maps_exercise.ipynb

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   "source": [
    "# import geopandas and matplotlib\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt"
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    "# countries data\n",
    "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))"
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    "**Print the top 5 rows of world dataframe.**"
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    "**Remove continents which have only one country in dataframe.**\n"
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    "# continents with only one country\n"
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    "# remove these continents"
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    "**Create dataframe with top 3 most populated countries from each continent and store the result in dataframe with name 'world_filtered'.**\n"
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    "**Print the 'world_filtered' dataframe.**"
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    "-----------------\n",
    "## Part I: Create a choropleth map of world:\n",
    "\n",
    "   - First using **Geopandas**\n",
    "       - Note: Geopandas may not work well on your computers, especially on Windows computers, it is advised to use Google Collab for this assignment. \n",
    "   - Second using **Plotly**\n",
    "       - Note: Plotly may not work well on Jupyter Labs, it is advised to use Jupyter Notebooks or Google Collab for the plotly portion. \n",
    "\n",
    "\n",
    "> #### Notes\n",
    "> * the colors of countries from 'world_filtered' are based on population\n",
    "> * other countries can stay white"
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   "source": [
    "### GeoPandas"
   ]
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   "source": [
    "# create figure and axes\n",
    "\n",
    "\n",
    "\n",
    "# create map from world_filtered data-frame\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# add the rest of the countries"
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    "### Plotly"
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    "-----------\n",
    "## Part II: More Geopandas\n",
    "\n",
    "In Geopandas:\n",
    "\n",
    "* add New York, Berlin, Paris, Toronto, Calgary, Tokyo to the map you have created before\n",
    "    * to get geometry of these cities use the function, **gpd.tools.geocode**(['New York', 'Berlin', 'Paris','Toronto', 'Calgary', 'Tokyo'])\n",
    "    * if you do not have the geopy library instaled, install it with the following command **in the jupyter notebook cell** `!pip install geopy` "
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    "# get geometry\n",
    "\n",
    "\n",
    "# create figure and axes\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# create map from world_filtered data-frame\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# add the rest of the countries\n",
    "\n",
    "\n",
    "\n",
    "# add cities\n"
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