course/introduction/lesson-21.ipynb

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    "# Graphics: Line Plots\n",
    "\n",
    "This lesson covers:\n",
    "\n",
    "* Basic plotting \n",
    "* Subplots \n",
    "* Histograms \n",
    "* Scatter Plots"
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    "Plotting in notebooks requires using a magic command, which starts with\n",
    "`%`, to initialize the plotting backend."
   ]
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    "# Setup\n",
    "%matplotlib inline"
   ]
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   "source": [
    "Begin by loading the data in hf.h5. This data set contains high-frequency\n",
    "price data for IBM and MSFT on a single day stored as two Series. IBM is\n",
    "stored as \"IBM\" in the HDF file, and MSFT is stored as \"MSFT."
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    "## Problem: Basic Plotting\n",
    "\n",
    "1. Plot the `ibm` series which contains the price of IBM. \n",
    "2. Add a title and label the axes. \n",
    "3. Add markers and remove the line. "
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   "source": [
    "## Problem: Subplot\n",
    "\n",
    "Create a 2 by 1 subplot with the price of IBM in the top subplot and the\n",
    "price of MSFT in the bottom subplot. "
   ]
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    "## Problem: Plot with Dates\n",
    "\n",
    "Use `matplotlib` to directly plot `ibm` against its `index`. This is a\n",
    "repeat of a previous plot but shows how to use the `plot` command directly. "
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    "## Exercises\n",
    "\n",
    "### Exercise: Change seaborn\n",
    "\n",
    "Produce a line plot of MSFT's price using seaborn's \"whitegrid\" style."
   ]
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    "### Exercise: HLOC plot\n",
    "\n",
    "Use the HLOC data to produce a plot of MSFT's 5 minute HLOC\n",
    "where the there are no lines, high is demarcated using a green triangle,\n",
    "low is demarcated using a red downward pointing triangle, open is demarcated \n",
    "using a light grey leftward facing triangle and close is demarcated using\n",
    "a right facing triangle.\n",
    "\n",
    "**Note** Get the axes from the first, plot, and reuse this when plotting \n",
    "the other series."
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    "# Setup: Load data and create values\n",
    "import pandas as pd\n",
    "\n",
    "msft = pd.read_hdf(\"data/hf.h5\", \"MSFT\")\n",
    "msft_5min = msft.resample(\"300S\")\n",
    "high = msft_5min.max()\n",
    "low = msft_5min.min()\n",
    "open = msft_5min.first()\n",
    "close = msft_5min.last()"
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