Python Bootcamp Notebook Examples

Presidential Ratings Stub.ipynb

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   "source": [
    "import numpy as np\n",
    "import pandas\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
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   "source": [
    "# Use read_csv to load a CSV file as a DataFrame\n",
    "ratings = pandas.read_csv(\"http://lignos.org/pybootcamp/examples/presidents.csv\")"
   ]
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   "cell_type": "code",
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   "source": [
    "# Make a line plot using plt.plot to show the ratings by the year"
   ]
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   "cell_type": "code",
   "execution_count": 2,
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   "source": [
    "# Group by the year and compute the per-year mean. This requires two steps:\n",
    "# 1. Add a new column that is the year rounded down.\n",
    "# 2. Group by the new column and compute means"
   ]
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   "cell_type": "code",
   "execution_count": 3,
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   "source": [
    "# Plot the yearly means"
   ]
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Presidential Ratings.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "# Use read_csv to load a CSV file as a DataFrame\n",
    "ratings = pandas.read_csv(\"http://lignos.org/pybootcamp/examples/presidents.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Make a line plot using plt.plot to show the ratings by the year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Group by the year and compute the per-year mean. This requires two steps:\n",
    "# 1. Add a new column that is the year rounded down.\n",
    "# 2. Group by the new column and compute means"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "# Plot the yearly means"
   ]
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