Coding_with_Python_in_Jupyter_Notebooks.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Running Python in Notebooks\n",
    "\n",
    "---\n",
    "\n",
    "Jupyter (previously known as IPython) is a dynamic interaction platform that works with the shell and your browser so that you may code and visualize the results in one environment. The closest analog is an RMarkdown document. An important advantage is that you can step by step build your results and analysis, write your text, and visualize the graphs and results without having to constantly re-render the entire document to see updates. This strength is also a weakness as you may inadvertently introduce errors, load data, or create variables in the wrong order, causing errors when trying to replicate.\n",
    "\n",
    "---\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basics of Jupyter (IPython) Notebooks\n",
    "\n",
    "To start up a Jupyter notebook server, simply navigate to the directory where you want the notebooks to be saved and run the command. \n",
    "\n",
    "```Bash\n",
    "jupyter notebook\n",
    "```\n",
    "\n",
    "A browser should open with a notebook navigator. From here, you can either click to open an existing notebook or click the \"New\" button and select \"Python 3\". You may rename any notebook by clicking its title at the top of the page.\n",
    "\n",
    "Notebooks are sequences of cells. Cells can be markdown, code, or raw text. You can run Markdown or code in cells, similar to RMarkdown.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calling the Command Line from Jupyter\n",
    "\n",
    "#### Note: you can call the command line from jupyter by using a \"!\" before the command.\n",
    "\n",
    "#### *For example, you could use this option to commit your work on Git* "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "On branch master\r\n",
      "Your branch is up-to-date with 'origin/master'.\r\n",
      "nothing to commit, working directory clean\r\n"
     ]
    }
   ],
   "source": [
    "!git status"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "# Getting the Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Today, we will be using data from the [NOAA National Climatic Data Center](https://www.ncdc.noaa.gov/oa/climate/ghcn-daily/)\n",
    "\n",
    "Further documentation on this data is available here: [http://doi.org/10.7289/V5D21VHZ]( http://doi.org/10.7289/V5D21VHZ). A readme file and [codebook for the data](http://www1.ncdc.noaa.gov/pub/data/ghcn/daily/readme.txt) is also available.\n",
    "\n",
    "We will download the daily data, as well as data on the ghcnd stations using [curl](https://curl.haxx.se/docs/manpage.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "100  146M  100  146M    0     0  7363k      0  0:00:20  0:00:20 --:--:-- 8656k\n",
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "100 8461k  100 8461k    0     0  2487k      0  0:00:03  0:00:03 --:--:-- 2487k\n"
     ]
    }
   ],
   "source": [
    "#Download the Data Using Curl\n",
    "!curl -O http://www1.ncdc.noaa.gov/pub/data/ghcn/daily/by_year/2016.csv.gz\n",
    "!gunzip 2016.csv.gz\n",
    "!curl -O http://www1.ncdc.noaa.gov/pub/data/ghcn/daily/ghcnd-stations.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "# Exploratory Data Analysis with Pandas\n",
    "\n",
    "[Pandas](http://pandas.pydata.org/) is a library created by [Wes McKinney](http://blog.wesmckinney.com/) that introduces the R-like dataframe object to Python and makes working with data in Python a lot easier. It's also a lot more efficient than the R dataframe and pretty much makes Python superior to R in every imaginable way (except for ggplot 2). \n",
    "\n",
    "We start by importing the libraries we're going to use: `pandas` and `matplotlib`.\n",
    "\n",
    "For R users, importing a package is equivalent to `library(package_name)`.\n",
    "\n",
    "Note that packages are often loaded in Python using an alias, as shown below. In this way, when we later call a pandas function, we can refer to it as `pd.function_name` instead of `pandas.function_name`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Import Statements\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "#Turn of Notebook Package Warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In Jupyter notebooks, some utilities can be imported with [magic statements](https://ipython.org/ipython-doc/3/interactive/magics.html) indicated by a `%`, not to be confused with the python operator `%`. Magic commands only apply to the Jupyter notebook and begin a line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Magic Statement\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will also set the file location used. If you cloned the repository and ran the steps sequentially, then the relative directory location should be correct."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# File Locations\n",
    "# Change these on your machine (if needed)\n",
    "datadir = \"\"\n",
    "weather_data_raw = datadir + \"2016.csv\"\n",
    "station_data_raw = datadir + \"ghcnd-stations.txt\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading Data into a Pandas DataFrame\n",
    "\n",
    "So far we've been working with raw text files. That's one way to store and interact with data, but there are only a limited set of functions that can take as input raw text. Python has an amazing array of data structures to work with that give you a lot of extra power in working with data. \n",
    "\n",
    "Build in Data Structures\n",
    "- strings \"\"\n",
    "- lists []\n",
    "- tuples ()\n",
    "- sets {}\n",
    "- dictionaries {'key':value}\n",
    "\n",
    "Additional Essential Data Structures\n",
    "\n",
    "- numpy arrys ([])\n",
    "- pandas Series\n",
    "- pandas DataFrame\n",
    "- tensorflow Tensors\n",
    "\n",
    "\n",
    "Today we'll primarily be working with the pandas DataFrame. The pandas DataFrame is a two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes. It's basically a spreadsheet you can program and it's an incredibly useful Python object for data analysis. \n",
    "\n",
    "You can load data into a dataframe using Pandas' excellent `read_*` functions.\n",
    "\n",
    "Today, we will use `read_table`\n",
    "\n",
    "**Tips on Documentation**:\n",
    "* TAB COMPLETION \n",
    "* Jupyter will pull of the doc string for a command just by asking it a question.\n",
    "* Jupyter will give you the allowable arguments if you it `shift + tab`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Try Getting Help (Esc to Exit)\n",
    "pd.read_table?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the Data with Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "weather = pd.read_table(weather_data_raw, sep=\",\", header=None)\n",
    "stations = pd.read_table(station_data_raw, header=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## View the Data in Pandas\n",
    "\n",
    "There are lots of options for viewing data in pandas. Just like we did in the command line, you can use `head` and `tail` to get a quick view of our data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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     "execution_count": 6,
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   "source": [
    "weather.head()"
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   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
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   "outputs": [
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       "                    0         1     2    3    4    5  6   7\n",
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       "25992854  USR0000ABAN  20161019  TAVG  241  NaN  NaN  U NaN"
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     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(25992855, 8)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Dimensions of the DataFrame\n",
    "weather.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     object\n",
       "1      int64\n",
       "2     object\n",
       "3      int64\n",
       "4     object\n",
       "5     object\n",
       "6     object\n",
       "7    float64\n",
       "dtype: object"
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     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "#Types of Data\n",
    "weather.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note: You'll notice that some commands have looked like pd.something(), some like data.something(), and some like data.something without (). The difference is a pandas function or class versus methods versus attributes. Methods are actions you take on a dataframe or series, while attributes are descriptors or the dataframe or series.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Modifying your DataFrame\n",
    "\n",
    "Notice that we don't have column names and some columns are full of null values. Let's fix that by learning how to name and delete columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([0, 1, 2, 3, 4, 5, 6, 7], dtype='int64')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Current Data Columns\n",
    "weather.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Drop columns 4, 5, 6, & 7\n",
    "weather.drop([4,5,6,7], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
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   "outputs": [
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   "source": [
    "weather.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the header of the data frame has no column names, only numbers. We can assign column names by creating a list and setting the data frame columns equal to the list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
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       "      <th>1</th>\n",
       "      <td>NOE00133566</td>\n",
       "      <td>20160101</td>\n",
       "      <td>TMAX</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NOE00133566</td>\n",
       "      <td>20160101</td>\n",
       "      <td>TMIN</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NOE00133566</td>\n",
       "      <td>20160101</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>USC00141761</td>\n",
       "      <td>20160101</td>\n",
       "      <td>TMAX</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    station_id      date measurement  value\n",
       "0  US1FLSL0019  20160101        PRCP      3\n",
       "1  NOE00133566  20160101        TMAX     95\n",
       "2  NOE00133566  20160101        TMIN     23\n",
       "3  NOE00133566  20160101        PRCP     37\n",
       "4  USC00141761  20160101        TMAX     22"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Assign Column Names Using a List\n",
    "weather_cols = ['station_id','date','measurement','value']\n",
    "weather.columns = weather_cols\n",
    "weather.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Describing the Entire DataFrame\n",
    "\n",
    "Now that we have columns, we want to get a better global view of our data. There are several ways "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.599286e+07</td>\n",
       "      <td>2.599286e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.016053e+07</td>\n",
       "      <td>9.316203e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.715776e+02</td>\n",
       "      <td>3.132428e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.016010e+07</td>\n",
       "      <td>-9.990000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.016031e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.016052e+07</td>\n",
       "      <td>8.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.016073e+07</td>\n",
       "      <td>1.390000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.016102e+07</td>\n",
       "      <td>2.374900e+04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               date         value\n",
       "count  2.599286e+07  2.599286e+07\n",
       "mean   2.016053e+07  9.316203e+01\n",
       "std    2.715776e+02  3.132428e+02\n",
       "min    2.016010e+07 -9.990000e+02\n",
       "25%    2.016031e+07  0.000000e+00\n",
       "50%    2.016052e+07  8.000000e+00\n",
       "75%    2.016073e+07  1.390000e+02\n",
       "max    2.016102e+07  2.374900e+04"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Selecting and Subsetting in Pandas\n",
    "\n",
    "One of the biggest benefits of having a multi-index object like a DataFrame is the ability to easily select rows, columns, and subsets of the data. Let's learn how to do that.\n",
    "\n",
    "First we will select individual series from the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    PRCP\n",
       "1    TMAX\n",
       "2    TMIN\n",
       "3    PRCP\n",
       "4    TMAX\n",
       "Name: measurement, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather['measurement'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    PRCP\n",
       "1    TMAX\n",
       "2    TMIN\n",
       "3    PRCP\n",
       "4    TMAX\n",
       "Name: measurement, dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#using . notation\n",
    "weather.measurement.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3    PRCP\n",
       "4    TMAX\n",
       "5    TMIN\n",
       "6    TOBS\n",
       "7    PRCP\n",
       "8    SNOW\n",
       "9    SNWD\n",
       "Name: measurement, dtype: object"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#subset by row index\n",
    "weather.measurement[3:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>measurement</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SNOW</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SNWD</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>TMAX</td>\n",
       "      <td>-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>TMIN</td>\n",
       "      <td>-177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>TOBS</td>\n",
       "      <td>-61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   measurement  value\n",
       "7         PRCP      0\n",
       "8         SNOW      0\n",
       "9         SNWD      0\n",
       "10        TMAX    -25\n",
       "11        TMIN   -177\n",
       "12        TOBS    -61\n",
       "13        PRCP      0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Use the iloc method \n",
    "weather.iloc[7:14,2:4] #Rows 7:10, Columns 2:4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's subset on row values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     True\n",
       "1    False\n",
       "2    False\n",
       "3     True\n",
       "4    False\n",
       "Name: measurement, dtype: bool"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create a Boolean Series based on a condition\n",
    "example_bool = weather['measurement']=='PRCP'\n",
    "example_bool.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station_id</th>\n",
       "      <th>date</th>\n",
       "      <th>measurement</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>US1FLSL0019</td>\n",
       "      <td>20160101</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NOE00133566</td>\n",
       "      <td>20160101</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>USC00141761</td>\n",
       "      <td>20160101</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>USS0018D08S</td>\n",
       "      <td>20160101</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>MXM00076423</td>\n",
       "      <td>20160101</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     station_id      date measurement  value\n",
       "0   US1FLSL0019  20160101        PRCP      3\n",
       "3   NOE00133566  20160101        PRCP     37\n",
       "7   USC00141761  20160101        PRCP      0\n",
       "13  USS0018D08S  20160101        PRCP      0\n",
       "19  MXM00076423  20160101        PRCP      0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Now pass that series to the dataframe to subset it\n",
    "rain = weather[weather['measurement']=='PRCP']\n",
    "rain.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "rain.sort_values('value', inplace=True, ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station_id</th>\n",
       "      <th>date</th>\n",
       "      <th>measurement</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10483923</th>\n",
       "      <td>ASN00040334</td>\n",
       "      <td>20160420</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>11958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4944588</th>\n",
       "      <td>CA006012501</td>\n",
       "      <td>20160221</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>9154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4382740</th>\n",
       "      <td>CA003013959</td>\n",
       "      <td>20160215</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>6162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9471450</th>\n",
       "      <td>CA003013959</td>\n",
       "      <td>20160409</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>6071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19219679</th>\n",
       "      <td>USC00406374</td>\n",
       "      <td>20160726</td>\n",
       "      <td>PRCP</td>\n",
       "      <td>5588</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           station_id      date measurement  value\n",
       "10483923  ASN00040334  20160420        PRCP  11958\n",
       "4944588   CA006012501  20160221        PRCP   9154\n",
       "4382740   CA003013959  20160215        PRCP   6162\n",
       "9471450   CA003013959  20160409        PRCP   6071\n",
       "19219679  USC00406374  20160726        PRCP   5588"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rain.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Creating a Chicago Temperature Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station_id</th>\n",
       "      <th>date</th>\n",
       "      <th>measurement</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>46959</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160101</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141175</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160102</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235989</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160103</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332478</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160104</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430009</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160105</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         station_id      date measurement  value\n",
       "46959   USW00094846  20160101        TAVG    -48\n",
       "141175  USW00094846  20160102        TAVG    -28\n",
       "235989  USW00094846  20160103        TAVG    -29\n",
       "332478  USW00094846  20160104        TAVG    -28\n",
       "430009  USW00094846  20160105        TAVG    -36"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's Create a Chicago Temperature Dataset\n",
    "chicago = weather[weather['station_id']=='USW00094846']\n",
    "chicago_temp = weather[(weather['measurement']=='TAVG') & (weather['station_id']=='USW00094846')]\n",
    "chicago_temp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station_id</th>\n",
       "      <th>date</th>\n",
       "      <th>measurement</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1680773</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160118</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1006530</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160111</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1777625</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160119</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1202047</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160113</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1585364</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160117</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-136</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          station_id      date measurement  value\n",
       "1680773  USW00094846  20160118        TAVG   -174\n",
       "1006530  USW00094846  20160111        TAVG   -149\n",
       "1777625  USW00094846  20160119        TAVG   -146\n",
       "1202047  USW00094846  20160113        TAVG   -141\n",
       "1585364  USW00094846  20160117        TAVG   -136"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_temp.sort_values('value').head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station_id</th>\n",
       "      <th>date</th>\n",
       "      <th>measurement</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>141175</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160102</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235989</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160103</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332478</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160104</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430009</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160105</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527207</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160106</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         station_id      date measurement  value\n",
       "141175  USW00094846  20160102        TAVG    -28\n",
       "235989  USW00094846  20160103        TAVG    -29\n",
       "332478  USW00094846  20160104        TAVG    -28\n",
       "430009  USW00094846  20160105        TAVG    -36\n",
       "527207  USW00094846  20160106        TAVG    -21"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Viewing Values Based on Criteria\n",
    "chicago_temp = chicago_temp[chicago_temp.value>-40]\n",
    "chicago_temp.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Applying functions to series and creating new columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "149.05474452554745"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_temp.value.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    274.000000\n",
       "mean     149.054745\n",
       "std       92.998763\n",
       "min      -36.000000\n",
       "25%       71.250000\n",
       "50%      170.500000\n",
       "75%      228.750000\n",
       "max      292.000000\n",
       "Name: value, dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_temp.value.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### User Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station_id</th>\n",
       "      <th>date</th>\n",
       "      <th>measurement</th>\n",
       "      <th>value</th>\n",
       "      <th>deg_celsius</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>141175</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160102</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-28</td>\n",
       "      <td>-2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235989</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160103</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-29</td>\n",
       "      <td>-2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332478</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160104</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-28</td>\n",
       "      <td>-2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430009</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160105</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-36</td>\n",
       "      <td>-3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527207</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160106</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-21</td>\n",
       "      <td>-2.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         station_id      date measurement  value  deg_celsius\n",
       "141175  USW00094846  20160102        TAVG    -28         -2.8\n",
       "235989  USW00094846  20160103        TAVG    -29         -2.9\n",
       "332478  USW00094846  20160104        TAVG    -28         -2.8\n",
       "430009  USW00094846  20160105        TAVG    -36         -3.6\n",
       "527207  USW00094846  20160106        TAVG    -21         -2.1"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Apply user defined functions\n",
    "def tenths_to_degree(temp_tenths_celsius):\n",
    "    \"\"\"\n",
    "    Function to Convert Temperature (tenths of degrees C)\n",
    "    to degrees Celsius\n",
    "    \"\"\"\n",
    "    return ((temp_tenths_celsius)/(10))\n",
    "\n",
    "chicago_temp['deg_celsius']=chicago_temp.value.apply(tenths_to_degree)\n",
    "chicago_temp.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convert strings to datetime values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "station_id             object\n",
       "date                    int64\n",
       "measurement            object\n",
       "value                   int64\n",
       "deg_celsius           float64\n",
       "datetime       datetime64[ns]\n",
       "dtype: object"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_temp['datetime'] = pd.to_datetime(chicago_temp.date, format='%Y%m%d')\n",
    "chicago_temp.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can plot the series with ease!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station_id</th>\n",
       "      <th>date</th>\n",
       "      <th>measurement</th>\n",
       "      <th>value</th>\n",
       "      <th>deg_celsius</th>\n",
       "      <th>datetime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>141175</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160102</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-28</td>\n",
       "      <td>-2.8</td>\n",
       "      <td>2016-01-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235989</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160103</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-29</td>\n",
       "      <td>-2.9</td>\n",
       "      <td>2016-01-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332478</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160104</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-28</td>\n",
       "      <td>-2.8</td>\n",
       "      <td>2016-01-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430009</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160105</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-36</td>\n",
       "      <td>-3.6</td>\n",
       "      <td>2016-01-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527207</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160106</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-21</td>\n",
       "      <td>-2.1</td>\n",
       "      <td>2016-01-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         station_id      date measurement  value  deg_celsius   datetime\n",
       "141175  USW00094846  20160102        TAVG    -28         -2.8 2016-01-02\n",
       "235989  USW00094846  20160103        TAVG    -29         -2.9 2016-01-03\n",
       "332478  USW00094846  20160104        TAVG    -28         -2.8 2016-01-04\n",
       "430009  USW00094846  20160105        TAVG    -36         -3.6 2016-01-05\n",
       "527207  USW00094846  20160106        TAVG    -21         -2.1 2016-01-06"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_temp.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Groupby\n",
    "Groupby is a powerful method that makes it easy to perform operations on the dataframe by categorical values. Let's try generating a plot of min, max, and average temp over time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TAVG    293\n",
       "TMIN    290\n",
       "TMAX    290\n",
       "Name: measurement, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_temps = chicago[chicago.measurement.isin(['TMAX','TMIN','TAVG'])]\n",
    "chicago_temps.measurement.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station_id</th>\n",
       "      <th>date</th>\n",
       "      <th>measurement</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>46953</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160101</td>\n",
       "      <td>TMAX</td>\n",
       "      <td>-5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46954</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160101</td>\n",
       "      <td>TMIN</td>\n",
       "      <td>-71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46959</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160101</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141169</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160102</td>\n",
       "      <td>TMAX</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141170</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160102</td>\n",
       "      <td>TMIN</td>\n",
       "      <td>-66</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         station_id      date measurement  value\n",
       "46953   USW00094846  20160101        TMAX     -5\n",
       "46954   USW00094846  20160101        TMIN    -71\n",
       "46959   USW00094846  20160101        TAVG    -48\n",
       "141169  USW00094846  20160102        TMAX      0\n",
       "141170  USW00094846  20160102        TMIN    -66"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_temps.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "measurement\n",
       "TAVG    132.996587\n",
       "TMAX    179.986207\n",
       "TMIN     83.713793\n",
       "Name: value, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_temps.groupby('measurement').value.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>mean</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>measurement</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>TAVG</th>\n",
       "      <td>293</td>\n",
       "      <td>-174</td>\n",
       "      <td>292</td>\n",
       "      <td>132.996587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TMAX</th>\n",
       "      <td>290</td>\n",
       "      <td>-138</td>\n",
       "      <td>339</td>\n",
       "      <td>179.986207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TMIN</th>\n",
       "      <td>290</td>\n",
       "      <td>-199</td>\n",
       "      <td>239</td>\n",
       "      <td>83.713793</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             count  min  max        mean\n",
       "measurement                             \n",
       "TAVG           293 -174  292  132.996587\n",
       "TMAX           290 -138  339  179.986207\n",
       "TMIN           290 -199  239   83.713793"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_temps.groupby('measurement').value.agg(['count','min','max','mean'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "# Basic Visualization of the Data\n",
    "\n",
    "In Python, there are numerous ways to plot data. One of the most dominant plotting methods in Python is Matplotlib. For example, these graphs are often used for [visualizing evaluation metrics in machine learning](http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html). Besides these packages, other plotting suites include [Seaborn](https://seaborn.pydata.org/tutorial/categorical.html) and even a Python version of [ggplot](http://blog.yhat.com/posts/ggplot-for-python.html) which will be mostly familiar to R users. More information about these packages can be found at the links below:\n",
    "\n",
    "* [Matplotlib](http://matplotlib.org/gallery.html)\n",
    "* [Seaborn](https://seaborn.pydata.org/tutorial/categorical.html)\n",
    "* [ggplot](http://blog.yhat.com/posts/ggplot-for-python.html)\n",
    "\n",
    "#### Matplotlib charts can be fairly easy to implement, but are not the most aesthetically pleasing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10f615940>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MBWMgycV0/0kurKp7Rl2PxpeTvzRKbUR0GngC8MCqumXEJY0dQ8EOoB33fVlV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\njaFAkiQBhgJJktQYCiRJEmAokCRJzf8HsbcBEJhMGMoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114cbada0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chicago_temps.groupby('measurement').value.mean().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Although you can go through some rigmarole to improve the appearance, other packages have better aesthetics by default.\n",
    "\n",
    "---\n",
    "\n",
    "## Plotting Using Seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AAE2YMEErV6506YAAAABAaTkVuUePHlWrVq2KLW/Tpo1OnjxZ5qEAAACAsnAqcoODg3X0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\nLgAAAIzz/wDADQiOwzqJ8AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115a17a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "#Barplot\n",
    "sns.barplot(x=\"measurement\", y=\"value\", data=chicago_temps);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Pcg3LQPxdmqbh8Xjo2rUrBoOBzMzM4Ka6nJwczp49S/fugTf+9PR0ZsyYQVFR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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115a43c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Violin Plot\n",
    "sns.violinplot(x=\"measurement\", y=\"value\", data=chicago_temps);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Plotting Using ggplot (For Python)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Install ggplot for Python 3 if Needed\n",
    "#!pip3 install -U ggplot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### For R Users: Note that this version of ggplot includes some of the same data as ggplot2\n",
    "\n",
    "#### [Examples Courtesy of Yhat](http://ggplot.yhathq.com/docs/scale_color_brewer.html):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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EcWTnp/+Brx9uDe2qllHZtAX3tXehqq0B39Qvypm+oCL6euOuZuq8Qa4a3iFh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29wuv4qXcW5h0ctPAJtLOpfFaEAgEAoHgg8T3vvc9Xn75Zb7xjW9c1HmFZV4gEEwY+vr6SKdH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\nlRxLor5A3IjzTss71ERqAHApLub55lFi+3i2ZfVrflY2riSoBwHY1r6NWbm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Qx9CMHQQE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bvcqHpi/8RzHQxrSASrk0462D4mNWgvbbQyvsaRMZh3mwGQTerG70gJ5rtzRCWCjkxV6BKm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\noSdxbXdV90kAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113e97f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223372036565461034)>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from ggplot import *\n",
    "ggplot(aes(x='carat', y='price', color='clarity'), data=diamonds) +\\\n",
    "    geom_point() +\\\n",
    "    scale_color_brewer(type='qual') + \\\n",
    "    ggtitle(\"Diamond Price by Carat and Clarity\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using ggplot for Chicago Weather\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Before implementing the ggplot, let's first clean up the datetime to make it more useful:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station_id</th>\n",
       "      <th>date</th>\n",
       "      <th>measurement</th>\n",
       "      <th>value</th>\n",
       "      <th>datetime</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160101</td>\n",
       "      <td>TMAX</td>\n",
       "      <td>-5</td>\n",
       "      <td>2016-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160101</td>\n",
       "      <td>TMIN</td>\n",
       "      <td>-71</td>\n",
       "      <td>2016-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160101</td>\n",
       "      <td>TAVG</td>\n",
       "      <td>-48</td>\n",
       "      <td>2016-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-02</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160102</td>\n",
       "      <td>TMAX</td>\n",
       "      <td>0</td>\n",
       "      <td>2016-01-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-02</th>\n",
       "      <td>USW00094846</td>\n",
       "      <td>20160102</td>\n",
       "      <td>TMIN</td>\n",
       "      <td>-66</td>\n",
       "      <td>2016-01-02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             station_id      date measurement  value   datetime\n",
       "datetime                                                       \n",
       "2016-01-01  USW00094846  20160101        TMAX     -5 2016-01-01\n",
       "2016-01-01  USW00094846  20160101        TMIN    -71 2016-01-01\n",
       "2016-01-01  USW00094846  20160101        TAVG    -48 2016-01-01\n",
       "2016-01-02  USW00094846  20160102        TMAX      0 2016-01-02\n",
       "2016-01-02  USW00094846  20160102        TMIN    -66 2016-01-02"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_temps['datetime'] = pd.to_datetime(chicago_temps.date, format='%Y%m%d')\n",
    "chicago_temps.index = chicago_temps.datetime\n",
    "chicago_temps.dtypes\n",
    "chicago_temps.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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RUQnA8E9EVIq0b98ely5dQkZGhkqvukJgYCCWLVuGffv2oXHjxhqXr7hpEBcXhzp16ojL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z/5ScnEWhQDdtXfO/sAW0f8U3/ZvXs3DMPAySefDCD8nP9yOv8q4p/a9plnntHadzWIf7FYYDnb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\nIzX/C6iCl156Cfn5+Vi1ahVsNhv8fj/+67/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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11848ef28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (294823502)>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(chicago_temps, aes('datetime', y='value')) + \\\n",
    "    geom_line() + \\\n",
    "    ggtitle(\"Chicago Min, Max, and Average Temps \\n Temperature (tenths of degrees C)\") + xlab(\"Date\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "#### We Can Spruce This Up A Bit with Some Color and Variation by Min, Max, and Average Temperatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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atGi628U+4uPjef/995k4caKx7b807VNkZCQmk4kOHTpQp06dnO7OA23IkCFE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0nS0FgJpKoQ0zCcCaQ7dwYGdBKQLhijnaGWloUr2ywbUsKjf67ud5vEJts2FRJulCER1342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\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wh+KiZeNxtmyAa0GIMkitGSt2lBWfSA8yyLwage27ysFpZRHGJhC4LRtFUaf45Bsgg8fa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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115d162e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223372036563464623)>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Refined Time Series ggplot\n",
    "ggplot(chicago_temps, aes(x='datetime', y='value', colour='measurement')) + \\\n",
    "    geom_line() + \\\n",
    "    ggtitle(\"Chicago Min, Max, and Average Temps in 2016 \\n Temperature (tenths of degrees C)\") + \\\n",
    "    xlab(\"Date\") + ylab(\"Temperature\") + \\\n",
    "    scale_color_manual(values=(\"#399999\", \"#E69F00\", \"#56B4E9\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "*Note, that parts of this notebook have been adapted from [Data Science for the Social Good's](https://dssg.uchicago.edu) \"Hitchhiker's Guide\" [Tech Tutorials](https://github.com/dssg/hitchhikers-guide/blob/master/tech-tutorials/data-exploration-in-python/worksheets/Getting%20Started%20Working%20with%20Data%20In%20Python.ipynb). This notebook includes modifications to update the notebook to Python 3, adjust for errors in temperature scale, data documentation, and new plotting packages including Seaborn and ggplot (for Python).*\n",
    "\n",
    "\n",
    "---"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}