [milliampere(pussy), millivolt(pussy)]    0.0030  \n4                         [milliampere(pussy), pussy]    0.0030  \n5                           [millivolt(pussy), pussy]    0.0030  \n594               [uatom in osmosis, boot in osmosis]    0.0300  \n595               [uatom in osmosis, boot in osmosis]    0.0030  \n596                          [boot in osmosis, uosmo]    0.0020  \n639                           [boot in osmosis, uion]    0.0010  \n645           [uatom in osmosis, hydrogen in osmosis]    0.0000  \n744              [aevmos in osmosis, boot in osmosis]    0.0005  \n745               [ujuno in osmosis, boot in osmosis]    0.0005  \n749           [ugraviton in osmosis, boot in osmosis]    0.0005  \n910            [weth.grv in osmosis, boot in osmosis]    0.0050  \n911                [weth in osmosis, boot in osmosis]    0.0050  \n918                 [dot in osmosis, boot in osmosis]    0.0050  \n990           [hydrogen in osmosis, uflix in osmosis]    0.0500  \n1139                [btc in osmosis, boot in osmosis]    0.0050  \n1140                [sol in osmosis, boot in osmosis]    0.0050  \n1141               [utia in osmosis, boot in osmosis]    0.0030  \n1142               [reth in osmosis, boot in osmosis]    0.0050  \n1143          [hydrogen in osmosis, tocyb in osmosis]    0.0020  \n1147           [hydrogen in osmosis, boot in osmosis]    0.0030  \n1149               [usdt in osmosis, boot in osmosis]    0.0050  \n1151                     [hydrogen in osmosis, uosmo]    0.0030  ",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>network</th>\n      <th>id</th>\n      <th>type_id</th>\n      <th>balances</th>\n      <th>reserve_coin_denoms</th>\n      <th>swap_fee</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>bostrom</td>\n      <td>1</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '12554039321722'}...</td>\n      <td>[boot, hydrogen]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>bostrom</td>\n      <td>2</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '10176303972'}, {...</td>\n      <td>[boot, milliampere]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>bostrom</td>\n      <td>3</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '22006000630'}, {...</td>\n      <td>[boot, tocyb]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>bostrom</td>\n      <td>4</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '463673196493...</td>\n      <td>[hydrogen, tocyb]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>bostrom</td>\n      <td>5</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '424654740472...</td>\n      <td>[hydrogen, milliampere]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>bostrom</td>\n      <td>6</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '355115296651...</td>\n      <td>[hydrogen, millivolt]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>bostrom</td>\n      <td>7</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '142014679692...</td>\n      <td>[hydrogen, uosmo in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>bostrom</td>\n      <td>8</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[hydrogen, deprecated uatom in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>bostrom</td>\n      <td>9</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[uosmo in bostrom, deprecated uatom in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>bostrom</td>\n      <td>10</td>\n      <td>1</td>\n      <td>[{'denom': 'milliampere', 'amount': '688964331...</td>\n      <td>[milliampere, millivolt]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>bostrom</td>\n      <td>11</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '19341696953'}, {...</td>\n      <td>[boot, millivolt]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>bostrom</td>\n      <td>12</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '241216868661...</td>\n      <td>[hydrogen, uatom in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>bostrom</td>\n      <td>13</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '13934725108'}, {...</td>\n      <td>[boot, pussy in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>bostrom</td>\n      <td>14</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '5247012497'}...</td>\n      <td>[hydrogen, ugraviton in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>bostrom</td>\n      <td>15</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '366167844638...</td>\n      <td>[hydrogen, pussy in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>bostrom</td>\n      <td>16</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '3511999668'}...</td>\n      <td>[hydrogen, ujuno in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>bostrom</td>\n      <td>17</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '520283322'},...</td>\n      <td>[hydrogen, udsm in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>bostrom</td>\n      <td>18</td>\n      <td>1</td>\n      <td>[{'denom': 'uosmo in bostrom', 'amount': '1389...</td>\n      <td>[uosmo in bostrom, uatom in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>bostrom</td>\n      <td>19</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[hydrogen, weth.grv in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>bostrom</td>\n      <td>20</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '5249795055'}...</td>\n      <td>[hydrogen, aevmos in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>bostrom</td>\n      <td>21</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '33588293999'...</td>\n      <td>[hydrogen, liquidpussy in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>bostrom</td>\n      <td>22</td>\n      <td>1</td>\n      <td>[{'denom': 'uatom in bostrom', 'amount': '9954...</td>\n      <td>[uatom in bostrom, pussy in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>bostrom</td>\n      <td>23</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[uatom in bostrom, weth.grv in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>bostrom</td>\n      <td>24</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '185521640774'}, ...</td>\n      <td>[boot, uatom in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>bostrom</td>\n      <td>25</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[boot, weth.grv in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>bostrom</td>\n      <td>26</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[boot, uosmo in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>space-pussy</td>\n      <td>1</td>\n      <td>1</td>\n      <td>[{'denom': 'liquidpussy', 'amount': '433859225...</td>\n      <td>[liquidpussy, pussy]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>space-pussy</td>\n      <td>2</td>\n      <td>1</td>\n      <td>[{'denom': 'liquidpussy', 'amount': '378756458...</td>\n      <td>[liquidpussy, milliampere(pussy)]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>space-pussy</td>\n      <td>3</td>\n      <td>1</td>\n      <td>[{'denom': 'liquidpussy', 'amount': '836160921...</td>\n      <td>[liquidpussy, millivolt(pussy)]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>space-pussy</td>\n      <td>4</td>\n      <td>1</td>\n      <td>[{'denom': 'milliampere(pussy)', 'amount': '26...</td>\n      <td>[milliampere(pussy), millivolt(pussy)]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>space-pussy</td>\n      <td>5</td>\n      <td>1</td>\n      <td>[{'denom': 'milliampere(pussy)', 'amount': '38...</td>\n      <td>[milliampere(pussy), pussy]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>space-pussy</td>\n      <td>6</td>\n      <td>1</td>\n      <td>[{'denom': 'millivolt(pussy)', 'amount': '3889...</td>\n      <td>[millivolt(pussy), pussy]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>594</th>\n      <td>osmosis</td>\n      <td>595</td>\n      <td>1</td>\n      <td>[{'denom': 'uatom in osmosis', 'amount': '2661...</td>\n      <td>[uatom in osmosis, boot in osmosis]</td>\n      <td>0.0300</td>\n    </tr>\n    <tr>\n      <th>595</th>\n      <td>osmosis</td>\n      <td>596</td>\n      <td>1</td>\n      <td>[{'denom': 'uatom in osmosis', 'amount': '2016...</td>\n      <td>[uatom in osmosis, boot in osmosis]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>596</th>\n      <td>osmosis</td>\n      <td>597</td>\n      <td>1</td>\n      <td>[{'denom': 'boot in osmosis', 'amount': '24062...</td>\n      <td>[boot in osmosis, uosmo]</td>\n      <td>0.0020</td>\n    </tr>\n    <tr>\n      <th>639</th>\n      <td>osmosis</td>\n      <td>640</td>\n      <td>1</td>\n      <td>[{'denom': 'boot in osmosis', 'amount': '68751...</td>\n      <td>[boot in osmosis, uion]</td>\n      <td>0.0010</td>\n    </tr>\n    <tr>\n      <th>645</th>\n      <td>osmosis</td>\n      <td>646</td>\n      <td>1</td>\n      <td>[{'denom': 'uatom in osmosis', 'amount': '1', ...</td>\n      <td>[uatom in osmosis, hydrogen in osmosis]</td>\n      <td>0.0000</td>\n    </tr>\n    <tr>\n      <th>744</th>\n      <td>osmosis</td>\n      <td>745</td>\n      <td>1</td>\n      <td>[{'denom': 'aevmos in osmosis', 'amount': '256...</td>\n      <td>[aevmos in osmosis, boot in osmosis]</td>\n      <td>0.0005</td>\n    </tr>\n    <tr>\n      <th>745</th>\n      <td>osmosis</td>\n      <td>746</td>\n      <td>1</td>\n      <td>[{'denom': 'ujuno in osmosis', 'amount': '8223...</td>\n      <td>[ujuno in osmosis, boot in osmosis]</td>\n      <td>0.0005</td>\n    </tr>\n    <tr>\n      <th>749</th>\n      <td>osmosis</td>\n      <td>750</td>\n      <td>1</td>\n      <td>[{'denom': 'ugraviton in osmosis', 'amount': '...</td>\n      <td>[ugraviton in osmosis, boot in osmosis]</td>\n      <td>0.0005</td>\n    </tr>\n    <tr>\n      <th>910</th>\n      <td>osmosis</td>\n      <td>911</td>\n      <td>1</td>\n      <td>[{'denom': 'weth.grv in osmosis', 'amount': '1...</td>\n      <td>[weth.grv in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>911</th>\n      <td>osmosis</td>\n      <td>912</td>\n      <td>1</td>\n      <td>[{'denom': 'weth in osmosis', 'amount': '13023...</td>\n      <td>[weth in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>918</th>\n      <td>osmosis</td>\n      <td>919</td>\n      <td>1</td>\n      <td>[{'denom': 'dot in osmosis', 'amount': '347182...</td>\n      <td>[dot in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>990</th>\n      <td>osmosis</td>\n      <td>991</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen in osmosis', 'amount': '1...</td>\n      <td>[hydrogen in osmosis, uflix in osmosis]</td>\n      <td>0.0500</td>\n    </tr>\n    <tr>\n      <th>1139</th>\n      <td>osmosis</td>\n      <td>1306</td>\n      <td>1</td>\n      <td>[{'denom': 'btc in osmosis', 'amount': '284219...</td>\n      <td>[btc in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>1140</th>\n      <td>osmosis</td>\n      <td>1307</td>\n      <td>1</td>\n      <td>[{'denom': 'sol in osmosis', 'amount': '346389...</td>\n      <td>[sol in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>1141</th>\n      <td>osmosis</td>\n      <td>1308</td>\n      <td>1</td>\n      <td>[{'denom': 'utia in osmosis', 'amount': '17151...</td>\n      <td>[utia in osmosis, boot in osmosis]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>1142</th>\n      <td>osmosis</td>\n      <td>1309</td>\n      <td>1</td>\n      <td>[{'denom': 'reth in osmosis', 'amount': '32499...</td>\n      <td>[reth in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>1143</th>\n      <td>osmosis</td>\n      <td>1310</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen in osmosis', 'amount': '8...</td>\n      <td>[hydrogen in osmosis, tocyb in osmosis]</td>\n      <td>0.0020</td>\n    </tr>\n    <tr>\n      <th>1147</th>\n      <td>osmosis</td>\n      <td>1326</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen in osmosis', 'amount': '7...</td>\n      <td>[hydrogen in osmosis, boot in osmosis]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>1149</th>\n      <td>osmosis</td>\n      <td>1328</td>\n      <td>1</td>\n      <td>[{'denom': 'usdt in osmosis', 'amount': '27037...</td>\n      <td>[usdt in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>1151</th>\n      <td>osmosis</td>\n      <td>1330</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen in osmosis', 'amount': '1...</td>\n      <td>[hydrogen in osmosis, uosmo]</td>\n      <td>0.0030</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "          network    id type_id  \\\n0         bostrom     1       1   \n1         bostrom     2       1   \n2         bostrom     3       1   \n3         bostrom     4       1   \n4         bostrom     5       1   \n5         bostrom     6       1   \n6         bostrom     7       1   \n7         bostrom     8       1   \n8         bostrom     9       1   \n9         bostrom    10       1   \n10        bostrom    11       1   \n11        bostrom    12       1   \n12        bostrom    13       1   \n13        bostrom    14       1   \n14        bostrom    15       1   \n15        bostrom    16       1   \n16        bostrom    17       1   \n17        bostrom    18       1   \n18        bostrom    19       1   \n19        bostrom    20       1   \n20        bostrom    21       1   \n21        bostrom    22       1   \n22        bostrom    23       1   \n23        bostrom    24       1   \n24        bostrom    25       1   \n25        bostrom    26       1   \n26        bostrom    27       1   \n0     space-pussy     1       1   \n1     space-pussy     2       1   \n2     space-pussy     3       1   \n3     space-pussy     4       1   \n4     space-pussy     5       1   \n5     space-pussy     6       1   \n594       osmosis   595       1   \n595       osmosis   596       1   \n596       osmosis   597       1   \n639       osmosis   640       1   \n645       osmosis   646       1   \n744       osmosis   745       1   \n745       osmosis   746       1   \n749       osmosis   750       1   \n910       osmosis   911       1   \n911       osmosis   912       1   \n918       osmosis   919       1   \n990       osmosis   991       1   \n1139      osmosis  1306       1   \n1140      osmosis  1307       1   \n1141      osmosis  1308       1   \n1142      osmosis  1309       1   \n1143      osmosis  1310       1   \n1147      osmosis  1326       1   \n1149      osmosis  1328       1   \n1151      osmosis  1330       1   \n\n                                               balances  \\\n0     [{'denom': 'boot', 'amount': '12146399541121'}...   \n1     [{'denom': 'boot', 'amount': '10987935309'}, {...   \n2     [{'denom': 'boot', 'amount': '32159040620'}, {...   \n3     [{'denom': 'hydrogen', 'amount': '700056758386...   \n4     [{'denom': 'hydrogen', 'amount': '457833670774...   \n5     [{'denom': 'hydrogen', 'amount': '414550255671...   \n6     [{'denom': 'hydrogen', 'amount': '147660118347...   \n7                                                    []   \n8                                                    []   \n9     [{'denom': 'milliampere', 'amount': '730569316...   \n10    [{'denom': 'boot', 'amount': '130647702195'}, ...   \n11    [{'denom': 'hydrogen', 'amount': '256157886778...   \n12    [{'denom': 'boot', 'amount': '42349153021'}, {...   \n13    [{'denom': 'hydrogen', 'amount': '5247012497'}...   \n14    [{'denom': 'hydrogen', 'amount': '273002007200...   \n15    [{'denom': 'hydrogen', 'amount': '3511999668'}...   \n16    [{'denom': 'hydrogen', 'amount': '520283322'},...   \n17    [{'denom': 'uosmo in bostrom', 'amount': '1423...   \n18                                                   []   \n19    [{'denom': 'hydrogen', 'amount': '5249886233'}...   \n20    [{'denom': 'hydrogen', 'amount': '37724814474'...   \n21    [{'denom': 'uatom in bostrom', 'amount': '8138...   \n22                                                   []   \n23    [{'denom': 'boot', 'amount': '188994146736'}, ...   \n24                                                   []   \n25                                                   []   \n26    [{'denom': 'uosmo in bostrom', 'amount': '1049...   \n0     [{'denom': 'liquidpussy', 'amount': '443697907...   \n1     [{'denom': 'liquidpussy', 'amount': '378555567...   \n2     [{'denom': 'liquidpussy', 'amount': '835855102...   \n3     [{'denom': 'milliampere(pussy)', 'amount': '26...   \n4     [{'denom': 'milliampere(pussy)', 'amount': '38...   \n5     [{'denom': 'millivolt(pussy)', 'amount': '3921...   \n594   [{'denom': 'uatom in osmosis', 'amount': '2531...   \n595   [{'denom': 'uatom in osmosis', 'amount': '1788...   \n596   [{'denom': 'boot in osmosis', 'amount': '20867...   \n639   [{'denom': 'boot in osmosis', 'amount': '68751...   \n645   [{'denom': 'uatom in osmosis', 'amount': '1', ...   \n744   [{'denom': 'aevmos in osmosis', 'amount': '338...   \n745   [{'denom': 'ujuno in osmosis', 'amount': '8223...   \n749   [{'denom': 'ugraviton in osmosis', 'amount': '...   \n910   [{'denom': 'weth.grv in osmosis', 'amount': '9...   \n911   [{'denom': 'weth in osmosis', 'amount': '13704...   \n918   [{'denom': 'dot in osmosis', 'amount': '334787...   \n990   [{'denom': 'hydrogen in osmosis', 'amount': '1...   \n1139  [{'denom': 'btc in osmosis', 'amount': '274275...   \n1140  [{'denom': 'sol in osmosis', 'amount': '313031...   \n1141  [{'denom': 'utia in osmosis', 'amount': '14612...   \n1142  [{'denom': 'reth in osmosis', 'amount': '32499...   \n1143  [{'denom': 'hydrogen in osmosis', 'amount': '4...   \n1147  [{'denom': 'hydrogen in osmosis', 'amount': '5...   \n1149  [{'denom': 'usdt in osmosis', 'amount': '26365...   \n1151  [{'denom': 'hydrogen in osmosis', 'amount': '1...   \n\n                                  reserve_coin_denoms  swap_fee  \n0                                    [boot, hydrogen]    0.0030  \n1                                 [boot, milliampere]    0.0030  \n2                                       [boot, tocyb]    0.0030  \n3                                   [hydrogen, tocyb]    0.0030  \n4                             [hydrogen, milliampere]    0.0030  \n5                               [hydrogen, millivolt]    0.0030  \n6                        [hydrogen, uosmo in bostrom]    0.0030  \n7             [hydrogen, deprecated uatom in bostrom]    0.0030  \n8     [uosmo in bostrom, deprecated uatom in bostrom]    0.0030  \n9                            [milliampere, millivolt]    0.0030  \n10                                  [boot, millivolt]    0.0030  \n11                       [hydrogen, uatom in bostrom]    0.0030  \n12                           [boot, pussy in bostrom]    0.0030  \n13                   [hydrogen, ugraviton in bostrom]    0.0030  \n14                       [hydrogen, pussy in bostrom]    0.0030  \n15                       [hydrogen, ujuno in bostrom]    0.0030  \n16                        [hydrogen, udsm in bostrom]    0.0030  \n17               [uosmo in bostrom, uatom in bostrom]    0.0030  \n18                    [hydrogen, weth.grv in bostrom]    0.0030  \n19                      [hydrogen, aevmos in bostrom]    0.0030  \n20                 [hydrogen, liquidpussy in bostrom]    0.0030  \n21               [uatom in bostrom, pussy in bostrom]    0.0030  \n22            [uatom in bostrom, weth.grv in bostrom]    0.0030  \n23                           [boot, uatom in bostrom]    0.0030  \n24                        [boot, weth.grv in bostrom]    0.0030  \n25                           [boot, uosmo in bostrom]    0.0030  \n26               [uosmo in bostrom, pussy in bostrom]    0.0030  \n0                                [liquidpussy, pussy]    0.0030  \n1                   [liquidpussy, milliampere(pussy)]    0.0030  \n2                     [liquidpussy, millivolt(pussy)]    0.0030  \n3              [milliampere(pussy), millivolt(pussy)]    0.0030  \n4                         [milliampere(pussy), pussy]    0.0030  \n5                           [millivolt(pussy), pussy]    0.0030  \n594               [uatom in osmosis, boot in osmosis]    0.0300  \n595               [uatom in osmosis, boot in osmosis]    0.0030  \n596                          [boot in osmosis, uosmo]    0.0020  \n639                           [boot in osmosis, uion]    0.0010  \n645           [uatom in osmosis, hydrogen in osmosis]    0.0000  \n744              [aevmos in osmosis, boot in osmosis]    0.0005  \n745               [ujuno in osmosis, boot in osmosis]    0.0005  \n749           [ugraviton in osmosis, boot in osmosis]    0.0005  \n910            [weth.grv in osmosis, boot in osmosis]    0.0050  \n911                [weth in osmosis, boot in osmosis]    0.0050  \n918                 [dot in osmosis, boot in osmosis]    0.0050  \n990           [hydrogen in osmosis, uflix in osmosis]    0.0500  \n1139                [btc in osmosis, boot in osmosis]    0.0050  \n1140                [sol in osmosis, boot in osmosis]    0.0050  \n1141               [utia in osmosis, boot in osmosis]    0.0030  \n1142               [reth in osmosis, boot in osmosis]    0.0050  \n1143          [hydrogen in osmosis, tocyb in osmosis]    0.0020  \n1147           [hydrogen in osmosis, boot in osmosis]    0.0030  \n1149               [usdt in osmosis, boot in osmosis]    0.0050  \n1151                     [hydrogen in osmosis, uosmo]    0.0030  ",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>network</th>\n      <th>id</th>\n      <th>type_id</th>\n      <th>balances</th>\n      <th>reserve_coin_denoms</th>\n      <th>swap_fee</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>bostrom</td>\n      <td>1</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '12146399541121'}...</td>\n      <td>[boot, hydrogen]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>bostrom</td>\n      <td>2</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '10987935309'}, {...</td>\n      <td>[boot, milliampere]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>bostrom</td>\n      <td>3</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '32159040620'}, {...</td>\n      <td>[boot, tocyb]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>bostrom</td>\n      <td>4</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '700056758386...</td>\n      <td>[hydrogen, tocyb]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>bostrom</td>\n      <td>5</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '457833670774...</td>\n      <td>[hydrogen, milliampere]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>bostrom</td>\n      <td>6</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '414550255671...</td>\n      <td>[hydrogen, millivolt]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>bostrom</td>\n      <td>7</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '147660118347...</td>\n      <td>[hydrogen, uosmo in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>bostrom</td>\n      <td>8</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[hydrogen, deprecated uatom in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>bostrom</td>\n      <td>9</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[uosmo in bostrom, deprecated uatom in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>bostrom</td>\n      <td>10</td>\n      <td>1</td>\n      <td>[{'denom': 'milliampere', 'amount': '730569316...</td>\n      <td>[milliampere, millivolt]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>bostrom</td>\n      <td>11</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '130647702195'}, ...</td>\n      <td>[boot, millivolt]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>bostrom</td>\n      <td>12</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '256157886778...</td>\n      <td>[hydrogen, uatom in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>bostrom</td>\n      <td>13</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '42349153021'}, {...</td>\n      <td>[boot, pussy in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>bostrom</td>\n      <td>14</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '5247012497'}...</td>\n      <td>[hydrogen, ugraviton in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>bostrom</td>\n      <td>15</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '273002007200...</td>\n      <td>[hydrogen, pussy in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>bostrom</td>\n      <td>16</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '3511999668'}...</td>\n      <td>[hydrogen, ujuno in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>bostrom</td>\n      <td>17</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '520283322'},...</td>\n      <td>[hydrogen, udsm in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>bostrom</td>\n      <td>18</td>\n      <td>1</td>\n      <td>[{'denom': 'uosmo in bostrom', 'amount': '1423...</td>\n      <td>[uosmo in bostrom, uatom in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>bostrom</td>\n      <td>19</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[hydrogen, weth.grv in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>bostrom</td>\n      <td>20</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '5249886233'}...</td>\n      <td>[hydrogen, aevmos in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>bostrom</td>\n      <td>21</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen', 'amount': '37724814474'...</td>\n      <td>[hydrogen, liquidpussy in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>bostrom</td>\n      <td>22</td>\n      <td>1</td>\n      <td>[{'denom': 'uatom in bostrom', 'amount': '8138...</td>\n      <td>[uatom in bostrom, pussy in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>bostrom</td>\n      <td>23</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[uatom in bostrom, weth.grv in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>bostrom</td>\n      <td>24</td>\n      <td>1</td>\n      <td>[{'denom': 'boot', 'amount': '188994146736'}, ...</td>\n      <td>[boot, uatom in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>bostrom</td>\n      <td>25</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[boot, weth.grv in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>bostrom</td>\n      <td>26</td>\n      <td>1</td>\n      <td>[]</td>\n      <td>[boot, uosmo in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>bostrom</td>\n      <td>27</td>\n      <td>1</td>\n      <td>[{'denom': 'uosmo in bostrom', 'amount': '1049...</td>\n      <td>[uosmo in bostrom, pussy in bostrom]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>0</th>\n      <td>space-pussy</td>\n      <td>1</td>\n      <td>1</td>\n      <td>[{'denom': 'liquidpussy', 'amount': '443697907...</td>\n      <td>[liquidpussy, pussy]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>space-pussy</td>\n      <td>2</td>\n      <td>1</td>\n      <td>[{'denom': 'liquidpussy', 'amount': '378555567...</td>\n      <td>[liquidpussy, milliampere(pussy)]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>space-pussy</td>\n      <td>3</td>\n      <td>1</td>\n      <td>[{'denom': 'liquidpussy', 'amount': '835855102...</td>\n      <td>[liquidpussy, millivolt(pussy)]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>space-pussy</td>\n      <td>4</td>\n      <td>1</td>\n      <td>[{'denom': 'milliampere(pussy)', 'amount': '26...</td>\n      <td>[milliampere(pussy), millivolt(pussy)]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>space-pussy</td>\n      <td>5</td>\n      <td>1</td>\n      <td>[{'denom': 'milliampere(pussy)', 'amount': '38...</td>\n      <td>[milliampere(pussy), pussy]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>space-pussy</td>\n      <td>6</td>\n      <td>1</td>\n      <td>[{'denom': 'millivolt(pussy)', 'amount': '3921...</td>\n      <td>[millivolt(pussy), pussy]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>594</th>\n      <td>osmosis</td>\n      <td>595</td>\n      <td>1</td>\n      <td>[{'denom': 'uatom in osmosis', 'amount': '2531...</td>\n      <td>[uatom in osmosis, boot in osmosis]</td>\n      <td>0.0300</td>\n    </tr>\n    <tr>\n      <th>595</th>\n      <td>osmosis</td>\n      <td>596</td>\n      <td>1</td>\n      <td>[{'denom': 'uatom in osmosis', 'amount': '1788...</td>\n      <td>[uatom in osmosis, boot in osmosis]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>596</th>\n      <td>osmosis</td>\n      <td>597</td>\n      <td>1</td>\n      <td>[{'denom': 'boot in osmosis', 'amount': '20867...</td>\n      <td>[boot in osmosis, uosmo]</td>\n      <td>0.0020</td>\n    </tr>\n    <tr>\n      <th>639</th>\n      <td>osmosis</td>\n      <td>640</td>\n      <td>1</td>\n      <td>[{'denom': 'boot in osmosis', 'amount': '68751...</td>\n      <td>[boot in osmosis, uion]</td>\n      <td>0.0010</td>\n    </tr>\n    <tr>\n      <th>645</th>\n      <td>osmosis</td>\n      <td>646</td>\n      <td>1</td>\n      <td>[{'denom': 'uatom in osmosis', 'amount': '1', ...</td>\n      <td>[uatom in osmosis, hydrogen in osmosis]</td>\n      <td>0.0000</td>\n    </tr>\n    <tr>\n      <th>744</th>\n      <td>osmosis</td>\n      <td>745</td>\n      <td>1</td>\n      <td>[{'denom': 'aevmos in osmosis', 'amount': '338...</td>\n      <td>[aevmos in osmosis, boot in osmosis]</td>\n      <td>0.0005</td>\n    </tr>\n    <tr>\n      <th>745</th>\n      <td>osmosis</td>\n      <td>746</td>\n      <td>1</td>\n      <td>[{'denom': 'ujuno in osmosis', 'amount': '8223...</td>\n      <td>[ujuno in osmosis, boot in osmosis]</td>\n      <td>0.0005</td>\n    </tr>\n    <tr>\n      <th>749</th>\n      <td>osmosis</td>\n      <td>750</td>\n      <td>1</td>\n      <td>[{'denom': 'ugraviton in osmosis', 'amount': '...</td>\n      <td>[ugraviton in osmosis, boot in osmosis]</td>\n      <td>0.0005</td>\n    </tr>\n    <tr>\n      <th>910</th>\n      <td>osmosis</td>\n      <td>911</td>\n      <td>1</td>\n      <td>[{'denom': 'weth.grv in osmosis', 'amount': '9...</td>\n      <td>[weth.grv in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>911</th>\n      <td>osmosis</td>\n      <td>912</td>\n      <td>1</td>\n      <td>[{'denom': 'weth in osmosis', 'amount': '13704...</td>\n      <td>[weth in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>918</th>\n      <td>osmosis</td>\n      <td>919</td>\n      <td>1</td>\n      <td>[{'denom': 'dot in osmosis', 'amount': '334787...</td>\n      <td>[dot in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>990</th>\n      <td>osmosis</td>\n      <td>991</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen in osmosis', 'amount': '1...</td>\n      <td>[hydrogen in osmosis, uflix in osmosis]</td>\n      <td>0.0500</td>\n    </tr>\n    <tr>\n      <th>1139</th>\n      <td>osmosis</td>\n      <td>1306</td>\n      <td>1</td>\n      <td>[{'denom': 'btc in osmosis', 'amount': '274275...</td>\n      <td>[btc in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>1140</th>\n      <td>osmosis</td>\n      <td>1307</td>\n      <td>1</td>\n      <td>[{'denom': 'sol in osmosis', 'amount': '313031...</td>\n      <td>[sol in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>1141</th>\n      <td>osmosis</td>\n      <td>1308</td>\n      <td>1</td>\n      <td>[{'denom': 'utia in osmosis', 'amount': '14612...</td>\n      <td>[utia in osmosis, boot in osmosis]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>1142</th>\n      <td>osmosis</td>\n      <td>1309</td>\n      <td>1</td>\n      <td>[{'denom': 'reth in osmosis', 'amount': '32499...</td>\n      <td>[reth in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>1143</th>\n      <td>osmosis</td>\n      <td>1310</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen in osmosis', 'amount': '4...</td>\n      <td>[hydrogen in osmosis, tocyb in osmosis]</td>\n      <td>0.0020</td>\n    </tr>\n    <tr>\n      <th>1147</th>\n      <td>osmosis</td>\n      <td>1326</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen in osmosis', 'amount': '5...</td>\n      <td>[hydrogen in osmosis, boot in osmosis]</td>\n      <td>0.0030</td>\n    </tr>\n    <tr>\n      <th>1149</th>\n      <td>osmosis</td>\n      <td>1328</td>\n      <td>1</td>\n      <td>[{'denom': 'usdt in osmosis', 'amount': '26365...</td>\n      <td>[usdt in osmosis, boot in osmosis]</td>\n      <td>0.0050</td>\n    </tr>\n    <tr>\n      <th>1151</th>\n      <td>osmosis</td>\n      <td>1330</td>\n      <td>1</td>\n      <td>[{'denom': 'hydrogen in osmosis', 'amount': '1...</td>\n      <td>[hydrogen in osmosis, uosmo]</td>\n      <td>0.0030</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
      "execution_count": 2,
      "metadata": {},
@@ -69,8 +69,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:06:39.654674Z",
-     "start_time": "2024-01-07T05:06:22.869532Z"
+     "end_time": "2024-02-10T05:47:59.642485Z",
+     "start_time": "2024-02-10T05:47:51.082639Z"
     }
    }
   },
@@ -90,7 +90,7 @@
     {
      "data": {
       "text/plain": "<IPython.core.display.HTML object>",
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osmosis</th>\n      <th>pussy in bostrom</th>\n      <th>ugraviton in bostrom</th>\n      <th>uflix in osmosis</th>\n      <th>reth in osmosis</th>\n      <th>sol in osmosis</th>\n      <th>hydrogen</th>\n      <th>weth.grv in bostrom</th>\n      <th>aevmos in bostrom</th>\n      <th>boot</th>\n      <th>boot in osmosis</th>\n      <th>uatom in bostrom</th>\n      <th>uion</th>\n      <th>udsm in bostrom</th>\n      <th>btc in osmosis</th>\n      <th>usdt in osmosis</th>\n      <th>ujuno in bostrom</th>\n      <th>ugraviton in osmosis</th>\n      <th>uatom</th>\n      <th>ujuno</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>ujuno in osmosis</th>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.12233</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>uatom in osmosis</th>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.333333</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      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<tr>\n      <th>aevmos in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>83795669924.02095</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>tocyb in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.106401</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>deprecated uatom in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>weth.grv in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>6749159.455131</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>dot in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>19.910529</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>utia in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.00097</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>milliampere</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>9.693648</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000177</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000617</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uosmo</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002301</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.007971</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>millivolt</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.10316</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000018</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000063</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>tocyb</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.522402</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.802371</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uosmo in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002294</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5.598876</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>pussy</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1574.787042</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.280445</td>\n      <td>13170.857701</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>liquidpussy in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>12157.711583</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>liquidpussy</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5550.088678</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>3.565762</td>\n      <td>1</td>\n      <td>1</td>\n      <td>46370.288278</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>millivolt(pussy)</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.120067</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000076</td>\n      <td>NaN</td>\n      <td>0.000022</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>hydrogen in osmosis</th>\n      <td>NaN</td>\n      <td>3.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>9.398433</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>434.503976</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>292.277348</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>3.452068</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>pussy in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1203.291694</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>4141.265928</td>\n      <td>NaN</td>\n      <td>2981403.175057</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ugraviton in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.832099</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uflix in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003421</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>reth in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>10833071.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>sol in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.015303</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>hydrogen</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5640.675472</td>\n      <td>NaN</td>\n      <td>54843.237975</td>\n      <td>1.914236</td>\n      <td>435.97492</td>\n      <td>NaN</td>\n      <td>0.000082</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.000831</td>\n      <td>0.545822</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>3.477243</td>\n      <td>NaN</td>\n      <td>2446.550839</td>\n      <td>NaN</td>\n      <td>5.880182</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>84.340786</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>weth.grv in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>aevmos in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>42397380128.421417</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>boot</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1620.469532</td>\n      <td>NaN</td>\n      <td>15849.380956</td>\n      <td>0.554825</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000241</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.287584</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>1</td>\n      <td>710.614096</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>boot in osmosis</th>\n      <td>8.174632</td>\n      <td>688.669829</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.050225</td>\n      <td>1030.855578</td>\n      <td>NaN</td>\n      <td>125.459768</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.289681</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>65.348488</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>27947.731707</td>\n      <td>NaN</td>\n      <td>0.031466</td>\n      <td>69.771502</td>\n      <td>NaN</td>\n      <td>0.031645</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uatom in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.178607</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000409</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.001407</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uion</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000036</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>udsm in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.170063</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>btc in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>31.78069</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>usdt in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.014332</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ujuno in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>ugraviton in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>31.600897</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uatom</th>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ujuno</th>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>aevmos in osmosis</th>\n      <th>weth.grv in osmosis</th>\n      <th>ujuno in osmosis</th>\n      <th>deprecated uatom in bostrom</th>\n      <th>boot in osmosis</th>\n      <th>btc in osmosis</th>\n      <th>dot in osmosis</th>\n      <th>uosmo in bostrom</th>\n      <th>hydrogen in osmosis</th>\n      <th>uflix in osmosis</th>\n      <th>millivolt</th>\n      <th>hydrogen</th>\n      <th>tocyb in osmosis</th>\n      <th>uatom in bostrom</th>\n      <th>tocyb</th>\n      <th>usdt in osmosis</th>\n      <th>milliampere(pussy)</th>\n      <th>ujuno in bostrom</th>\n      <th>pussy in bostrom</th>\n      <th>ugraviton in bostrom</th>\n      <th>pussy</th>\n      <th>utia in osmosis</th>\n      <th>liquidpussy</th>\n      <th>milliampere</th>\n      <th>ugraviton in osmosis</th>\n      <th>udsm in bostrom</th>\n      <th>reth in osmosis</th>\n      <th>uion</th>\n      <th>weth.grv in bostrom</th>\n      <th>weth in osmosis</th>\n      <th>aevmos in bostrom</th>\n      <th>uatom in osmosis</th>\n      <th>boot</th>\n      <th>uosmo</th>\n      <th>liquidpussy in bostrom</th>\n      <th>sol in osmosis</th>\n      <th>millivolt(pussy)</th>\n      <th>uatom</th>\n      <th>ujuno</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>aevmos in osmosis</th>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>146399323516.78183</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>weth.grv in osmosis</th>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5804333.734998</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ujuno in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.12233</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>deprecated uatom in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>boot in osmosis</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>8.174632</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.036882</td>\n      <td>0.054305</td>\n      <td>NaN</td>\n      <td>0.263123</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>74.557675</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1495.436883</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.031645</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>27947.731707</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>745.536477</td>\n      <td>1</td>\n      <td>125.655945</td>\n      <td>NaN</td>\n      <td>80.75718</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>btc in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>27.113166</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>dot in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>18.41456</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uosmo in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002128</td>\n      <td>NaN</td>\n      <td>5.869242</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000003</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>hydrogen in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>3.800506</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>79.167345</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>4.249988</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>3.0</td>\n      <td>NaN</td>\n      <td>473.459216</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uflix in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.012631</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>millivolt</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.000013</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.091931</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000051</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>hydrogen</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>469.934513</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>74245.127956</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>2754.836219</td>\n      <td>4.339732</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>84.340786</td>\n      <td>0.000607</td>\n      <td>0.545822</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>6533.868298</td>\n      <td>NaN</td>\n      <td>5.880182</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>3.724776</td>\n      <td>NaN</td>\n      <td>0.000104</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>tocyb in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.235295</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uatom in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.17038</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000363</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.001379</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>tocyb</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.230429</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.864336</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>usdt in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.013412</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>milliampere(pussy)</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000645</td>\n      <td>NaN</td>\n      <td>0.00018</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>8.328714</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ujuno in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>pussy in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>314148.681303</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1646.564191</td>\n      <td>NaN</td>\n      <td>4522479.959081</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>6181.355639</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ugraviton in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.832099</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>pussy</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1549.226865</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.276782</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>12955.88814</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>utia in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000669</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>liquidpussy</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5544.172976</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>3.612955</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>46336.312986</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>milliampere</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>10.877666</td>\n      <td>0.000153</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.00056</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ugraviton in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>31.600897</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>udsm in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.170063</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>reth in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>10833071.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uion</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000036</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>weth.grv in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>weth in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5346376.015566</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>aevmos in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>42395909683.963303</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uatom in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.001341</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.333333</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>boot</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>19789.87407</td>\n      <td>0.268473</td>\n      <td>NaN</td>\n      <td>725.291333</td>\n      <td>1.156957</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000162</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1784.528062</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uosmo</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.007958</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.002112</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>liquidpussy in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>9658.164113</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>sol in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.012383</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>millivolt(pussy)</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.120067</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000077</td>\n      <td>NaN</td>\n      <td>0.000022</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uatom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ujuno</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -102,8 +102,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:06:39.708952Z",
-     "start_time": "2024-01-07T05:06:39.654319Z"
+     "end_time": "2024-02-10T05:47:59.708485Z",
+     "start_time": "2024-02-10T05:47:59.656951Z"
     }
    }
   },
@@ -123,7 +123,7 @@
     {
      "data": {
       "text/plain": "<IPython.core.display.HTML object>",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>ujuno in osmosis</th>\n      <th>uatom in osmosis</th>\n      <th>weth in osmosis</th>\n      <th>milliampere(pussy)</th>\n      <th>aevmos in osmosis</th>\n      <th>tocyb in osmosis</th>\n      <th>deprecated uatom in bostrom</th>\n      <th>weth.grv in osmosis</th>\n      <th>dot in osmosis</th>\n      <th>utia in osmosis</th>\n      <th>milliampere</th>\n      <th>uosmo</th>\n      <th>millivolt</th>\n      <th>tocyb</th>\n      <th>uosmo in bostrom</th>\n      <th>pussy</th>\n      <th>liquidpussy in bostrom</th>\n      <th>liquidpussy</th>\n      <th>millivolt(pussy)</th>\n      <th>hydrogen in osmosis</th>\n      <th>pussy in bostrom</th>\n      <th>ugraviton in bostrom</th>\n      <th>uflix in osmosis</th>\n      <th>reth in osmosis</th>\n      <th>sol in osmosis</th>\n      <th>hydrogen</th>\n      <th>weth.grv in bostrom</th>\n      <th>aevmos in bostrom</th>\n      <th>boot</th>\n      <th>boot in osmosis</th>\n      <th>uatom in bostrom</th>\n      <th>uion</th>\n      <th>udsm in bostrom</th>\n      <th>btc in osmosis</th>\n      <th>usdt in osmosis</th>\n      <th>ujuno in bostrom</th>\n      <th>ugraviton in osmosis</th>\n      <th>uatom</th>\n      <th>ujuno</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>ujuno in osmosis</th>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.12233</td>\n      <td>0.12233</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>uatom in osmosis</th>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.178607</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.178607</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.333333</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.333333</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.001452</td>\n      <td>0.001452</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>weth in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1832619.503165</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>6372462.463742</td>\n      <td>6372462.463742</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>milliampere(pussy)</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000635</td>\n      <td>0.00018</td>\n      <td>0.00018</td>\n      <td>8.328714</td>\n      <td>NaN</td>\n      <td>0.000635</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>2.190544</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>aevmos in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>24098310481.589405</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>83795669924.02095</td>\n      <td>83795669924.02095</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>tocyb in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.106401</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.106401</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>deprecated uatom in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>weth.grv in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1940951.605101</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>6749159.455131</td>\n      <td>6749159.455131</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>dot in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5.725954</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>19.910529</td>\n      <td>19.910529</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>utia in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000279</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.00097</td>\n      <td>0.00097</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>milliampere</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>9.693648</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000177</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000177</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000617</td>\n      <td>0.000617</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uosmo</th>\n      <td>NaN</td>\n      <td>5.598876</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002301</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002301</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.007971</td>\n      <td>0.007971</td>\n      <td>5.598876</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5.598876</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>millivolt</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.10316</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000018</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000018</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000063</td>\n      <td>0.000063</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>tocyb</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.522402</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.522402</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.802371</td>\n      <td>1.802371</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uosmo in bostrom</th>\n      <td>NaN</td>\n      <td>5.598876</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002294</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002294</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.007971</td>\n      <td>0.007971</td>\n      <td>5.598876</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5.598876</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>pussy</th>\n      <td>NaN</td>\n      <td>2981403.175057</td>\n      <td>NaN</td>\n      <td>1574.787042</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.280445</td>\n      <td>0.280445</td>\n      <td>13170.857701</td>\n      <td>1203.291694</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1203.291694</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>4141.265928</td>\n      <td>4141.265928</td>\n      <td>2981403.175057</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>2981403.175057</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>liquidpussy in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5550.088678</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>3.565762</td>\n      <td>1</td>\n      <td>1</td>\n      <td>46370.288278</td>\n      <td>12157.711583</td>\n      <td>3.565762</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>12157.711583</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>liquidpussy</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5550.088678</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>3.565762</td>\n      <td>1</td>\n      <td>1</td>\n      <td>46370.288278</td>\n      <td>12157.711583</td>\n      <td>3.565762</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>12157.711583</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>millivolt(pussy)</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.120067</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000076</td>\n      <td>0.000022</td>\n      <td>0.000022</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.000076</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.262188</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>hydrogen in osmosis</th>\n      <td>84.340786</td>\n      <td>3.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>9.398433</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5640.675472</td>\n      <td>434.503976</td>\n      <td>54843.237975</td>\n      <td>1.914236</td>\n      <td>435.97492</td>\n      <td>0.000831</td>\n      <td>0.000082</td>\n      <td>0.000082</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.000831</td>\n      <td>0.545822</td>\n      <td>292.277348</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>3.452068</td>\n      <td>3.452068</td>\n      <td>2446.550839</td>\n      <td>NaN</td>\n      <td>5.880182</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>84.340786</td>\n      <td>NaN</td>\n      <td>3.0</td>\n      <td>84.340786</td>\n    </tr>\n    <tr>\n      <th>pussy in bostrom</th>\n      <td>NaN</td>\n      <td>2981403.175057</td>\n      <td>NaN</td>\n      <td>1574.787042</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.280445</td>\n      <td>0.280445</td>\n      <td>13170.857701</td>\n      <td>1203.291694</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1203.291694</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>4141.265928</td>\n      <td>4141.265928</td>\n      <td>2981403.175057</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>2981403.175057</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ugraviton in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.832099</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.832099</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uflix in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003421</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003421</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>reth in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>3115420.029028</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>10833071.0</td>\n      <td>10833071.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>sol in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.004401</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.015303</td>\n      <td>0.015303</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>hydrogen</th>\n      <td>84.340786</td>\n      <td>3.0</td>\n      <td>0.000001</td>\n      <td>0.456508</td>\n      <td>0.0</td>\n      <td>9.398433</td>\n      <td>NaN</td>\n      <td>0.000001</td>\n      <td>0.174643</td>\n      <td>3584.534849</td>\n      <td>5640.675472</td>\n      <td>434.503976</td>\n      <td>54843.237975</td>\n      <td>1.914236</td>\n      <td>435.97492</td>\n      <td>0.000831</td>\n      <td>0.000082</td>\n      <td>0.000082</td>\n      <td>3.814064</td>\n      <td>1</td>\n      <td>0.000831</td>\n      <td>0.545822</td>\n      <td>292.277348</td>\n      <td>0.0</td>\n      <td>227.232541</td>\n      <td>1</td>\n      <td>0.000001</td>\n      <td>0.0</td>\n      <td>3.477243</td>\n      <td>3.477243</td>\n      <td>2446.550839</td>\n      <td>97181.041097</td>\n      <td>5.880182</td>\n      <td>0.109414</td>\n      <td>242.612432</td>\n      <td>84.340786</td>\n      <td>0.110036</td>\n      <td>3.0</td>\n      <td>84.340786</td>\n    </tr>\n    <tr>\n      <th>weth.grv in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1940951.605101</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>6749159.455131</td>\n      <td>6749159.455131</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>aevmos in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>42397380128.421417</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>42397380128.421417</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>boot</th>\n      <td>8.174632</td>\n      <td>688.669829</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.050225</td>\n      <td>1030.855578</td>\n      <td>1620.469532</td>\n      <td>125.459768</td>\n      <td>15849.380956</td>\n      <td>0.554825</td>\n      <td>125.459768</td>\n      <td>0.000241</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.289681</td>\n      <td>0.000241</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>65.348488</td>\n      <td>0.287584</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>1</td>\n      <td>710.614096</td>\n      <td>27947.731707</td>\n      <td>NaN</td>\n      <td>0.031466</td>\n      <td>69.771502</td>\n      <td>8.174632</td>\n      <td>0.031645</td>\n      <td>688.669829</td>\n      <td>8.174632</td>\n    </tr>\n    <tr>\n      <th>boot in osmosis</th>\n      <td>8.174632</td>\n      <td>688.669829</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.050225</td>\n      <td>1030.855578</td>\n      <td>1620.469532</td>\n      <td>125.459768</td>\n      <td>15849.380956</td>\n      <td>0.554825</td>\n      <td>125.459768</td>\n      <td>0.000241</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.289681</td>\n      <td>0.000241</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>65.348488</td>\n      <td>0.287584</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>1</td>\n      <td>710.614096</td>\n      <td>27947.731707</td>\n      <td>NaN</td>\n      <td>0.031466</td>\n      <td>69.771502</td>\n      <td>8.174632</td>\n      <td>0.031645</td>\n      <td>688.669829</td>\n      <td>8.174632</td>\n    </tr>\n    <tr>\n      <th>uatom in bostrom</th>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.178607</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.178607</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000409</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000409</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.001407</td>\n      <td>0.001407</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uion</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.00001</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000036</td>\n      <td>0.000036</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>udsm in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.170063</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.170063</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>btc in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>9.139624</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>31.78069</td>\n      <td>31.78069</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>usdt in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.004122</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.014332</td>\n      <td>0.014332</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ujuno in bostrom</th>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.12233</td>\n      <td>0.12233</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>ugraviton in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>9.087919</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>31.600897</td>\n      <td>31.600897</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uatom</th>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.178607</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.178607</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.333333</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.333333</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.001452</td>\n      <td>0.001452</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ujuno</th>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.12233</td>\n      <td>0.12233</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>aevmos in osmosis</th>\n      <th>weth.grv in osmosis</th>\n      <th>ujuno in osmosis</th>\n      <th>deprecated uatom in bostrom</th>\n      <th>boot in osmosis</th>\n      <th>btc in osmosis</th>\n      <th>dot in osmosis</th>\n      <th>uosmo in bostrom</th>\n      <th>hydrogen in osmosis</th>\n      <th>uflix in osmosis</th>\n      <th>millivolt</th>\n      <th>hydrogen</th>\n      <th>tocyb in osmosis</th>\n      <th>uatom in bostrom</th>\n      <th>tocyb</th>\n      <th>usdt in osmosis</th>\n      <th>milliampere(pussy)</th>\n      <th>ujuno in bostrom</th>\n      <th>pussy in bostrom</th>\n      <th>ugraviton in bostrom</th>\n      <th>pussy</th>\n      <th>utia in osmosis</th>\n      <th>liquidpussy</th>\n      <th>milliampere</th>\n      <th>ugraviton in osmosis</th>\n      <th>udsm in bostrom</th>\n      <th>reth in osmosis</th>\n      <th>uion</th>\n      <th>weth.grv in bostrom</th>\n      <th>weth in osmosis</th>\n      <th>aevmos in bostrom</th>\n      <th>uatom in osmosis</th>\n      <th>boot</th>\n      <th>uosmo</th>\n      <th>liquidpussy in bostrom</th>\n      <th>sol in osmosis</th>\n      <th>millivolt(pussy)</th>\n      <th>uatom</th>\n      <th>ujuno</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>aevmos in osmosis</th>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>146399323516.78183</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>39304199154.637383</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>146399323516.78183</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>weth.grv in osmosis</th>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5804333.734998</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1558304.257152</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5804333.734998</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ujuno in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.12233</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.12233</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>deprecated uatom in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>boot in osmosis</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>8.174632</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.036882</td>\n      <td>0.054305</td>\n      <td>125.655945</td>\n      <td>0.263123</td>\n      <td>NaN</td>\n      <td>19789.87407</td>\n      <td>0.268473</td>\n      <td>1.156957</td>\n      <td>725.291333</td>\n      <td>1.156957</td>\n      <td>74.557675</td>\n      <td>NaN</td>\n      <td>8.174632</td>\n      <td>0.000162</td>\n      <td>NaN</td>\n      <td>0.000162</td>\n      <td>1495.436883</td>\n      <td>NaN</td>\n      <td>1784.528062</td>\n      <td>0.031645</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>27947.731707</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>745.536477</td>\n      <td>1</td>\n      <td>125.655945</td>\n      <td>NaN</td>\n      <td>80.75718</td>\n      <td>NaN</td>\n      <td>745.536477</td>\n      <td>8.174632</td>\n    </tr>\n    <tr>\n      <th>btc in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>27.113166</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>7.279141</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>27.113166</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>dot in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>18.41456</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>4.943804</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>18.41456</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uosmo in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.007958</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.002128</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002128</td>\n      <td>NaN</td>\n      <td>5.869242</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000003</td>\n      <td>NaN</td>\n      <td>0.000003</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5.869242</td>\n      <td>0.007958</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5.869242</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>hydrogen in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>84.340786</td>\n      <td>NaN</td>\n      <td>3.800506</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>469.934513</td>\n      <td>1</td>\n      <td>79.167345</td>\n      <td>74245.127956</td>\n      <td>1</td>\n      <td>4.249988</td>\n      <td>2754.836219</td>\n      <td>4.339732</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>84.340786</td>\n      <td>0.000607</td>\n      <td>0.545822</td>\n      <td>0.000607</td>\n      <td>NaN</td>\n      <td>0.000104</td>\n      <td>6533.868298</td>\n      <td>NaN</td>\n      <td>5.880182</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>3.800506</td>\n      <td>473.459216</td>\n      <td>0.000104</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>3.0</td>\n      <td>84.340786</td>\n    </tr>\n    <tr>\n      <th>uflix in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.012631</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.012631</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>millivolt</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000051</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000013</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.000013</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.091931</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000051</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>hydrogen</th>\n      <td>0.0</td>\n      <td>0.000001</td>\n      <td>84.340786</td>\n      <td>NaN</td>\n      <td>3.724776</td>\n      <td>0.137379</td>\n      <td>0.202273</td>\n      <td>469.934513</td>\n      <td>1</td>\n      <td>79.167345</td>\n      <td>74245.127956</td>\n      <td>1</td>\n      <td>4.249988</td>\n      <td>2754.836219</td>\n      <td>4.339732</td>\n      <td>277.710612</td>\n      <td>0.57404</td>\n      <td>84.340786</td>\n      <td>0.000607</td>\n      <td>0.545822</td>\n      <td>0.000607</td>\n      <td>5570.166872</td>\n      <td>0.000104</td>\n      <td>6533.868298</td>\n      <td>0.117869</td>\n      <td>5.880182</td>\n      <td>0.0</td>\n      <td>104099.030225</td>\n      <td>0.000001</td>\n      <td>0.000001</td>\n      <td>0.0</td>\n      <td>3.0</td>\n      <td>3.724776</td>\n      <td>473.459216</td>\n      <td>0.000104</td>\n      <td>300.802376</td>\n      <td>4.797632</td>\n      <td>3.0</td>\n      <td>84.340786</td>\n    </tr>\n    <tr>\n      <th>tocyb in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.864336</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.235295</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.235295</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.864336</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uatom in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.001379</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.17038</td>\n      <td>0.000363</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000363</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.001379</td>\n      <td>0.17038</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>tocyb</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.864336</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.230429</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.230429</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.864336</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>usdt in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.013412</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003601</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.013412</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>milliampere(pussy)</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.742039</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.000645</td>\n      <td>NaN</td>\n      <td>0.000645</td>\n      <td>NaN</td>\n      <td>0.00018</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.00018</td>\n      <td>NaN</td>\n      <td>8.328714</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ujuno in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.12233</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.12233</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>pussy in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>6181.355639</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>314148.681303</td>\n      <td>1646.564191</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1646.564191</td>\n      <td>NaN</td>\n      <td>4522479.959081</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1549.226865</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.276782</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>4522479.959081</td>\n      <td>6181.355639</td>\n      <td>314148.681303</td>\n      <td>0.276782</td>\n      <td>NaN</td>\n      <td>12955.88814</td>\n      <td>4522479.959081</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ugraviton in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.832099</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1.832099</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>pussy</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>6181.355639</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>314148.681303</td>\n      <td>1646.564191</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1646.564191</td>\n      <td>NaN</td>\n      <td>4522479.959081</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1549.226865</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.276782</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>4522479.959081</td>\n      <td>6181.355639</td>\n      <td>314148.681303</td>\n      <td>0.276782</td>\n      <td>NaN</td>\n      <td>12955.88814</td>\n      <td>4522479.959081</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>utia in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000669</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.00018</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000669</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>liquidpussy</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>9658.164113</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>9658.164113</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5544.172976</td>\n      <td>NaN</td>\n      <td>3.612955</td>\n      <td>NaN</td>\n      <td>3.612955</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>46336.312986</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>milliampere</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.00056</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000153</td>\n      <td>NaN</td>\n      <td>10.877666</td>\n      <td>0.000153</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.00056</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ugraviton in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>31.600897</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>8.483973</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>31.600897</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>udsm in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.170063</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.170063</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>reth in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>10833071.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>2908382.155137</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>10833071.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uion</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000036</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.00001</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000036</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>weth.grv in bostrom</th>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5804333.734998</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1558304.257152</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5804333.734998</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>weth in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5346376.015566</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1435355.182138</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5346376.015566</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>aevmos in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>42395909683.963303</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>42395909683.963303</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uatom in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.001341</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.17038</td>\n      <td>0.333333</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.333333</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.001341</td>\n      <td>0.17038</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>boot</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>8.174632</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.036882</td>\n      <td>0.054305</td>\n      <td>125.655945</td>\n      <td>0.263123</td>\n      <td>NaN</td>\n      <td>19789.87407</td>\n      <td>0.268473</td>\n      <td>1.156957</td>\n      <td>725.291333</td>\n      <td>1.156957</td>\n      <td>74.557675</td>\n      <td>NaN</td>\n      <td>8.174632</td>\n      <td>0.000162</td>\n      <td>NaN</td>\n      <td>0.000162</td>\n      <td>1495.436883</td>\n      <td>NaN</td>\n      <td>1784.528062</td>\n      <td>0.031645</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>27947.731707</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>745.536477</td>\n      <td>1</td>\n      <td>125.655945</td>\n      <td>NaN</td>\n      <td>80.75718</td>\n      <td>NaN</td>\n      <td>745.536477</td>\n      <td>8.174632</td>\n    </tr>\n    <tr>\n      <th>uosmo</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.007958</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.002112</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.002112</td>\n      <td>NaN</td>\n      <td>5.869242</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000003</td>\n      <td>NaN</td>\n      <td>0.000003</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5.869242</td>\n      <td>0.007958</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5.869242</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>liquidpussy in bostrom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>9658.164113</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>9658.164113</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5544.172976</td>\n      <td>NaN</td>\n      <td>3.612955</td>\n      <td>NaN</td>\n      <td>3.612955</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>46336.312986</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>sol in osmosis</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.012383</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.003324</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.012383</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>millivolt(pussy)</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.208436</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.120067</td>\n      <td>NaN</td>\n      <td>0.000077</td>\n      <td>NaN</td>\n      <td>0.000077</td>\n      <td>NaN</td>\n      <td>0.000022</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.000022</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>uatom</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.001341</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.17038</td>\n      <td>0.333333</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.333333</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>0.001341</td>\n      <td>0.17038</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>ujuno</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>0.12233</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.011857</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.12233</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -135,8 +135,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:06:39.772543Z",
-     "start_time": "2024-01-07T05:06:39.739064Z"
+     "end_time": "2024-02-10T05:47:59.776705Z",
+     "start_time": "2024-02-10T05:47:59.709249Z"
     }
    }
   },
@@ -156,7 +156,7 @@
     {
      "data": {
       "text/plain": "<IPython.core.display.HTML object>",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th>network</th>\n      <th>id</th>\n      <th>reserve_coin_denoms</th>\n      <th>liquidity, GH</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>1</td>\n      <td>[liquidpussy, pussy]</td>\n      <td>713.7</td>\n    </tr>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>3</td>\n      <td>[liquidpussy, millivolt(pussy)]</td>\n      <td>137.6</td>\n    </tr>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>2</td>\n      <td>[liquidpussy, milliampere(pussy)]</td>\n      <td>62.3</td>\n    </tr>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>4</td>\n      <td>[milliampere(pussy), millivolt(pussy)]</td>\n      <td>23.8</td>\n    </tr>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>5</td>\n      <td>[milliampere(pussy), pussy]</td>\n      <td>3.5</td>\n    </tr>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>6</td>\n      <td>[millivolt(pussy), pussy]</td>\n      <td>0.3</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>597</td>\n      <td>[boot in osmosis, uosmo]</td>\n      <td>16,734.5</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1326</td>\n      <td>[hydrogen in osmosis, boot in osmosis]</td>\n      <td>15,305.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>912</td>\n      <td>[weth in osmosis, boot in osmosis]</td>\n      <td>14,213.5</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1306</td>\n      <td>[btc in osmosis, boot in osmosis]</td>\n      <td>6,219.5</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1330</td>\n      <td>[hydrogen in osmosis, uosmo]</td>\n      <td>2,469.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1307</td>\n      <td>[sol in osmosis, boot in osmosis]</td>\n      <td>1,574.2</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1328</td>\n      <td>[usdt in osmosis, boot in osmosis]</td>\n      <td>1,311.9</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1308</td>\n      <td>[utia in osmosis, boot in osmosis]</td>\n      <td>1,229.6</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>919</td>\n      <td>[dot in osmosis, boot in osmosis]</td>\n      <td>1,212.7</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1310</td>\n      <td>[hydrogen in osmosis, tocyb in osmosis]</td>\n      <td>17.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>596</td>\n      <td>[uatom in osmosis, boot in osmosis]</td>\n      <td>12.1</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>911</td>\n      <td>[weth.grv in osmosis, boot in osmosis]</td>\n      <td>1.1</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>745</td>\n      <td>[aevmos in osmosis, boot in osmosis]</td>\n      <td>0.2</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>640</td>\n      <td>[boot in osmosis, uion]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>991</td>\n      <td>[hydrogen in osmosis, uflix in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>746</td>\n      <td>[ujuno in osmosis, boot in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>595</td>\n      <td>[uatom in osmosis, boot in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>750</td>\n      <td>[ugraviton in osmosis, boot in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1309</td>\n      <td>[reth in osmosis, boot in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>646</td>\n      <td>[uatom in osmosis, hydrogen in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>1</td>\n      <td>[boot, hydrogen]</td>\n      <td>87,306.9</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>12</td>\n      <td>[hydrogen, uatom in bostrom]</td>\n      <td>48,243.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>7</td>\n      <td>[hydrogen, uosmo in bostrom]</td>\n      <td>28,402.9</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>18</td>\n      <td>[uosmo in bostrom, uatom in bostrom]</td>\n      <td>12,115.9</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>5</td>\n      <td>[hydrogen, milliampere]</td>\n      <td>8,493.1</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>10</td>\n      <td>[milliampere, millivolt]</td>\n      <td>7,772.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>6</td>\n      <td>[hydrogen, millivolt]</td>\n      <td>7,102.3</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>24</td>\n      <td>[boot, uatom in bostrom]</td>\n      <td>1,290.2</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>4</td>\n      <td>[hydrogen, tocyb]</td>\n      <td>927.3</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>15</td>\n      <td>[hydrogen, pussy in bostrom]</td>\n      <td>732.3</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>3</td>\n      <td>[boot, tocyb]</td>\n      <td>153.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>11</td>\n      <td>[boot, millivolt]</td>\n      <td>134.5</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>13</td>\n      <td>[boot, pussy in bostrom]</td>\n      <td>96.9</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>2</td>\n      <td>[boot, milliampere]</td>\n      <td>70.8</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>21</td>\n      <td>[hydrogen, liquidpussy in bostrom]</td>\n      <td>67.2</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>22</td>\n      <td>[uatom in bostrom, pussy in bostrom]</td>\n      <td>48.7</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>20</td>\n      <td>[hydrogen, aevmos in bostrom]</td>\n      <td>10.5</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>14</td>\n      <td>[hydrogen, ugraviton in bostrom]</td>\n      <td>10.5</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>16</td>\n      <td>[hydrogen, ujuno in bostrom]</td>\n      <td>7.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>17</td>\n      <td>[hydrogen, udsm in bostrom]</td>\n      <td>1.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>8</td>\n      <td>[hydrogen, deprecated uatom in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>9</td>\n      <td>[uosmo in bostrom, deprecated uatom in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>19</td>\n      <td>[hydrogen, weth.grv in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>23</td>\n      <td>[uatom in bostrom, weth.grv in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>25</td>\n      <td>[boot, weth.grv in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>26</td>\n      <td>[boot, uosmo in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th>network</th>\n      <th>id</th>\n      <th>reserve_coin_denoms</th>\n      <th>liquidity, GH</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>1</td>\n      <td>[liquidpussy, pussy]</td>\n      <td>918.8</td>\n    </tr>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>3</td>\n      <td>[liquidpussy, millivolt(pussy)]</td>\n      <td>173.1</td>\n    </tr>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>2</td>\n      <td>[liquidpussy, milliampere(pussy)]</td>\n      <td>78.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>4</td>\n      <td>[milliampere(pussy), millivolt(pussy)]</td>\n      <td>29.9</td>\n    </tr>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>5</td>\n      <td>[milliampere(pussy), pussy]</td>\n      <td>4.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>space-pussy</td>\n      <td>6</td>\n      <td>[millivolt(pussy), pussy]</td>\n      <td>0.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>912</td>\n      <td>[weth in osmosis, boot in osmosis]</td>\n      <td>19,096.2</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>597</td>\n      <td>[boot in osmosis, uosmo]</td>\n      <td>15,545.2</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1326</td>\n      <td>[hydrogen in osmosis, boot in osmosis]</td>\n      <td>11,774.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1306</td>\n      <td>[btc in osmosis, boot in osmosis]</td>\n      <td>7,535.9</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1330</td>\n      <td>[hydrogen in osmosis, uosmo]</td>\n      <td>2,923.8</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1307</td>\n      <td>[sol in osmosis, boot in osmosis]</td>\n      <td>1,883.2</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1308</td>\n      <td>[utia in osmosis, boot in osmosis]</td>\n      <td>1,627.9</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1328</td>\n      <td>[usdt in osmosis, boot in osmosis]</td>\n      <td>1,464.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>919</td>\n      <td>[dot in osmosis, boot in osmosis]</td>\n      <td>1,354.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>596</td>\n      <td>[uatom in osmosis, boot in osmosis]</td>\n      <td>10.7</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1310</td>\n      <td>[hydrogen in osmosis, tocyb in osmosis]</td>\n      <td>8.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>911</td>\n      <td>[weth.grv in osmosis, boot in osmosis]</td>\n      <td>1.2</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>745</td>\n      <td>[aevmos in osmosis, boot in osmosis]</td>\n      <td>0.2</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>640</td>\n      <td>[boot in osmosis, uion]</td>\n      <td>0.1</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>991</td>\n      <td>[hydrogen in osmosis, uflix in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>746</td>\n      <td>[ujuno in osmosis, boot in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>595</td>\n      <td>[uatom in osmosis, boot in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>750</td>\n      <td>[ugraviton in osmosis, boot in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>1309</td>\n      <td>[reth in osmosis, boot in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>osmosis</td>\n      <td>646</td>\n      <td>[uatom in osmosis, hydrogen in osmosis]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>1</td>\n      <td>[boot, hydrogen]</td>\n      <td>90,485.2</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>12</td>\n      <td>[hydrogen, uatom in bostrom]</td>\n      <td>51,231.6</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>7</td>\n      <td>[hydrogen, uosmo in bostrom]</td>\n      <td>29,532.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>18</td>\n      <td>[uosmo in bostrom, uatom in bostrom]</td>\n      <td>13,378.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>10</td>\n      <td>[milliampere, millivolt]</td>\n      <td>9,546.9</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>5</td>\n      <td>[hydrogen, milliampere]</td>\n      <td>9,156.7</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>6</td>\n      <td>[hydrogen, millivolt]</td>\n      <td>8,291.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>24</td>\n      <td>[boot, uatom in bostrom]</td>\n      <td>1,407.9</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>4</td>\n      <td>[hydrogen, tocyb]</td>\n      <td>1,400.1</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>11</td>\n      <td>[boot, millivolt]</td>\n      <td>973.3</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>15</td>\n      <td>[hydrogen, pussy in bostrom]</td>\n      <td>546.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>13</td>\n      <td>[boot, pussy in bostrom]</td>\n      <td>315.5</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>3</td>\n      <td>[boot, tocyb]</td>\n      <td>239.6</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>2</td>\n      <td>[boot, milliampere]</td>\n      <td>81.9</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>21</td>\n      <td>[hydrogen, liquidpussy in bostrom]</td>\n      <td>75.4</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>22</td>\n      <td>[uatom in bostrom, pussy in bostrom]</td>\n      <td>44.8</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>20</td>\n      <td>[hydrogen, aevmos in bostrom]</td>\n      <td>10.5</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>14</td>\n      <td>[hydrogen, ugraviton in bostrom]</td>\n      <td>10.5</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>16</td>\n      <td>[hydrogen, ujuno in bostrom]</td>\n      <td>7.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>17</td>\n      <td>[hydrogen, udsm in bostrom]</td>\n      <td>1.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>27</td>\n      <td>[uosmo in bostrom, pussy in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>8</td>\n      <td>[hydrogen, deprecated uatom in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>9</td>\n      <td>[uosmo in bostrom, deprecated uatom in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>19</td>\n      <td>[hydrogen, weth.grv in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>23</td>\n      <td>[uatom in bostrom, weth.grv in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>25</td>\n      <td>[boot, weth.grv in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n    <tr align=\"right\">\n      <td>bostrom</td>\n      <td>26</td>\n      <td>[boot, uosmo in bostrom]</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -165,20 +165,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Total liquidity: 264,229 GH\n"
+      "Total liquidity: 281,166 GH\n"
      ]
     },
     {
      "data": {
       "text/plain": "<Figure size 1000x1000 with 1 Axes>",
-      "image/png": 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\n"
+      "image/png": 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\n"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "def get_pool_liquidity(balances: list, target_denom: str = 'hydrogen', main_liquidity_denom: str = 'hydrogen',\n",
+    "def get_pool_liquidity(balances: list, target_denom: str = 'hydrogen',\n",
     "                       price_enriched_df: pd.DataFrame = price_enriched_df) -> float:\n",
     "    if not balances:\n",
     "        return 0\n",
@@ -186,17 +186,10 @@
     "    balances_dict = {item['denom']: int(item['amount']) for item in balances}\n",
     "    if target_denom in denoms:\n",
     "        return balances_dict[target_denom] * 2\n",
-    "    elif not isnan(price_enriched_df.loc[target_denom, denoms[0]]):\n",
+    "    if not isnan(price_enriched_df.loc[target_denom, denoms[0]]):\n",
     "        return balances_dict[denoms[0]] * price_enriched_df.loc[target_denom, denoms[0]] * 2\n",
-    "    elif not isnan(price_enriched_df.loc[target_denom, denoms[1]]):\n",
+    "    if not isnan(price_enriched_df.loc[target_denom, denoms[1]]):\n",
     "        return balances_dict[denoms[1]] * price_enriched_df.loc[target_denom, denoms[1]] * 2\n",
-    "    elif not isnan(price_enriched_df.loc[target_denom, main_liquidity_denom]) and not isnan(\n",
-    "            price_df.loc[main_liquidity_denom, denoms[0]]):\n",
-    "        return balances_dict[denoms[0]] * price_enriched_df.loc[target_denom, main_liquidity_denom] * \\\n",
-    "               price_enriched_df.loc[main_liquidity_denom, denoms[0]] * 2\n",
-    "    elif not isnan(price_enriched_df.loc[target_denom, main_liquidity_denom]) and not isnan(price_df.loc[main_liquidity_denom, denoms[1]]):\n",
-    "        return balances_dict[denoms[1]] * price_enriched_df.loc[target_denom, main_liquidity_denom] * \\\n",
-    "               price_enriched_df.loc[main_liquidity_denom, denoms[1]] * 2\n",
     "    return 0\n",
     "\n",
     "\n",
@@ -249,8 +242,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:06:40.210506Z",
-     "start_time": "2024-01-07T05:06:39.776298Z"
+     "end_time": "2024-02-10T05:48:00.187473Z",
+     "start_time": "2024-02-10T05:47:59.753290Z"
     }
    }
   },
@@ -277,7 +270,7 @@
     {
      "data": {
       "text/plain": "<IPython.core.display.HTML object>",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th>coin</th>\n      <th>network</th>\n      <th>liquidity, GH</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td>hydrogen</td>\n      <td>bostrom</td>\n      <td>9.065225e+04</td>\n    </tr>\n    <tr>\n      <td>boot</td>\n      <td>bostrom</td>\n      <td>4.452616e+04</td>\n    </tr>\n    <tr>\n      <td>uatom in bostrom</td>\n      <td>bostrom</td>\n      <td>3.084910e+04</td>\n    </tr>\n    <tr>\n      <td>boot in osmosis</td>\n      <td>osmosis</td>\n      <td>2.890715e+04</td>\n    </tr>\n    <tr>\n      <td>uosmo in bostrom</td>\n      <td>bostrom</td>\n      <td>2.025942e+04</td>\n    </tr>\n    <tr>\n      <td>uosmo</td>\n      <td>osmosis</td>\n      <td>9.601957e+03</td>\n    </tr>\n    <tr>\n      <td>hydrogen in osmosis</td>\n      <td>osmosis</td>\n      <td>8.895922e+03</td>\n    </tr>\n    <tr>\n      <td>milliampere</td>\n      <td>bostrom</td>\n      <td>8.168157e+03</td>\n    </tr>\n    <tr>\n      <td>millivolt</td>\n      <td>bostrom</td>\n      <td>7.504633e+03</td>\n    </tr>\n    <tr>\n      <td>weth in osmosis</td>\n      <td>osmosis</td>\n      <td>7.106759e+03</td>\n    </tr>\n    <tr>\n      <td>btc in osmosis</td>\n      <td>osmosis</td>\n      <td>3.109746e+03</td>\n    </tr>\n    <tr>\n      <td>sol in osmosis</td>\n      <td>osmosis</td>\n      <td>7.871090e+02</td>\n    </tr>\n    <tr>\n      <td>usdt in osmosis</td>\n      <td>osmosis</td>\n      <td>6.559565e+02</td>\n    </tr>\n    <tr>\n      <td>utia in osmosis</td>\n      <td>osmosis</td>\n      <td>6.147842e+02</td>\n    </tr>\n    <tr>\n      <td>dot in osmosis</td>\n      <td>osmosis</td>\n      <td>6.063318e+02</td>\n    </tr>\n    <tr>\n      <td>tocyb</td>\n      <td>bostrom</td>\n      <td>5.401934e+02</td>\n    </tr>\n    <tr>\n      <td>liquidpussy</td>\n      <td>space-pussy</td>\n      <td>4.567891e+02</td>\n    </tr>\n    <tr>\n      <td>pussy in bostrom</td>\n      <td>bostrom</td>\n      <td>4.389768e+02</td>\n    </tr>\n    <tr>\n      <td>pussy</td>\n      <td>space-pussy</td>\n      <td>3.587492e+02</td>\n    </tr>\n    <tr>\n      <td>millivolt(pussy)</td>\n      <td>space-pussy</td>\n      <td>8.082054e+01</td>\n    </tr>\n    <tr>\n      <td>milliampere(pussy)</td>\n      <td>space-pussy</td>\n      <td>4.479118e+01</td>\n    </tr>\n    <tr>\n      <td>liquidpussy in bostrom</td>\n      <td>bostrom</td>\n      <td>3.358829e+01</td>\n    </tr>\n    <tr>\n      <td>tocyb in osmosis</td>\n      <td>osmosis</td>\n      <td>8.692795e+00</td>\n    </tr>\n    <tr>\n      <td>uatom in osmosis</td>\n      <td>osmosis</td>\n      <td>6.048119e+00</td>\n    </tr>\n    <tr>\n      <td>aevmos in bostrom</td>\n      <td>bostrom</td>\n      <td>5.249795e+00</td>\n    </tr>\n    <tr>\n      <td>ugraviton in bostrom</td>\n      <td>bostrom</td>\n      <td>5.247012e+00</td>\n    </tr>\n    <tr>\n      <td>ujuno in bostrom</td>\n      <td>bostrom</td>\n      <td>3.512000e+00</td>\n    </tr>\n    <tr>\n      <td>weth.grv in osmosis</td>\n      <td>osmosis</td>\n      <td>5.317932e-01</td>\n    </tr>\n    <tr>\n      <td>udsm in bostrom</td>\n      <td>bostrom</td>\n      <td>5.202833e-01</td>\n    </tr>\n    <tr>\n      <td>aevmos in osmosis</td>\n      <td>osmosis</td>\n      <td>1.063843e-01</td>\n    </tr>\n    <tr>\n      <td>uion</td>\n      <td>osmosis</td>\n      <td>2.390654e-02</td>\n    </tr>\n    <tr>\n      <td>uflix in osmosis</td>\n      <td>osmosis</td>\n      <td>1.870546e-02</td>\n    </tr>\n    <tr>\n      <td>ujuno in osmosis</td>\n      <td>osmosis</td>\n      <td>6.935343e-04</td>\n    </tr>\n    <tr>\n      <td>ugraviton in osmosis</td>\n      <td>osmosis</td>\n      <td>4.652550e-06</td>\n    </tr>\n    <tr>\n      <td>reth in osmosis</td>\n      <td>osmosis</td>\n      <td>1.043173e-08</td>\n    </tr>\n    <tr>\n      <td>weth.grv in bostrom</td>\n      <td>bostrom</td>\n      <td>0.000000e+00</td>\n    </tr>\n    <tr>\n      <td>deprecated uatom in bostrom</td>\n      <td>bostrom</td>\n      <td>0.000000e+00</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th>coin</th>\n      <th>network</th>\n      <th>liquidity, GH</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td>hydrogen</td>\n      <td>bostrom</td>\n      <td>9.537357e+04</td>\n    </tr>\n    <tr>\n      <td>boot</td>\n      <td>bostrom</td>\n      <td>4.675166e+04</td>\n    </tr>\n    <tr>\n      <td>uatom in bostrom</td>\n      <td>bostrom</td>\n      <td>3.303139e+04</td>\n    </tr>\n    <tr>\n      <td>boot in osmosis</td>\n      <td>osmosis</td>\n      <td>3.014672e+04</td>\n    </tr>\n    <tr>\n      <td>uosmo in bostrom</td>\n      <td>bostrom</td>\n      <td>2.145523e+04</td>\n    </tr>\n    <tr>\n      <td>weth in osmosis</td>\n      <td>osmosis</td>\n      <td>9.548094e+03</td>\n    </tr>\n    <tr>\n      <td>millivolt</td>\n      <td>bostrom</td>\n      <td>9.405580e+03</td>\n    </tr>\n    <tr>\n      <td>milliampere</td>\n      <td>bostrom</td>\n      <td>9.392708e+03</td>\n    </tr>\n    <tr>\n      <td>uosmo</td>\n      <td>osmosis</td>\n      <td>9.234488e+03</td>\n    </tr>\n    <tr>\n      <td>hydrogen in osmosis</td>\n      <td>osmosis</td>\n      <td>7.353099e+03</td>\n    </tr>\n    <tr>\n      <td>btc in osmosis</td>\n      <td>osmosis</td>\n      <td>3.767960e+03</td>\n    </tr>\n    <tr>\n      <td>sol in osmosis</td>\n      <td>osmosis</td>\n      <td>9.416066e+02</td>\n    </tr>\n    <tr>\n      <td>tocyb</td>\n      <td>bostrom</td>\n      <td>8.198420e+02</td>\n    </tr>\n    <tr>\n      <td>utia in osmosis</td>\n      <td>osmosis</td>\n      <td>8.139640e+02</td>\n    </tr>\n    <tr>\n      <td>usdt in osmosis</td>\n      <td>osmosis</td>\n      <td>7.322101e+02</td>\n    </tr>\n    <tr>\n      <td>dot in osmosis</td>\n      <td>osmosis</td>\n      <td>6.771857e+02</td>\n    </tr>\n    <tr>\n      <td>liquidpussy</td>\n      <td>space-pussy</td>\n      <td>5.851412e+02</td>\n    </tr>\n    <tr>\n      <td>pussy</td>\n      <td>space-pussy</td>\n      <td>4.617981e+02</td>\n    </tr>\n    <tr>\n      <td>pussy in bostrom</td>\n      <td>bostrom</td>\n      <td>4.531691e+02</td>\n    </tr>\n    <tr>\n      <td>millivolt(pussy)</td>\n      <td>space-pussy</td>\n      <td>1.016908e+02</td>\n    </tr>\n    <tr>\n      <td>milliampere(pussy)</td>\n      <td>space-pussy</td>\n      <td>5.636214e+01</td>\n    </tr>\n    <tr>\n      <td>liquidpussy in bostrom</td>\n      <td>bostrom</td>\n      <td>3.772481e+01</td>\n    </tr>\n    <tr>\n      <td>uatom in osmosis</td>\n      <td>osmosis</td>\n      <td>5.365577e+00</td>\n    </tr>\n    <tr>\n      <td>aevmos in bostrom</td>\n      <td>bostrom</td>\n      <td>5.249886e+00</td>\n    </tr>\n    <tr>\n      <td>ugraviton in bostrom</td>\n      <td>bostrom</td>\n      <td>5.247012e+00</td>\n    </tr>\n    <tr>\n      <td>tocyb in osmosis</td>\n      <td>osmosis</td>\n      <td>4.194552e+00</td>\n    </tr>\n    <tr>\n      <td>ujuno in bostrom</td>\n      <td>bostrom</td>\n      <td>3.512000e+00</td>\n    </tr>\n    <tr>\n      <td>weth.grv in osmosis</td>\n      <td>osmosis</td>\n      <td>6.145848e-01</td>\n    </tr>\n    <tr>\n      <td>udsm in bostrom</td>\n      <td>bostrom</td>\n      <td>5.202833e-01</td>\n    </tr>\n    <tr>\n      <td>aevmos in osmosis</td>\n      <td>osmosis</td>\n      <td>8.622043e-02</td>\n    </tr>\n    <tr>\n      <td>uion</td>\n      <td>osmosis</td>\n      <td>2.560836e-02</td>\n    </tr>\n    <tr>\n      <td>uflix in osmosis</td>\n      <td>osmosis</td>\n      <td>1.271918e-02</td>\n    </tr>\n    <tr>\n      <td>ujuno in osmosis</td>\n      <td>osmosis</td>\n      <td>6.935343e-04</td>\n    </tr>\n    <tr>\n      <td>ugraviton in osmosis</td>\n      <td>osmosis</td>\n      <td>4.983750e-06</td>\n    </tr>\n    <tr>\n      <td>reth in osmosis</td>\n      <td>osmosis</td>\n      <td>1.117433e-08</td>\n    </tr>\n    <tr>\n      <td>deprecated uatom in bostrom</td>\n      <td>bostrom</td>\n      <td>0.000000e+00</td>\n    </tr>\n    <tr>\n      <td>weth.grv in bostrom</td>\n      <td>bostrom</td>\n      <td>0.000000e+00</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -285,7 +278,7 @@
     {
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\n"
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\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -347,11 +340,35 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:06:40.471342Z",
-     "start_time": "2024-01-07T05:06:40.210124Z"
+     "end_time": "2024-02-10T05:48:00.466079Z",
+     "start_time": "2024-02-10T05:48:00.188038Z"
     }
    }
   },
+  {
+   "cell_type": "code",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "aevmos in osmosis                       0.0\nweth.grv in osmosis                     0.0\nujuno in osmosis                   8.174632\ndeprecated uatom in bostrom             NaN\nboot in osmosis                           1\nbtc in osmosis                     0.036882\ndot in osmosis                     0.054305\nuosmo in bostrom                 125.655945\nhydrogen in osmosis                0.263123\nuflix in osmosis                        NaN\nmillivolt                       19789.87407\nhydrogen                           0.268473\ntocyb in osmosis                   1.156957\nuatom in bostrom                 725.291333\ntocyb                              1.156957\nusdt in osmosis                   74.557675\nmilliampere(pussy)                      NaN\nujuno in bostrom                   8.174632\npussy in bostrom                   0.000162\nugraviton in bostrom                    NaN\npussy                              0.000162\nutia in osmosis                 1495.436883\nliquidpussy                             NaN\nmilliampere                     1784.528062\nugraviton in osmosis               0.031645\nudsm in bostrom                         NaN\nreth in osmosis                         0.0\nuion                           27947.731707\nweth.grv in bostrom                     0.0\nweth in osmosis                         0.0\naevmos in bostrom                       NaN\nuatom in osmosis                 745.536477\nboot                                      1\nuosmo                            125.655945\nliquidpussy in bostrom                  NaN\nsol in osmosis                     80.75718\nmillivolt(pussy)                        NaN\nuatom                            745.536477\nujuno                              8.174632\nName: boot, dtype: object"
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "price_enriched_df.loc['boot']"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2024-02-10T05:48:00.470654Z",
+     "start_time": "2024-02-10T05:48:00.465995Z"
+    }
+   },
+   "execution_count": 7
+  },
   {
    "cell_type": "code",
    "outputs": [],
@@ -359,11 +376,11 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:06:40.472774Z",
-     "start_time": "2024-01-07T05:06:40.470051Z"
+     "end_time": "2024-02-10T05:48:00.473274Z",
+     "start_time": "2024-02-10T05:48:00.470032Z"
     }
    },
-   "execution_count": 6
+   "execution_count": 7
   }
  ],
  "metadata": {
diff --git a/revenue_model.ipynb b/revenue_model.ipynb
index a9b7b2f..e57962c 100644
--- a/revenue_model.ipynb
+++ b/revenue_model.ipynb
@@ -39,8 +39,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:05:36.866312Z",
-     "start_time": "2024-01-07T05:05:36.100729Z"
+     "end_time": "2024-02-10T05:47:43.743271Z",
+     "start_time": "2024-02-10T05:47:42.766786Z"
     }
    }
   },
@@ -87,8 +87,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:05:36.874816Z",
-     "start_time": "2024-01-07T05:05:36.869603Z"
+     "end_time": "2024-02-10T05:47:43.748132Z",
+     "start_time": "2024-02-10T05:47:43.746266Z"
     }
    }
   },
@@ -130,8 +130,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:05:36.875220Z",
-     "start_time": "2024-01-07T05:05:36.873450Z"
+     "end_time": "2024-02-10T05:47:43.752450Z",
+     "start_time": "2024-02-10T05:47:43.749677Z"
     }
    }
   },
@@ -175,8 +175,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:05:36.880882Z",
-     "start_time": "2024-01-07T05:05:36.876515Z"
+     "end_time": "2024-02-10T05:47:43.757358Z",
+     "start_time": "2024-02-10T05:47:43.753726Z"
     }
    }
   },
@@ -209,8 +209,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:05:36.891429Z",
-     "start_time": "2024-01-07T05:05:36.880662Z"
+     "end_time": "2024-02-10T05:47:43.761228Z",
+     "start_time": "2024-02-10T05:47:43.758215Z"
     }
    }
   },
@@ -315,8 +315,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:05:36.955748Z",
-     "start_time": "2024-01-07T05:05:36.887453Z"
+     "end_time": "2024-02-10T05:47:43.789548Z",
+     "start_time": "2024-02-10T05:47:43.765Z"
     }
    }
   },
@@ -336,12 +336,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "BOOT Supply           1,179,775,169,055,882\n",
-      "BOOT Staked             283,733,818,601,165\n",
+      "BOOT Supply           1,184,768,201,944,181\n",
+      "BOOT Staked             286,664,648,013,238\n",
       "BOOT Inflation                         5.46%\n",
       "BOOT Inflation Community Tax          10.00%\n",
-      "BOOT Staking Revenue without restake  19.41%\n",
-      "BOOT Staking Revenue with restake     21.42%\n"
+      "BOOT Staking Revenue without restake  19.29%\n",
+      "BOOT Staking Revenue with restake     21.27%\n"
      ]
     },
     {
@@ -356,7 +356,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Degen revenue actual   29.3%\n",
+      "Degen revenue actual   28.5%\n",
       "Degen revenue optimal  35.0%\n"
      ]
     },
@@ -372,7 +372,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Staking + Investminting revenue actual   40.9%\n",
+      "Staking + Investminting revenue actual   44.1%\n",
       "Staking + Investminting revenue optimal  40.0%\n"
      ]
     },
@@ -388,7 +388,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Investminting revenue actual   67.7%\n",
+      "Investminting revenue actual   84.9%\n",
       "Investminting revenue optimal  40.0%\n"
      ]
     },
@@ -404,16 +404,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "AMPERE price actual 5,640,675 H optimal 3,287,671, AMPERE can decrease by 1.72 times\n",
-      "VOLT price actual 54,843,238 H optimal 32,876,712, VOLT can decrease by 1.67 times\n",
-      "H price actual 0.288 BOOT optimal 0.5, H can increase by 1.74 times\n",
+      "AMPERE price actual 6,533,868 H optimal 3,287,671, AMPERE can decrease by 1.99 times\n",
+      "VOLT price actual 74,245,128 H optimal 32,876,712, VOLT can decrease by 2.26 times\n",
+      "H price actual 0.268 BOOT optimal 0.5, H can increase by 1.86 times\n",
       "\n",
       "OSMO price\n",
-      "\t- in bostrom 435,974,920 H\n",
-      "\t- in osmosis 436,254,039 H\n",
+      "\t- in bostrom 469,934,513 H\n",
+      "\t- in osmosis 468,040,202 H\n",
       "ATOM price\n",
-      "\t- in bostrom 2,446,550,839 H\n",
-      "\t- in osmosis 2,394,672,014 H\n"
+      "\t- in bostrom 2,754,836,219 H\n",
+      "\t- in osmosis 2,776,956,106 H\n"
      ]
     }
    ],
@@ -423,8 +423,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:05:54.973383Z",
-     "start_time": "2024-01-07T05:05:36.966018Z"
+     "end_time": "2024-02-10T05:47:53.524219Z",
+     "start_time": "2024-02-10T05:47:43.771734Z"
     }
    }
   },
@@ -444,12 +444,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "PUSSY Supply       1,032,218,280,228,027,245\n",
-      "PUSSY Staked          27,730,711,902,605,005\n",
+      "PUSSY Supply       1,034,727,628,440,134,303\n",
+      "PUSSY Staked          28,164,863,927,011,930\n",
       "PUSSY Inflation                         3.00%\n",
       "PUSSY Inflation Community Tax          20.00%\n",
-      "PUSSY Staking Revenue without restake  84.87%\n",
-      "PUSSY Staking Revenue with restake     133.43%\n"
+      "PUSSY Staking Revenue without restake  83.76%\n",
+      "PUSSY Staking Revenue with restake     130.87%\n"
      ]
     },
     {
@@ -464,7 +464,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Degen revenue actual  181.3%\n",
+      "Degen revenue actual  177.1%\n",
       "Degen revenue optimal  35.0%\n"
      ]
     },
@@ -480,7 +480,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Staking + Investminting revenue actual  150.8%\n",
+      "Staking + Investminting revenue actual  148.0%\n",
       "Staking + Investminting revenue optimal  40.0%\n"
      ]
     },
@@ -496,7 +496,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Investminting revenue actual   62.0%\n",
+      "Investminting revenue actual   61.9%\n",
       "Investminting revenue optimal  40.0%\n"
      ]
     },
@@ -512,9 +512,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "AMPERE price actual 5,550,089 LP optimal 3,287,671, AMPERE can decrease by 1.69 times\n",
-      "VOLT price actual 46,370,288 LP optimal 32,876,712, VOLT can decrease by 1.41 times\n",
-      "LP price actual 0.280 PUSSY optimal 0.5, LP can increase by 1.78 times\n"
+      "AMPERE price actual 5,544,173 LP optimal 3,287,671, AMPERE can decrease by 1.69 times\n",
+      "VOLT price actual 46,336,313 LP optimal 32,876,712, VOLT can decrease by 1.41 times\n",
+      "LP price actual 0.277 PUSSY optimal 0.5, LP can increase by 1.81 times\n"
      ]
     }
    ],
@@ -529,8 +529,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:06:04.839803Z",
-     "start_time": "2024-01-07T05:05:54.975794Z"
+     "end_time": "2024-02-10T05:47:59.146556Z",
+     "start_time": "2024-02-10T05:47:53.525881Z"
     }
    }
   },
@@ -550,12 +550,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "UATOM Supply             381,845,653,621,915\n",
-      "UATOM Staked             245,307,785,992,917\n",
+      "UATOM Supply             386,064,139,463,675\n",
+      "UATOM Staked             252,598,088,245,551\n",
       "UATOM Inflation                        10.00%\n",
       "UATOM Inflation Community Tax          10.00%\n",
-      "UATOM Staking Revenue without restake  13.31%\n",
-      "UATOM Staking Revenue with restake     14.23%\n"
+      "UATOM Staking Revenue without restake  13.07%\n",
+      "UATOM Staking Revenue with restake     13.96%\n"
      ]
     }
    ],
@@ -570,8 +570,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:06:13.019154Z",
-     "start_time": "2024-01-07T05:06:04.842455Z"
+     "end_time": "2024-02-10T05:48:05.787233Z",
+     "start_time": "2024-02-10T05:47:59.148059Z"
     }
    }
   },
@@ -583,8 +583,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-01-07T05:06:13.021128Z",
-     "start_time": "2024-01-07T05:06:13.018395Z"
+     "end_time": "2024-02-10T05:48:05.788304Z",
+     "start_time": "2024-02-10T05:48:05.786042Z"
     }
    }
   }
diff --git a/src/data_extractors.py b/src/data_extractors.py
index ff7ae1b..ee9b3f1 100644
--- a/src/data_extractors.py
+++ b/src/data_extractors.py
@@ -1,19 +1,19 @@
-import requests
-import pandas as pd
-import numpy as np
-from math import isnan, sqrt
-from IPython.display import display, HTML
-from pandarallel import pandarallel
 from itertools import permutations, combinations, chain
+from math import isnan, sqrt
 from typing import Optional, Union, Literal
 
+import numpy as np
+import pandas as pd
+import requests
+from IPython.display import display, HTML
 from cyberutils.bash import get_json_from_bash_query
+from pandarallel import pandarallel
 
-from src.swap_utils import get_pool_value_by_coin
-from src.denom_utils import rename_denom, reverse_rename_denom
 from config import BOSTROM_RELATED_OSMO_POOLS, BOSTROM_POOLS_BASH_QUERY, OSMOSIS_POOLS_API_URL, BOSTROM_NODE_RPC_URL, \
     PUSSY_POOLS_BASH_QUERY, PUSSY_NODE_RPC_URL, INTERCHANGEABLE_IBC_COINS, COINS_IN_DIFFERENT_CHAINS, \
     CRESCENT_POOLS_API_URL, POOL_FEE
+from src.denom_utils import rename_denom, reverse_rename_denom
+from src.swap_utils import get_pool_value_by_coin
 
 
 def get_pools_cyber(network: Literal['bostrom', 'space-pussy'] = 'bostrom',
@@ -389,16 +389,35 @@ def get_price_enriched(price_df: pd.DataFrame, base_coin_denom: str = 'hydrogen'
     return _price_enriched_df
 
 
+def get_pool_liquidity(balances: list,
+                       price_enriched_df: pd.DataFrame,
+                       target_denom: str = 'hydrogen') -> float:
+    if not balances:
+        return 0
+    denoms = [item['denom'] for item in balances]
+    balances_dict = {item['denom']: int(item['amount']) for item in balances}
+    if target_denom in denoms:
+        return balances_dict[target_denom] * 2
+    if not isnan(price_enriched_df.loc[target_denom, denoms[0]]):
+        return balances_dict[denoms[0]] * price_enriched_df.loc[target_denom, denoms[0]] * 2
+    if not isnan(price_enriched_df.loc[target_denom, denoms[1]]):
+        return balances_dict[denoms[1]] * price_enriched_df.loc[target_denom, denoms[1]] * 2
+    return 0
+
+
 def get_pools_and_prices(networks: Optional[list[str]],
                          pools_isin: Optional[dict[str, list]] = None,
-                         pools_not_isin: Optional[dict[str, list]] = None) -> [pd.DataFrame, pd.DataFrame, pd.DataFrame]:
+                         pools_not_isin: Optional[dict[str, list]] = None,
+                         target_denom: str = 'hydrogen') -> [pd.DataFrame, pd.DataFrame, pd.DataFrame]:
     """
     Get pool, direct price, and enriched price data
     :param networks: a list of `bostrom`, `space-pussy` or `osmosis` networks, all of them are extracted by default
     :param pools_isin: dictionary with pools which must be in result
     :param pools_not_isin: dictionary with pools which must not be in result
+    :param target_denom: target denom for pool liquidity calculation
     :return: pool, direct price, and enriched price dataframes
     """
+
     _pools_df = get_pools(networks=networks)
     if pools_isin:
         _pools_df = _pools_df[
@@ -409,9 +428,13 @@ def get_pools_and_prices(networks: Optional[list[str]],
     if pools_not_isin:
         _pools_df = _pools_df[
             _pools_df.apply(
-                lambda row: True if row['network'] in pools_not_isin.keys() and row.id not in pools_not_isin[
+                lambda row: True if row['network'] not in pools_not_isin.keys() or row.id not in pools_not_isin[
                     row['network']] else False,
                 axis=1)]
     _price_df = get_prices(pools_df=_pools_df)
-    _price_enriched_df = get_price_enriched(price_df=_price_df)
+    _price_enriched_df = get_price_enriched(price_df=_price_df, base_coin_denom=target_denom)
+    _pools_df['liquidity, ' + target_denom] = (
+        _pools_df['balances'].map(
+            lambda _balance: get_pool_liquidity(balances=_balance, target_denom=target_denom,
+                                                price_enriched_df=_price_enriched_df)))
     return _pools_df, _price_df, _price_enriched_df
diff --git a/src/swap_utils.py b/src/swap_utils.py
index 4c33dc4..0b87be0 100644
--- a/src/swap_utils.py
+++ b/src/swap_utils.py
@@ -43,13 +43,13 @@ def get_pool_value_by_coin(
 
 def get_balance(
         address: Union[str, AccAddress],
-        price_df: Optional[pd.DataFrame] = None,
+        price_enriched_df: Optional[pd.DataFrame] = None,
         base_coin_denom: Optional[str] = 'hydrogen',
         display_exceptions: bool = False) -> [int, Coins]:
     """
     Extract address balance by coins and convert it to base denomination
     :param address: address
-    :param price_df: dataframe with price data
+    :param price_enriched_df: dataframe with enriched price data
     :param base_coin_denom: a base denom
     :param display_exceptions: display or not exceptions about finding coin in price_df
     :return: address balance converted to base denomination and address balance by coins
@@ -72,12 +72,12 @@ def get_balance(
     _balance_all_coins = _lcd_client.bank.balance(address=AccAddress(address))[0]
 
     _balance_in_base_coin = 0
-    if price_df is not None and base_coin_denom:
+    if price_enriched_df is not None and base_coin_denom:
         for _coin in _balance_all_coins.to_list():
             _coin_denom = rename_denom(_coin.denom)
             try:
-                _balance_in_base_coin += _coin.amount * price_df.loc[base_coin_denom, _coin_denom] \
-                    if price_df.loc[base_coin_denom, _coin_denom] > 0 else 0
+                _balance_in_base_coin += _coin.amount * price_enriched_df.loc[base_coin_denom, _coin_denom] \
+                    if price_enriched_df.loc[base_coin_denom, _coin_denom] > 0 else 0
             except KeyError:
                 if display_exceptions:
                     print(f'{_coin_denom} not found in price_df')
@@ -87,13 +87,13 @@ def get_balance(
 
 def get_total_balance(
         addresses: list[Union[str, AccAddress]],
-        price_df: Optional[pd.DataFrame] = None,
+        price_enriched_df: Optional[pd.DataFrame] = None,
         base_coin_denom: Optional[str] = 'hydrogen',
         display_exceptions: bool = False) -> [int, Coins]:
     """
     Extract addresses balance by coins and convert it to base denomination
     :param addresses: list of addresses
-    :param price_df: dataframe with price data
+    :param price_enriched_df: dataframe with enriched price data
     :param base_coin_denom: a base denom
     :param display_exceptions: display or not exceptions about finding coin in price_df
     :return: total addresses balance converted to base denomination and total addresses balance by coins
@@ -102,7 +102,7 @@ def get_total_balance(
     _balance_all_coins = Coins()
     for _address in addresses:
         _balance_item, _balance_all_coins_item = get_balance(address=_address,
-                                                             price_df=price_df,
+                                                             price_enriched_df=price_enriched_df,
                                                              base_coin_denom=base_coin_denom,
                                                              display_exceptions=display_exceptions)
         _balance += _balance_item
@@ -145,7 +145,7 @@ def actual_decorator(func):
         def wrapper(*args, **kwargs):
             initial_balance, initial_balance_all_coins = get_total_balance(
                 addresses=wallet_addresses,
-                price_df=price_enriched_df,
+                price_enriched_df=price_enriched_df,
                 base_coin_denom=base_coin_denom)
             try:
                 return_value = func(*args, **kwargs)
@@ -156,7 +156,7 @@ def wrapper(*args, **kwargs):
 
             final_balance, final_balance_all_coins = get_total_balance(
                 addresses=wallet_addresses,
-                price_df=price_enriched_df,
+                price_enriched_df=price_enriched_df,
                 base_coin_denom=base_coin_denom)
 
             logging.info(