07 Data Enriching.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Python training for data engineers\n",
    "## 07 Data Enriching\n",
    "\n",
    "### Goal\n",
    "Manipulating a dataframe to create a new one\n",
    "* `reset_index`\n",
    "* `pivot`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### XML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "xmldf = pd.read_pickle('xml_dataframe_notebook_05.pickle')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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       "      <td>2097152</td>\n",
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       "      <td>wheel</td>\n",
       "      <td>scikit_learn-0.19.1-cp27-cp27m-win32.whl      ...</td>\n",
       "      <td>scikit-learn</td>\n",
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       "      <td>2017-10-23</td>\n",
       "      <td>scikit_learn-0.19.1-cp27-cp27m-win32.whl      ...</td>\n",
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       "      <td>wheel</td>\n",
       "      <td>scikit_learn-0.19.1-cp27-cp27m-win_amd64.whl  ...</td>\n",
       "      <td>scikit-learn</td>\n",
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       "      <td>5242880</td>\n",
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       "      <td>wheel</td>\n",
       "      <td>scikit_learn-0.19.1-cp34-cp34m-manylinux1_i686...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>cp34</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit_learn-0.19.1-cp34-cp34m-manylinux1_i686...</td>\n",
       "      <td>6</td>\n",
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       "      <td>wheel</td>\n",
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       "      <td>scikit-learn</td>\n",
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       "      <td>wheel</td>\n",
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       "      <td>2017-10-23</td>\n",
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       "      <td>2017-10-23</td>\n",
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       "      <td>5242880</td>\n",
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       "      <td>wheel</td>\n",
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       "      <td>scikit-learn</td>\n",
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       "      <td>2017-10-23</td>\n",
       "      <td>scikit_learn-0.19.1-cp35-cp35m-manylinux1_i686...</td>\n",
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       "      <td>4194304</td>\n",
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       "      <td>scikit-learn</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_learn-0.19.1-cp35-cp35m-win32.whl      ...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>cp35</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit_learn-0.19.1-cp35-cp35m-win32.whl      ...</td>\n",
       "      <td>9</td>\n",
       "      <td>MB</td>\n",
       "      <td>9437184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_learn-0.19.1-cp35-cp35m-win_amd64.whl  ...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>cp35</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit_learn-0.19.1-cp35-cp35m-win_amd64.whl  ...</td>\n",
       "      <td>3</td>\n",
       "      <td>MB</td>\n",
       "      <td>3145728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_learn-0.19.1-cp36-cp36m-macosx_10_6_int...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>cp36</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit_learn-0.19.1-cp36-cp36m-macosx_10_6_int...</td>\n",
       "      <td>6</td>\n",
       "      <td>MB</td>\n",
       "      <td>6291456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_learn-0.19.1-cp36-cp36m-manylinux1_i686...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>cp36</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit_learn-0.19.1-cp36-cp36m-manylinux1_i686...</td>\n",
       "      <td>6</td>\n",
       "      <td>MB</td>\n",
       "      <td>6291456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_learn-0.19.1-cp36-cp36m-manylinux1_x86_...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>cp36</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit_learn-0.19.1-cp36-cp36m-manylinux1_x86_...</td>\n",
       "      <td>4</td>\n",
       "      <td>MB</td>\n",
       "      <td>4194304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_learn-0.19.1-cp36-cp36m-win32.whl      ...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>cp36</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit_learn-0.19.1-cp36-cp36m-win32.whl      ...</td>\n",
       "      <td>9</td>\n",
       "      <td>MB</td>\n",
       "      <td>9437184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_learn-0.19.1-cp36-cp36m-win_amd64.whl  ...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>cp36</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit_learn-0.19.1-cp36-cp36m-win_amd64.whl  ...</td>\n",
       "      <td>3</td>\n",
       "      <td>MB</td>\n",
       "      <td>3145728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>source</td>\n",
       "      <td>scikit-learn-0.19.1.tar.gz                    ...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>None</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit-learn-0.19.1.tar.gz                    ...</td>\n",
       "      <td>5</td>\n",
       "      <td>MB</td>\n",
       "      <td>5242880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>windows installer</td>\n",
       "      <td>scikit-learn-0.19.1.win32-py2.7.exe           ...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>2.7</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit-learn-0.19.1.win32-py2.7.exe           ...</td>\n",
       "      <td>3</td>\n",
       "      <td>MB</td>\n",
       "      <td>3145728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>windows installer</td>\n",
       "      <td>scikit-learn-0.19.1.win32-py3.5.exe           ...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>3.5</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit-learn-0.19.1.win32-py3.5.exe           ...</td>\n",
       "      <td>4</td>\n",
       "      <td>MB</td>\n",
       "      <td>4194304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>windows installer</td>\n",
       "      <td>scikit-learn-0.19.1.win-amd64-py2.7.exe       ...</td>\n",
       "      <td>scikit-learn</td>\n",
       "      <td>2.7</td>\n",
       "      <td>2017-10-23</td>\n",
       "      <td>scikit-learn-0.19.1.win-amd64-py2.7.exe       ...</td>\n",
       "      <td>7</td>\n",
       "      <td>MB</td>\n",
       "      <td>7340032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_build-0.6.1-py2.py3-none-any.whl       ...</td>\n",
       "      <td>scikit-build</td>\n",
       "      <td>py2.py3</td>\n",
       "      <td>2017-06-08</td>\n",
       "      <td>scikit_build-0.6.1-py2.py3-none-any.whl       ...</td>\n",
       "      <td>9</td>\n",
       "      <td>kB</td>\n",
       "      <td>9216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_ci_addons-0.20.0-py2.py3-none-any.whl  ...</td>\n",
       "      <td>scikit-ci-addons</td>\n",
       "      <td>py2.py3</td>\n",
       "      <td>2017-11-16</td>\n",
       "      <td>scikit_ci_addons-0.20.0-py2.py3-none-any.whl  ...</td>\n",
       "      <td>2</td>\n",
       "      <td>kB</td>\n",
       "      <td>2048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_cycling-0.1.3-cp27-cp27m-macosx_10_6_in...</td>\n",
       "      <td>scikit-cycling</td>\n",
       "      <td>cp27</td>\n",
       "      <td>2018-03-19</td>\n",
       "      <td>scikit_cycling-0.1.3-cp27-cp27m-macosx_10_6_in...</td>\n",
       "      <td>9</td>\n",
       "      <td>MB</td>\n",
       "      <td>9437184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_cycling-0.1.3-cp27-cp27m-manylinux1_i68...</td>\n",
       "      <td>scikit-cycling</td>\n",
       "      <td>cp27</td>\n",
       "      <td>2018-03-19</td>\n",
       "      <td>scikit_cycling-0.1.3-cp27-cp27m-manylinux1_i68...</td>\n",
       "      <td>0</td>\n",
       "      <td>kB</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_chem-0.0.6-py2.py3-none-any.whl        ...</td>\n",
       "      <td>scikit-chem</td>\n",
       "      <td>2.7</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>scikit_chem-0.0.6-py2.py3-none-any.whl        ...</td>\n",
       "      <td>0</td>\n",
       "      <td>kB</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_chem-0.0.6-py3-none-any.whl            ...</td>\n",
       "      <td>scikit-chem</td>\n",
       "      <td>3.5</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>scikit_chem-0.0.6-py3-none-any.whl            ...</td>\n",
       "      <td>0</td>\n",
       "      <td>kB</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_optimize-0.5.2-py2.py3-none-any.whl    ...</td>\n",
       "      <td>scikit-optimize</td>\n",
       "      <td>py2.py3</td>\n",
       "      <td>2018-03-25</td>\n",
       "      <td>scikit_optimize-0.5.2-py2.py3-none-any.whl    ...</td>\n",
       "      <td>5</td>\n",
       "      <td>kB</td>\n",
       "      <td>5120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>wheel</td>\n",
       "      <td>scikit_ribo-0.2.4b1-py3-none-any.whl          ...</td>\n",
       "      <td>scikit-ribo</td>\n",
       "      <td>py3</td>\n",
       "      <td>2017-06-27</td>\n",
       "      <td>scikit_ribo-0.2.4b1-py3-none-any.whl          ...</td>\n",
       "      <td>2</td>\n",
       "      <td>kB</td>\n",
       "      <td>2048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27m-macosx_10_6_x86_64.whl ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp27</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27m-macosx_10_6_x86_64.whl ...</td>\n",
       "      <td>6</td>\n",
       "      <td>kB</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27m-manylinux1_i686.whl    ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp27</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27m-manylinux1_i686.whl    ...</td>\n",
       "      <td>9</td>\n",
       "      <td>kB</td>\n",
       "      <td>9216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27m-manylinux1_x86_64.whl  ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp27</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27m-manylinux1_x86_64.whl  ...</td>\n",
       "      <td>6</td>\n",
       "      <td>kB</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27mu-manylinux1_i686.whl   ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp27</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27mu-manylinux1_i686.whl   ...</td>\n",
       "      <td>9</td>\n",
       "      <td>kB</td>\n",
       "      <td>9216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27mu-manylinux1_x86_64.whl ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp27</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27mu-manylinux1_x86_64.whl ...</td>\n",
       "      <td>6</td>\n",
       "      <td>kB</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27m-win32.whl              ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp27</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27m-win32.whl              ...</td>\n",
       "      <td>6</td>\n",
       "      <td>kB</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27m-win_amd64.whl          ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp27</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp27-cp27m-win_amd64.whl          ...</td>\n",
       "      <td>3</td>\n",
       "      <td>kB</td>\n",
       "      <td>3072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp33-cp33m-macosx_10_6_x86_64.whl ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp33</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp33-cp33m-macosx_10_6_x86_64.whl ...</td>\n",
       "      <td>7</td>\n",
       "      <td>kB</td>\n",
       "      <td>7168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp33-cp33m-manylinux1_i686.whl    ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp33</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp33-cp33m-manylinux1_i686.whl    ...</td>\n",
       "      <td>0</td>\n",
       "      <td>kB</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp33-cp33m-manylinux1_x86_64.whl  ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp33</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp33-cp33m-manylinux1_x86_64.whl  ...</td>\n",
       "      <td>6</td>\n",
       "      <td>kB</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp33-cp33m-win32.whl              ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp33</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp33-cp33m-win32.whl              ...</td>\n",
       "      <td>6</td>\n",
       "      <td>kB</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp33-cp33m-win_amd64.whl          ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp33</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp33-cp33m-win_amd64.whl          ...</td>\n",
       "      <td>3</td>\n",
       "      <td>kB</td>\n",
       "      <td>3072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp34-cp34m-macosx_10_6_x86_64.whl ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp34</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp34-cp34m-macosx_10_6_x86_64.whl ...</td>\n",
       "      <td>6</td>\n",
       "      <td>kB</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp34-cp34m-manylinux1_i686.whl    ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp34</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp34-cp34m-manylinux1_i686.whl    ...</td>\n",
       "      <td>9</td>\n",
       "      <td>kB</td>\n",
       "      <td>9216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp34-cp34m-manylinux1_x86_64.whl  ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp34</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp34-cp34m-manylinux1_x86_64.whl  ...</td>\n",
       "      <td>6</td>\n",
       "      <td>kB</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp34-cp34m-win32.whl              ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp34</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp34-cp34m-win32.whl              ...</td>\n",
       "      <td>5</td>\n",
       "      <td>kB</td>\n",
       "      <td>5120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp34-cp34m-win_amd64.whl          ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp34</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp34-cp34m-win_amd64.whl          ...</td>\n",
       "      <td>2</td>\n",
       "      <td>kB</td>\n",
       "      <td>2048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp35-cp35m-macosx_10_6_x86_64.whl ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp35</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp35-cp35m-macosx_10_6_x86_64.whl ...</td>\n",
       "      <td>6</td>\n",
       "      <td>kB</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp35-cp35m-manylinux1_i686.whl    ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp35</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp35-cp35m-manylinux1_i686.whl    ...</td>\n",
       "      <td>9</td>\n",
       "      <td>kB</td>\n",
       "      <td>9216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp35-cp35m-manylinux1_x86_64.whl  ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp35</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp35-cp35m-manylinux1_x86_64.whl  ...</td>\n",
       "      <td>6</td>\n",
       "      <td>kB</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp35-cp35m-win32.whl              ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp35</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp35-cp35m-win32.whl              ...</td>\n",
       "      <td>4</td>\n",
       "      <td>kB</td>\n",
       "      <td>4096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp35-cp35m-win_amd64.whl          ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp35</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp35-cp35m-win_amd64.whl          ...</td>\n",
       "      <td>2</td>\n",
       "      <td>kB</td>\n",
       "      <td>2048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp36-cp36m-manylinux1_i686.whl    ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp36</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp36-cp36m-manylinux1_i686.whl    ...</td>\n",
       "      <td>9</td>\n",
       "      <td>kB</td>\n",
       "      <td>9216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp36-cp36m-manylinux1_x86_64.whl  ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp36</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp36-cp36m-manylinux1_x86_64.whl  ...</td>\n",
       "      <td>6</td>\n",
       "      <td>kB</td>\n",
       "      <td>6144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp36-cp36m-win32.whl              ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp36</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp36-cp36m-win32.whl              ...</td>\n",
       "      <td>4</td>\n",
       "      <td>kB</td>\n",
       "      <td>4096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>wheel</td>\n",
       "      <td>ninja-1.8.2-cp36-cp36m-win_amd64.whl          ...</td>\n",
       "      <td>ninja</td>\n",
       "      <td>cp36</td>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>ninja-1.8.2-cp36-cp36m-win_amd64.whl          ...</td>\n",
       "      <td>2</td>\n",
       "      <td>kB</td>\n",
       "      <td>2048</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>76 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            file_type                                 filename_size_hash  \\\n",
       "0               wheel  scikit_learn-0.19.1-cp27-cp27m-macosx_10_6_int...   \n",
       "1               wheel  scikit_learn-0.19.1-cp27-cp27m-manylinux1_i686...   \n",
       "2               wheel  scikit_learn-0.19.1-cp27-cp27m-manylinux1_x86_...   \n",
       "3               wheel  scikit_learn-0.19.1-cp27-cp27mu-manylinux1_i68...   \n",
       "4               wheel  scikit_learn-0.19.1-cp27-cp27mu-manylinux1_x86...   \n",
       "5               wheel  scikit_learn-0.19.1-cp27-cp27m-win32.whl      ...   \n",
       "6               wheel  scikit_learn-0.19.1-cp27-cp27m-win_amd64.whl  ...   \n",
       "7               wheel  scikit_learn-0.19.1-cp34-cp34m-macosx_10_6_int...   \n",
       "8               wheel  scikit_learn-0.19.1-cp34-cp34m-manylinux1_i686...   \n",
       "9               wheel  scikit_learn-0.19.1-cp34-cp34m-manylinux1_x86_...   \n",
       "10              wheel  scikit_learn-0.19.1-cp34-cp34m-win32.whl      ...   \n",
       "11              wheel  scikit_learn-0.19.1-cp34-cp34m-win_amd64.whl  ...   \n",
       "12              wheel  scikit_learn-0.19.1-cp35-cp35m-macosx_10_6_int...   \n",
       "13              wheel  scikit_learn-0.19.1-cp35-cp35m-manylinux1_i686...   \n",
       "14              wheel  scikit_learn-0.19.1-cp35-cp35m-manylinux1_x86_...   \n",
       "15              wheel  scikit_learn-0.19.1-cp35-cp35m-win32.whl      ...   \n",
       "16              wheel  scikit_learn-0.19.1-cp35-cp35m-win_amd64.whl  ...   \n",
       "17              wheel  scikit_learn-0.19.1-cp36-cp36m-macosx_10_6_int...   \n",
       "18              wheel  scikit_learn-0.19.1-cp36-cp36m-manylinux1_i686...   \n",
       "19              wheel  scikit_learn-0.19.1-cp36-cp36m-manylinux1_x86_...   \n",
       "20              wheel  scikit_learn-0.19.1-cp36-cp36m-win32.whl      ...   \n",
       "21              wheel  scikit_learn-0.19.1-cp36-cp36m-win_amd64.whl  ...   \n",
       "22             source  scikit-learn-0.19.1.tar.gz                    ...   \n",
       "23  windows installer  scikit-learn-0.19.1.win32-py2.7.exe           ...   \n",
       "24  windows installer  scikit-learn-0.19.1.win32-py3.5.exe           ...   \n",
       "25  windows installer  scikit-learn-0.19.1.win-amd64-py2.7.exe       ...   \n",
       "26              wheel  scikit_build-0.6.1-py2.py3-none-any.whl       ...   \n",
       "27              wheel  scikit_ci_addons-0.20.0-py2.py3-none-any.whl  ...   \n",
       "28              wheel  scikit_cycling-0.1.3-cp27-cp27m-macosx_10_6_in...   \n",
       "29              wheel  scikit_cycling-0.1.3-cp27-cp27m-manylinux1_i68...   \n",
       "..                ...                                                ...   \n",
       "46              wheel  scikit_chem-0.0.6-py2.py3-none-any.whl        ...   \n",
       "47              wheel  scikit_chem-0.0.6-py3-none-any.whl            ...   \n",
       "48              wheel  scikit_optimize-0.5.2-py2.py3-none-any.whl    ...   \n",
       "49              wheel  scikit_ribo-0.2.4b1-py3-none-any.whl          ...   \n",
       "50              wheel  ninja-1.8.2-cp27-cp27m-macosx_10_6_x86_64.whl ...   \n",
       "51              wheel  ninja-1.8.2-cp27-cp27m-manylinux1_i686.whl    ...   \n",
       "52              wheel  ninja-1.8.2-cp27-cp27m-manylinux1_x86_64.whl  ...   \n",
       "53              wheel  ninja-1.8.2-cp27-cp27mu-manylinux1_i686.whl   ...   \n",
       "54              wheel  ninja-1.8.2-cp27-cp27mu-manylinux1_x86_64.whl ...   \n",
       "55              wheel  ninja-1.8.2-cp27-cp27m-win32.whl              ...   \n",
       "56              wheel  ninja-1.8.2-cp27-cp27m-win_amd64.whl          ...   \n",
       "57              wheel  ninja-1.8.2-cp33-cp33m-macosx_10_6_x86_64.whl ...   \n",
       "58              wheel  ninja-1.8.2-cp33-cp33m-manylinux1_i686.whl    ...   \n",
       "59              wheel  ninja-1.8.2-cp33-cp33m-manylinux1_x86_64.whl  ...   \n",
       "60              wheel  ninja-1.8.2-cp33-cp33m-win32.whl              ...   \n",
       "61              wheel  ninja-1.8.2-cp33-cp33m-win_amd64.whl          ...   \n",
       "62              wheel  ninja-1.8.2-cp34-cp34m-macosx_10_6_x86_64.whl ...   \n",
       "63              wheel  ninja-1.8.2-cp34-cp34m-manylinux1_i686.whl    ...   \n",
       "64              wheel  ninja-1.8.2-cp34-cp34m-manylinux1_x86_64.whl  ...   \n",
       "65              wheel  ninja-1.8.2-cp34-cp34m-win32.whl              ...   \n",
       "66              wheel  ninja-1.8.2-cp34-cp34m-win_amd64.whl          ...   \n",
       "67              wheel  ninja-1.8.2-cp35-cp35m-macosx_10_6_x86_64.whl ...   \n",
       "68              wheel  ninja-1.8.2-cp35-cp35m-manylinux1_i686.whl    ...   \n",
       "69              wheel  ninja-1.8.2-cp35-cp35m-manylinux1_x86_64.whl  ...   \n",
       "70              wheel  ninja-1.8.2-cp35-cp35m-win32.whl              ...   \n",
       "71              wheel  ninja-1.8.2-cp35-cp35m-win_amd64.whl          ...   \n",
       "72              wheel  ninja-1.8.2-cp36-cp36m-manylinux1_i686.whl    ...   \n",
       "73              wheel  ninja-1.8.2-cp36-cp36m-manylinux1_x86_64.whl  ...   \n",
       "74              wheel  ninja-1.8.2-cp36-cp36m-win32.whl              ...   \n",
       "75              wheel  ninja-1.8.2-cp36-cp36m-win_amd64.whl          ...   \n",
       "\n",
       "        package_name python_version uploaded_on  \\\n",
       "0       scikit-learn           cp27  2017-10-23   \n",
       "1       scikit-learn           cp27  2017-10-23   \n",
       "2       scikit-learn           cp27  2017-10-23   \n",
       "3       scikit-learn           cp27  2017-10-23   \n",
       "4       scikit-learn           cp27  2017-10-23   \n",
       "5       scikit-learn           cp27  2017-10-23   \n",
       "6       scikit-learn           cp27  2017-10-23   \n",
       "7       scikit-learn           cp34  2017-10-23   \n",
       "8       scikit-learn           cp34  2017-10-23   \n",
       "9       scikit-learn           cp34  2017-10-23   \n",
       "10      scikit-learn           cp34  2017-10-23   \n",
       "11      scikit-learn           cp34  2017-10-23   \n",
       "12      scikit-learn           cp35  2017-10-23   \n",
       "13      scikit-learn           cp35  2017-10-23   \n",
       "14      scikit-learn           cp35  2017-10-23   \n",
       "15      scikit-learn           cp35  2017-10-23   \n",
       "16      scikit-learn           cp35  2017-10-23   \n",
       "17      scikit-learn           cp36  2017-10-23   \n",
       "18      scikit-learn           cp36  2017-10-23   \n",
       "19      scikit-learn           cp36  2017-10-23   \n",
       "20      scikit-learn           cp36  2017-10-23   \n",
       "21      scikit-learn           cp36  2017-10-23   \n",
       "22      scikit-learn           None  2017-10-23   \n",
       "23      scikit-learn            2.7  2017-10-23   \n",
       "24      scikit-learn            3.5  2017-10-23   \n",
       "25      scikit-learn            2.7  2017-10-23   \n",
       "26      scikit-build        py2.py3  2017-06-08   \n",
       "27  scikit-ci-addons        py2.py3  2017-11-16   \n",
       "28    scikit-cycling           cp27  2018-03-19   \n",
       "29    scikit-cycling           cp27  2018-03-19   \n",
       "..               ...            ...         ...   \n",
       "46       scikit-chem            2.7  2016-08-08   \n",
       "47       scikit-chem            3.5  2016-08-08   \n",
       "48   scikit-optimize        py2.py3  2018-03-25   \n",
       "49       scikit-ribo            py3  2017-06-27   \n",
       "50             ninja           cp27  2018-04-08   \n",
       "51             ninja           cp27  2018-04-08   \n",
       "52             ninja           cp27  2018-04-08   \n",
       "53             ninja           cp27  2018-04-08   \n",
       "54             ninja           cp27  2018-04-08   \n",
       "55             ninja           cp27  2018-04-08   \n",
       "56             ninja           cp27  2018-04-08   \n",
       "57             ninja           cp33  2018-04-08   \n",
       "58             ninja           cp33  2018-04-08   \n",
       "59             ninja           cp33  2018-04-08   \n",
       "60             ninja           cp33  2018-04-08   \n",
       "61             ninja           cp33  2018-04-08   \n",
       "62             ninja           cp34  2018-04-08   \n",
       "63             ninja           cp34  2018-04-08   \n",
       "64             ninja           cp34  2018-04-08   \n",
       "65             ninja           cp34  2018-04-08   \n",
       "66             ninja           cp34  2018-04-08   \n",
       "67             ninja           cp35  2018-04-08   \n",
       "68             ninja           cp35  2018-04-08   \n",
       "69             ninja           cp35  2018-04-08   \n",
       "70             ninja           cp35  2018-04-08   \n",
       "71             ninja           cp35  2018-04-08   \n",
       "72             ninja           cp36  2018-04-08   \n",
       "73             ninja           cp36  2018-04-08   \n",
       "74             ninja           cp36  2018-04-08   \n",
       "75             ninja           cp36  2018-04-08   \n",
       "\n",
       "                                             filename  size unit  \\\n",
       "0   scikit_learn-0.19.1-cp27-cp27m-macosx_10_6_int...     0   MB   \n",
       "1   scikit_learn-0.19.1-cp27-cp27m-manylinux1_i686...     4   MB   \n",
       "2   scikit_learn-0.19.1-cp27-cp27m-manylinux1_x86_...     2   MB   \n",
       "3   scikit_learn-0.19.1-cp27-cp27mu-manylinux1_i68...     4   MB   \n",
       "4   scikit_learn-0.19.1-cp27-cp27mu-manylinux1_x86...     2   MB   \n",
       "5   scikit_learn-0.19.1-cp27-cp27m-win32.whl      ...     1   MB   \n",
       "6   scikit_learn-0.19.1-cp27-cp27m-win_amd64.whl  ...     5   MB   \n",
       "7   scikit_learn-0.19.1-cp34-cp34m-macosx_10_6_int...     5   MB   \n",
       "8   scikit_learn-0.19.1-cp34-cp34m-manylinux1_i686...     6   MB   \n",
       "9   scikit_learn-0.19.1-cp34-cp34m-manylinux1_x86_...     4   MB   \n",
       "10  scikit_learn-0.19.1-cp34-cp34m-win32.whl      ...     0   MB   \n",
       "11  scikit_learn-0.19.1-cp34-cp34m-win_amd64.whl  ...     3   MB   \n",
       "12  scikit_learn-0.19.1-cp35-cp35m-macosx_10_6_int...     5   MB   \n",
       "13  scikit_learn-0.19.1-cp35-cp35m-manylinux1_i686...     4   MB   \n",
       "14  scikit_learn-0.19.1-cp35-cp35m-manylinux1_x86_...     2   MB   \n",
       "15  scikit_learn-0.19.1-cp35-cp35m-win32.whl      ...     9   MB   \n",
       "16  scikit_learn-0.19.1-cp35-cp35m-win_amd64.whl  ...     3   MB   \n",
       "17  scikit_learn-0.19.1-cp36-cp36m-macosx_10_6_int...     6   MB   \n",
       "18  scikit_learn-0.19.1-cp36-cp36m-manylinux1_i686...     6   MB   \n",
       "19  scikit_learn-0.19.1-cp36-cp36m-manylinux1_x86_...     4   MB   \n",
       "20  scikit_learn-0.19.1-cp36-cp36m-win32.whl      ...     9   MB   \n",
       "21  scikit_learn-0.19.1-cp36-cp36m-win_amd64.whl  ...     3   MB   \n",
       "22  scikit-learn-0.19.1.tar.gz                    ...     5   MB   \n",
       "23  scikit-learn-0.19.1.win32-py2.7.exe           ...     3   MB   \n",
       "24  scikit-learn-0.19.1.win32-py3.5.exe           ...     4   MB   \n",
       "25  scikit-learn-0.19.1.win-amd64-py2.7.exe       ...     7   MB   \n",
       "26  scikit_build-0.6.1-py2.py3-none-any.whl       ...     9   kB   \n",
       "27  scikit_ci_addons-0.20.0-py2.py3-none-any.whl  ...     2   kB   \n",
       "28  scikit_cycling-0.1.3-cp27-cp27m-macosx_10_6_in...     9   MB   \n",
       "29  scikit_cycling-0.1.3-cp27-cp27m-manylinux1_i68...     0   kB   \n",
       "..                                                ...   ...  ...   \n",
       "46  scikit_chem-0.0.6-py2.py3-none-any.whl        ...     0   kB   \n",
       "47  scikit_chem-0.0.6-py3-none-any.whl            ...     0   kB   \n",
       "48  scikit_optimize-0.5.2-py2.py3-none-any.whl    ...     5   kB   \n",
       "49  scikit_ribo-0.2.4b1-py3-none-any.whl          ...     2   kB   \n",
       "50  ninja-1.8.2-cp27-cp27m-macosx_10_6_x86_64.whl ...     6   kB   \n",
       "51  ninja-1.8.2-cp27-cp27m-manylinux1_i686.whl    ...     9   kB   \n",
       "52  ninja-1.8.2-cp27-cp27m-manylinux1_x86_64.whl  ...     6   kB   \n",
       "53  ninja-1.8.2-cp27-cp27mu-manylinux1_i686.whl   ...     9   kB   \n",
       "54  ninja-1.8.2-cp27-cp27mu-manylinux1_x86_64.whl ...     6   kB   \n",
       "55  ninja-1.8.2-cp27-cp27m-win32.whl              ...     6   kB   \n",
       "56  ninja-1.8.2-cp27-cp27m-win_amd64.whl          ...     3   kB   \n",
       "57  ninja-1.8.2-cp33-cp33m-macosx_10_6_x86_64.whl ...     7   kB   \n",
       "58  ninja-1.8.2-cp33-cp33m-manylinux1_i686.whl    ...     0   kB   \n",
       "59  ninja-1.8.2-cp33-cp33m-manylinux1_x86_64.whl  ...     6   kB   \n",
       "60  ninja-1.8.2-cp33-cp33m-win32.whl              ...     6   kB   \n",
       "61  ninja-1.8.2-cp33-cp33m-win_amd64.whl          ...     3   kB   \n",
       "62  ninja-1.8.2-cp34-cp34m-macosx_10_6_x86_64.whl ...     6   kB   \n",
       "63  ninja-1.8.2-cp34-cp34m-manylinux1_i686.whl    ...     9   kB   \n",
       "64  ninja-1.8.2-cp34-cp34m-manylinux1_x86_64.whl  ...     6   kB   \n",
       "65  ninja-1.8.2-cp34-cp34m-win32.whl              ...     5   kB   \n",
       "66  ninja-1.8.2-cp34-cp34m-win_amd64.whl          ...     2   kB   \n",
       "67  ninja-1.8.2-cp35-cp35m-macosx_10_6_x86_64.whl ...     6   kB   \n",
       "68  ninja-1.8.2-cp35-cp35m-manylinux1_i686.whl    ...     9   kB   \n",
       "69  ninja-1.8.2-cp35-cp35m-manylinux1_x86_64.whl  ...     6   kB   \n",
       "70  ninja-1.8.2-cp35-cp35m-win32.whl              ...     4   kB   \n",
       "71  ninja-1.8.2-cp35-cp35m-win_amd64.whl          ...     2   kB   \n",
       "72  ninja-1.8.2-cp36-cp36m-manylinux1_i686.whl    ...     9   kB   \n",
       "73  ninja-1.8.2-cp36-cp36m-manylinux1_x86_64.whl  ...     6   kB   \n",
       "74  ninja-1.8.2-cp36-cp36m-win32.whl              ...     4   kB   \n",
       "75  ninja-1.8.2-cp36-cp36m-win_amd64.whl          ...     2   kB   \n",
       "\n",
       "    size_in_bytes  \n",
       "0               0  \n",
       "1         4194304  \n",
       "2         2097152  \n",
       "3         4194304  \n",
       "4         2097152  \n",
       "5         1048576  \n",
       "6         5242880  \n",
       "7         5242880  \n",
       "8         6291456  \n",
       "9         4194304  \n",
       "10              0  \n",
       "11        3145728  \n",
       "12        5242880  \n",
       "13        4194304  \n",
       "14        2097152  \n",
       "15        9437184  \n",
       "16        3145728  \n",
       "17        6291456  \n",
       "18        6291456  \n",
       "19        4194304  \n",
       "20        9437184  \n",
       "21        3145728  \n",
       "22        5242880  \n",
       "23        3145728  \n",
       "24        4194304  \n",
       "25        7340032  \n",
       "26           9216  \n",
       "27           2048  \n",
       "28        9437184  \n",
       "29              0  \n",
       "..            ...  \n",
       "46              0  \n",
       "47              0  \n",
       "48           5120  \n",
       "49           2048  \n",
       "50           6144  \n",
       "51           9216  \n",
       "52           6144  \n",
       "53           9216  \n",
       "54           6144  \n",
       "55           6144  \n",
       "56           3072  \n",
       "57           7168  \n",
       "58              0  \n",
       "59           6144  \n",
       "60           6144  \n",
       "61           3072  \n",
       "62           6144  \n",
       "63           9216  \n",
       "64           6144  \n",
       "65           5120  \n",
       "66           2048  \n",
       "67           6144  \n",
       "68           9216  \n",
       "69           6144  \n",
       "70           4096  \n",
       "71           2048  \n",
       "72           9216  \n",
       "73           6144  \n",
       "74           4096  \n",
       "75           2048  \n",
       "\n",
       "[76 rows x 9 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xmldf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create new dataframe from the grouped data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "python_version  file_type        \n",
       "2.7             wheel                 1\n",
       "                windows installer     2\n",
       "3.5             wheel                 1\n",
       "                windows installer     1\n",
       "None            source                1\n",
       "cp27            wheel                21\n",
       "cp33            wheel                 5\n",
       "cp34            wheel                10\n",
       "cp35            wheel                15\n",
       "cp36            wheel                14\n",
       "py2.py3         wheel                 4\n",
       "py3             wheel                 1\n",
       "Name: package_name, dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subdf = xmldf.groupby(['python_version', 'file_type'])['package_name'].count()\n",
    "print(type(subdf))\n",
    "subdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert the Series to a Dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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></th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>python_version</th>\n",
       "      <th>file_type</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2.7</th>\n",
       "      <th>wheel</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>windows installer</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">3.5</th>\n",
       "      <th>wheel</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>windows installer</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>None</th>\n",
       "      <th>source</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp27</th>\n",
       "      <th>wheel</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp33</th>\n",
       "      <th>wheel</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp34</th>\n",
       "      <th>wheel</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp35</th>\n",
       "      <th>wheel</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp36</th>\n",
       "      <th>wheel</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>py2.py3</th>\n",
       "      <th>wheel</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>py3</th>\n",
       "      <th>wheel</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  count\n",
       "python_version file_type               \n",
       "2.7            wheel                  1\n",
       "               windows installer      2\n",
       "3.5            wheel                  1\n",
       "               windows installer      1\n",
       "None           source                 1\n",
       "cp27           wheel                 21\n",
       "cp33           wheel                  5\n",
       "cp34           wheel                 10\n",
       "cp35           wheel                 15\n",
       "cp36           wheel                 14\n",
       "py2.py3        wheel                  4\n",
       "py3            wheel                  1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subdf = subdf.to_frame().rename(columns={'package_name':'count'})\n",
    "subdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create columns from the index:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>python_version</th>\n",
       "      <th>file_type</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.7</td>\n",
       "      <td>wheel</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.7</td>\n",
       "      <td>windows installer</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.5</td>\n",
       "      <td>wheel</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.5</td>\n",
       "      <td>windows installer</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>source</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>cp27</td>\n",
       "      <td>wheel</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>cp33</td>\n",
       "      <td>wheel</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>cp34</td>\n",
       "      <td>wheel</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>cp35</td>\n",
       "      <td>wheel</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>cp36</td>\n",
       "      <td>wheel</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>py2.py3</td>\n",
       "      <td>wheel</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>py3</td>\n",
       "      <td>wheel</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   python_version          file_type  count\n",
       "0             2.7              wheel      1\n",
       "1             2.7  windows installer      2\n",
       "2             3.5              wheel      1\n",
       "3             3.5  windows installer      1\n",
       "4            None             source      1\n",
       "5            cp27              wheel     21\n",
       "6            cp33              wheel      5\n",
       "7            cp34              wheel     10\n",
       "8            cp35              wheel     15\n",
       "9            cp36              wheel     14\n",
       "10        py2.py3              wheel      4\n",
       "11            py3              wheel      1"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subdf = subdf.reset_index()\n",
    "subdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pivoting\n",
    "Pivot the table to get _release type per Python version_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>file_type</th>\n",
       "      <th>source</th>\n",
       "      <th>wheel</th>\n",
       "      <th>windows installer</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>python_version</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2.7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.5</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>None</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp33</th>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp34</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp35</th>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp36</th>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>py2.py3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>py3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "file_type       source  wheel  windows installer\n",
       "python_version                                  \n",
       "2.7                NaN    1.0                2.0\n",
       "3.5                NaN    1.0                1.0\n",
       "None               1.0    NaN                NaN\n",
       "cp27               NaN   21.0                NaN\n",
       "cp33               NaN    5.0                NaN\n",
       "cp34               NaN   10.0                NaN\n",
       "cp35               NaN   15.0                NaN\n",
       "cp36               NaN   14.0                NaN\n",
       "py2.py3            NaN    4.0                NaN\n",
       "py3                NaN    1.0                NaN"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subdf = subdf.pivot(index='python_version', columns='file_type', values='count')\n",
    "subdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fill the NaNs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th>file_type</th>\n",
       "      <th>source</th>\n",
       "      <th>wheel</th>\n",
       "      <th>windows installer</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>python_version</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2.7</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>3.5</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>None</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp33</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp34</th>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp35</th>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cp36</th>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>py2.py3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>py3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "file_type       source  wheel  windows installer\n",
       "python_version                                  \n",
       "2.7                0.0    1.0                2.0\n",
       "3.5                0.0    1.0                1.0\n",
       "None               1.0    0.0                0.0\n",
       "cp27               0.0   21.0                0.0\n",
       "cp33               0.0    5.0                0.0\n",
       "cp34               0.0   10.0                0.0\n",
       "cp35               0.0   15.0                0.0\n",
       "cp36               0.0   14.0                0.0\n",
       "py2.py3            0.0    4.0                0.0\n",
       "py3                0.0    1.0                0.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subdf = subdf.fillna(0)\n",
    "subdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "jsondf = pd.read_pickle('json_dataframe_notebook_05.pickle')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate the maximum for each row:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.0</td>\n",
       "      <td>3209.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>939.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>django-models</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file</th>\n",
       "      <td>0.0</td>\n",
       "      <td>823.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>571.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>flask</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>566.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>function</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>517.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>google-app-engine</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>html</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17053.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5442.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>javascript</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84942.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>json</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2371.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16111.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3739.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>linux</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>list</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1265.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>870.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loops</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>507.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machine-learning</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>804.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>macos</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>matplotlib</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>multithreading</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5505.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mysql</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6968.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>numpy</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>304.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>opencv</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>390.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pandas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pip</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pygame</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pyqt</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>python</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6488.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7204.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>python-2.7</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>583.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>python-3.x</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>python-requests</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>regex</th>\n",
       "      <td>3957.0</td>\n",
       "      <td>3695.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1667.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scikit-learn</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scipy</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scrapy</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1059.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>selenium</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3392.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sockets</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1309.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqlalchemy</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>223.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>string</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2251.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2291.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1078.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>subprocess</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tensorflow</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tkinter</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>web-scraping</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>270.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>861.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>windows</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5051.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>xml</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4621.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1681.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6068.0</td>\n",
       "      <td>1709.0</td>\n",
       "      <td>10086.0</td>\n",
       "      <td>1610.0</td>\n",
       "      <td>8027.0</td>\n",
       "      <td>18351.0</td>\n",
       "      <td>2279.0</td>\n",
       "      <td>1570.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rowMax</th>\n",
       "      <td>3957.0</td>\n",
       "      <td>5505.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>84942.0</td>\n",
       "      <td>223.0</td>\n",
       "      <td>8948.0</td>\n",
       "      <td>939.0</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>7204.0</td>\n",
       "      <td>6068.0</td>\n",
       "      <td>1709.0</td>\n",
       "      <td>10086.0</td>\n",
       "      <td>1610.0</td>\n",
       "      <td>8027.0</td>\n",
       "      <td>18351.0</td>\n",
       "      <td>2279.0</td>\n",
       "      <td>1570.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>51 rows × 863 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   .htaccess    .net    2d     3d  actionscript-3  aggregate  \\\n",
       "algorithm                0.0   678.0   0.0    0.0             0.0        0.0   \n",
       "arrays                   0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "beautifulsoup            0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "c++                      0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "class                    0.0   618.0   0.0    0.0           543.0        0.0   \n",
       "csv                      0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "dataframe                0.0     0.0   0.0    0.0             0.0      261.0   \n",
       "datetime                 0.0  1708.0   0.0    0.0             0.0        0.0   \n",
       "dictionary               0.0   885.0   0.0    0.0             0.0        0.0   \n",
       "django                   0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "django-models            0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "file                     0.0   823.0   0.0    0.0             0.0        0.0   \n",
       "flask                    0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "function                 0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "google-app-engine        0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "html                     0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "javascript               0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "json                     0.0  2371.0   0.0    0.0             0.0        0.0   \n",
       "linux                    0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "list                     0.0  1265.0   0.0    0.0             0.0        0.0   \n",
       "loops                    0.0     0.0   0.0    0.0             0.0        0.0   \n",
       "machine-learning         0.0     0.0   0.0    0.0             0.0        0.0   \n",
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       "python                   0.0     0.0   0.0    0.0             0.0        0.0   \n",
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       "\n",
       "                      ajax  alembic  algorithm  amazon-web-services    ...     \\\n",
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       "\n",
       "                   xgboost     xml  xml-parsing  xml-serialization    xpath  \\\n",
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       "\n",
       "                   xquery     xsd     xslt  xslt-1.0  xslt-2.0  \n",
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       "tensorflow            0.0     0.0      0.0       0.0       0.0  \n",
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       "windows               0.0     0.0      0.0       0.0       0.0  \n",
       "xml                1610.0  8027.0  18351.0    2279.0    1570.0  \n",
       "rowMax             1610.0  8027.0  18351.0    2279.0    1570.0  \n",
       "\n",
       "[51 rows x 863 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_row = {col: jsondf[col].max() for col in jsondf}\n",
    "max_df = pd.DataFrame(max_row, index=[\"rowMax\"])\n",
    "jsondf = jsondf.append(max_df)\n",
    "jsondf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Select the top 50 rows and trim the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "topColumns = jsondf.loc['rowMax'].nlargest(50)\n",
    "topdf = jsondf[topColumns.keys()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "topdf = topdf.drop(['rowMax'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
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       "      <th>beautifulsoup</th>\n",
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       "      <td>98.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>class</th>\n",
       "      <td>1769.0</td>\n",
       "      <td>1104.0</td>\n",
       "      <td>1104.0</td>\n",
       "      <td>2764.0</td>\n",
       "      <td>6235.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7689.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>949.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>csv</th>\n",
       "      <td>599.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>766.0</td>\n",
       "      <td>2317.0</td>\n",
       "      <td>5761.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1494.0</td>\n",
       "      <td>432.0</td>\n",
       "      <td>15832.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>478.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dataframe</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14821.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <td>869.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3124.0</td>\n",
       "      <td>5927.0</td>\n",
       "      <td>303.0</td>\n",
       "      <td>3428.0</td>\n",
       "      <td>808.0</td>\n",
       "      <td>6612.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dictionary</th>\n",
       "      <td>386.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1669.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>460.0</td>\n",
       "      <td>21991.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>510.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>django</th>\n",
       "      <td>4460.0</td>\n",
       "      <td>1415.0</td>\n",
       "      <td>4296.0</td>\n",
       "      <td>5459.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1113.0</td>\n",
       "      <td>1704.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86864.0</td>\n",
       "      <td>3209.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18578.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>django-models</th>\n",
       "      <td>58.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>302.0</td>\n",
       "      <td>18578.0</td>\n",
       "      <td>8031.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file</th>\n",
       "      <td>799.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1131.0</td>\n",
       "      <td>1977.0</td>\n",
       "      <td>5883.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6727.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1371.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>flask</th>\n",
       "      <td>691.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1188.0</td>\n",
       "      <td>1236.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>17262.0</td>\n",
       "      <td>566.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>function</th>\n",
       "      <td>4880.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2132.0</td>\n",
       "      <td>13470.0</td>\n",
       "      <td>8579.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1447.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7919.0</td>\n",
       "      <td>517.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2046.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>google-app-engine</th>\n",
       "      <td>277.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>406.0</td>\n",
       "      <td>746.0</td>\n",
       "      <td>1517.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1423.0</td>\n",
       "      <td>11405.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>html</th>\n",
       "      <td>196909.0</td>\n",
       "      <td>320479.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>298409.0</td>\n",
       "      <td>94089.0</td>\n",
       "      <td>19376.0</td>\n",
       "      <td>3379.0</td>\n",
       "      <td>4296.0</td>\n",
       "      <td>11214.0</td>\n",
       "      <td>17053.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4332.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9023.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>javascript</th>\n",
       "      <td>500680.0</td>\n",
       "      <td>138127.0</td>\n",
       "      <td>298409.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>106618.0</td>\n",
       "      <td>114721.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84942.0</td>\n",
       "      <td>...</td>\n",
       "      <td>18613.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18375.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18111.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>json</th>\n",
       "      <td>33545.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6970.0</td>\n",
       "      <td>54910.0</td>\n",
       "      <td>33331.0</td>\n",
       "      <td>9228.0</td>\n",
       "      <td>1650.0</td>\n",
       "      <td>2436.0</td>\n",
       "      <td>13432.0</td>\n",
       "      <td>16111.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2031.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>linux</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6920.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10106.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4318.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17105.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>list</th>\n",
       "      <td>1219.0</td>\n",
       "      <td>1105.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>1222.0</td>\n",
       "      <td>767.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30503.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loops</th>\n",
       "      <td>2514.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1042.0</td>\n",
       "      <td>5963.0</td>\n",
       "      <td>6744.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>860.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7321.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machine-learning</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7715.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>macos</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>919.0</td>\n",
       "      <td>2086.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6766.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1568.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1756.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>matplotlib</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25829.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>492.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>multithreading</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>755.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9326.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1406.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mysql</th>\n",
       "      <td>10263.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14695.0</td>\n",
       "      <td>12840.0</td>\n",
       "      <td>209689.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100893.0</td>\n",
       "      <td>3874.0</td>\n",
       "      <td>10657.0</td>\n",
       "      <td>6968.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>numpy</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42574.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>opencv</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9145.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pandas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>386.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59204.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pip</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>621.0</td>\n",
       "      <td>6986.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>315.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pygame</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7354.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pyqt</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7860.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>python</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11214.0</td>\n",
       "      <td>8940.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86864.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8031.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8657.0</td>\n",
       "      <td>17262.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17071.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>python-2.7</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>590.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3659.0</td>\n",
       "      <td>53225.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>548.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1105.0</td>\n",
       "      <td>819.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1908.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>python-3.x</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>624.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3657.0</td>\n",
       "      <td>62823.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>570.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1034.0</td>\n",
       "      <td>835.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3663.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>python-requests</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>6001.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>regex</th>\n",
       "      <td>5034.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5027.0</td>\n",
       "      <td>26714.0</td>\n",
       "      <td>26740.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2041.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20116.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1460.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scikit-learn</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scipy</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9971.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scrapy</th>\n",
       "      <td>0.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>315.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>7013.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>selenium</th>\n",
       "      <td>558.0</td>\n",
       "      <td>701.0</td>\n",
       "      <td>1783.0</td>\n",
       "      <td>4017.0</td>\n",
       "      <td>632.0</td>\n",
       "      <td>679.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10588.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sockets</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>2084.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6237.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1004.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqlalchemy</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>978.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>9065.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1658.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>string</th>\n",
       "      <td>1659.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1672.0</td>\n",
       "      <td>7418.0</td>\n",
       "      <td>10007.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1543.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16199.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1880.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>subprocess</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>6201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>356.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>388.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tensorflow</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11852.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tkinter</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17071.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>232.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>web-scraping</th>\n",
       "      <td>218.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>1946.0</td>\n",
       "      <td>1414.0</td>\n",
       "      <td>1123.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7697.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>windows</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1304.0</td>\n",
       "      <td>3007.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8657.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1094.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>xml</th>\n",
       "      <td>3830.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5442.0</td>\n",
       "      <td>7086.0</td>\n",
       "      <td>16158.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3358.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7204.0</td>\n",
       "      <td>1681.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2804.0</td>\n",
       "      <td>18351.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>50 rows × 50 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     jquery       css      html  javascript       php  \\\n",
       "algorithm               0.0       0.0       0.0      3038.0    1928.0   \n",
       "arrays              11147.0       0.0    4178.0     44269.0   58235.0   \n",
       "beautifulsoup           0.0      98.0    2172.0       217.0       0.0   \n",
       "c++                     0.0       0.0       0.0         0.0       0.0   \n",
       "class                1769.0    1104.0    1104.0      2764.0    6235.0   \n",
       "csv                   599.0       0.0     766.0      2317.0    5761.0   \n",
       "dataframe               0.0       0.0       0.0         0.0       0.0   \n",
       "datetime              869.0       0.0       0.0      3124.0    5927.0   \n",
       "dictionary            386.0       0.0       0.0      1669.0       0.0   \n",
       "django               4460.0    1415.0    4296.0      5459.0       0.0   \n",
       "django-models          58.0       0.0      58.0        58.0       0.0   \n",
       "file                  799.0       0.0    1131.0      1977.0    5883.0   \n",
       "flask                 691.0     200.0    1188.0      1236.0       0.0   \n",
       "function             4880.0       0.0    2132.0     13470.0    8579.0   \n",
       "google-app-engine     277.0       0.0     406.0       746.0    1517.0   \n",
       "html               196909.0  320479.0       0.0    298409.0   94089.0   \n",
       "javascript         500680.0  138127.0  298409.0         0.0  106618.0   \n",
       "json                33545.0       0.0    6970.0     54910.0   33331.0   \n",
       "linux                   0.0       0.0       0.0         0.0    6920.0   \n",
       "list                 1219.0    1105.0    1205.0      1222.0     767.0   \n",
       "loops                2514.0       0.0    1042.0      5963.0    6744.0   \n",
       "machine-learning        0.0       0.0       0.0         0.0       0.0   \n",
       "macos                   0.0       0.0       0.0       919.0    2086.0   \n",
       "matplotlib              0.0       0.0       0.0         0.0       0.0   \n",
       "multithreading          0.0       0.0       0.0         0.0     755.0   \n",
       "mysql               10263.0       0.0   14695.0     12840.0  209689.0   \n",
       "numpy                   0.0       0.0       0.0         0.0       0.0   \n",
       "opencv                  0.0       0.0       0.0         0.0       0.0   \n",
       "pandas                  0.0       0.0       0.0         0.0       0.0   \n",
       "pip                     0.0       0.0       0.0         0.0       0.0   \n",
       "pygame                  0.0       0.0       0.0         0.0       0.0   \n",
       "pyqt                    0.0       0.0       0.0         0.0       0.0   \n",
       "python                  0.0       0.0   11214.0      8940.0       0.0   \n",
       "python-2.7              0.0       0.0     590.0         0.0       0.0   \n",
       "python-3.x              0.0       0.0     624.0         0.0       0.0   \n",
       "python-requests         0.0       0.0     209.0        86.0      42.0   \n",
       "regex                5034.0       0.0    5027.0     26714.0   26740.0   \n",
       "scikit-learn            0.0       0.0       0.0         0.0       0.0   \n",
       "scipy                   0.0       0.0       0.0         0.0       0.0   \n",
       "scrapy                  0.0      74.0     315.0       179.0       0.0   \n",
       "selenium              558.0     701.0    1783.0      4017.0     632.0   \n",
       "sockets                 0.0       0.0       0.0      1999.0    2084.0   \n",
       "sqlalchemy              0.0       0.0       0.0         0.0       0.0   \n",
       "string               1659.0       0.0    1672.0      7418.0   10007.0   \n",
       "subprocess              0.0       0.0       0.0         0.0       0.0   \n",
       "tensorflow              0.0       0.0       0.0         0.0       0.0   \n",
       "tkinter                 0.0       0.0       0.0         0.0       0.0   \n",
       "web-scraping          218.0     151.0    1946.0      1414.0    1123.0   \n",
       "windows                 0.0       0.0       0.0      1304.0    3007.0   \n",
       "xml                  3830.0       0.0    5442.0      7086.0   16158.0   \n",
       "\n",
       "                   angularjs       sql   django   python     ajax    ...     \\\n",
       "algorithm                0.0       0.0      0.0   6488.0      0.0    ...      \n",
       "arrays                3431.0    1970.0      0.0  15563.0      0.0    ...      \n",
       "beautifulsoup            0.0       0.0    123.0  10477.0      0.0    ...      \n",
       "c++                      0.0       0.0      0.0   6668.0      0.0    ...      \n",
       "class                    0.0       0.0      0.0   7689.0      0.0    ...      \n",
       "csv                      0.0    1494.0    432.0  15832.0      0.0    ...      \n",
       "dataframe                0.0       0.0      0.0  14821.0      0.0    ...      \n",
       "datetime               303.0    3428.0    808.0   6612.0      0.0    ...      \n",
       "dictionary               0.0       0.0    460.0  21991.0      0.0    ...      \n",
       "django                1113.0    1704.0      0.0  86864.0   3209.0    ...      \n",
       "django-models            0.0     302.0  18578.0   8031.0      0.0    ...      \n",
       "file                     0.0       0.0      0.0   6727.0      0.0    ...      \n",
       "flask                  242.0       0.0    151.0  17262.0    566.0    ...      \n",
       "function                 0.0    1447.0      0.0   7919.0    517.0    ...      \n",
       "google-app-engine        0.0       0.0   1423.0  11405.0      0.0    ...      \n",
       "html                 19376.0    3379.0   4296.0  11214.0  17053.0    ...      \n",
       "javascript          114721.0       0.0      0.0      0.0  84942.0    ...      \n",
       "json                  9228.0    1650.0   2436.0  13432.0  16111.0    ...      \n",
       "linux                    0.0       0.0      0.0  10106.0      0.0    ...      \n",
       "list                     0.0       0.0      0.0  30503.0      0.0    ...      \n",
       "loops                    0.0     860.0      0.0   7321.0      0.0    ...      \n",
       "machine-learning         0.0       0.0      0.0   7715.0      0.0    ...      \n",
       "macos                    0.0       0.0      0.0   6766.0      0.0    ...      \n",
       "matplotlib               0.0       0.0      0.0  25829.0      0.0    ...      \n",
       "multithreading           0.0       0.0      0.0   9326.0      0.0    ...      \n",
       "mysql                    0.0  100893.0   3874.0  10657.0   6968.0    ...      \n",
       "numpy                    0.0       0.0      0.0  42574.0      0.0    ...      \n",
       "opencv                   0.0       0.0      0.0   9145.0      0.0    ...      \n",
       "pandas                   0.0     386.0      0.0  59204.0      0.0    ...      \n",
       "pip                      0.0       0.0    621.0   6986.0      0.0    ...      \n",
       "pygame                   0.0       0.0      0.0   7354.0      0.0    ...      \n",
       "pyqt                     0.0       0.0      0.0   7860.0      0.0    ...      \n",
       "python                   0.0       0.0  86864.0      0.0      0.0    ...      \n",
       "python-2.7               0.0       0.0   3659.0  53225.0      0.0    ...      \n",
       "python-3.x               0.0       0.0   3657.0  62823.0      0.0    ...      \n",
       "python-requests          0.0       0.0    217.0   6001.0      0.0    ...      \n",
       "regex                    0.0    2041.0      0.0  20116.0      0.0    ...      \n",
       "scikit-learn             0.0       0.0      0.0   8101.0      0.0    ...      \n",
       "scipy                    0.0       0.0      0.0   9971.0      0.0    ...      \n",
       "scrapy                   0.0       0.0    170.0   7013.0     77.0    ...      \n",
       "selenium               679.0       0.0      0.0  10588.0      0.0    ...      \n",
       "sockets                  0.0       0.0      0.0   6237.0      0.0    ...      \n",
       "sqlalchemy               0.0     978.0    124.0   9065.0      0.0    ...      \n",
       "string                   0.0    1543.0      0.0  16199.0      0.0    ...      \n",
       "subprocess               0.0       0.0    116.0   6201.0      0.0    ...      \n",
       "tensorflow               0.0       0.0      0.0  11852.0      0.0    ...      \n",
       "tkinter                  0.0       0.0      0.0  17071.0      0.0    ...      \n",
       "web-scraping             0.0       0.0      0.0   7697.0    163.0    ...      \n",
       "windows                  0.0       0.0      0.0   8657.0      0.0    ...      \n",
       "xml                      0.0    3358.0      0.0   7204.0   1681.0    ...      \n",
       "\n",
       "                   angular  django-models      dom     xslt  google-maps  \\\n",
       "algorithm              0.0            0.0      0.0      0.0          0.0   \n",
       "arrays                 0.0            0.0      0.0      0.0          0.0   \n",
       "beautifulsoup          0.0            0.0      0.0      0.0          0.0   \n",
       "c++                    0.0            0.0      0.0      0.0          0.0   \n",
       "class                  0.0            0.0      0.0      0.0          0.0   \n",
       "csv                    0.0            0.0      0.0      0.0          0.0   \n",
       "dataframe              0.0            0.0      0.0      0.0          0.0   \n",
       "datetime               0.0            0.0      0.0      0.0          0.0   \n",
       "dictionary             0.0            0.0      0.0      0.0        510.0   \n",
       "django                 0.0        18578.0      0.0      0.0          0.0   \n",
       "django-models          0.0            0.0      0.0      0.0          0.0   \n",
       "file                   0.0            0.0      0.0      0.0          0.0   \n",
       "flask                  0.0            0.0      0.0      0.0          0.0   \n",
       "function               0.0            0.0      0.0      0.0          0.0   \n",
       "google-app-engine      0.0            0.0      0.0      0.0          0.0   \n",
       "html                4332.0            0.0   9023.0      0.0          0.0   \n",
       "javascript         18613.0            0.0  18375.0      0.0      18111.0   \n",
       "json                2031.0            0.0      0.0      0.0          0.0   \n",
       "linux                  0.0            0.0      0.0      0.0          0.0   \n",
       "list                   0.0            0.0      0.0      0.0          0.0   \n",
       "loops                  0.0            0.0      0.0      0.0          0.0   \n",
       "machine-learning       0.0            0.0      0.0      0.0          0.0   \n",
       "macos                  0.0            0.0      0.0      0.0          0.0   \n",
       "matplotlib             0.0            0.0      0.0      0.0          0.0   \n",
       "multithreading         0.0            0.0      0.0      0.0          0.0   \n",
       "mysql                  0.0            0.0      0.0      0.0          0.0   \n",
       "numpy                  0.0            0.0      0.0      0.0          0.0   \n",
       "opencv                 0.0            0.0      0.0      0.0          0.0   \n",
       "pandas                 0.0            0.0      0.0      0.0          0.0   \n",
       "pip                    0.0            0.0      0.0      0.0          0.0   \n",
       "pygame                 0.0            0.0      0.0      0.0          0.0   \n",
       "pyqt                   0.0            0.0      0.0      0.0          0.0   \n",
       "python                 0.0         8031.0      0.0      0.0          0.0   \n",
       "python-2.7             0.0          548.0      0.0      0.0          0.0   \n",
       "python-3.x             0.0          570.0      0.0      0.0          0.0   \n",
       "python-requests        0.0            0.0      0.0      0.0          0.0   \n",
       "regex                  0.0            0.0      0.0      0.0          0.0   \n",
       "scikit-learn           0.0            0.0      0.0      0.0          0.0   \n",
       "scipy                  0.0            0.0      0.0      0.0          0.0   \n",
       "scrapy                 0.0            0.0      0.0      0.0          0.0   \n",
       "selenium               0.0            0.0      0.0      0.0          0.0   \n",
       "sockets                0.0            0.0      0.0      0.0          0.0   \n",
       "sqlalchemy             0.0            0.0      0.0      0.0          0.0   \n",
       "string                 0.0            0.0      0.0      0.0          0.0   \n",
       "subprocess             0.0            0.0      0.0      0.0          0.0   \n",
       "tensorflow             0.0            0.0      0.0      0.0          0.0   \n",
       "tkinter                0.0            0.0      0.0      0.0          0.0   \n",
       "web-scraping           0.0            0.0    163.0      0.0          0.0   \n",
       "windows                0.0            0.0      0.0      0.0          0.0   \n",
       "xml                    0.0            0.0   2804.0  18351.0          0.0   \n",
       "\n",
       "                   windows    flask    shell  tkinter  pointers  \n",
       "algorithm              0.0      0.0      0.0      0.0       0.0  \n",
       "arrays                 0.0      0.0      0.0      0.0    7510.0  \n",
       "beautifulsoup          0.0      0.0      0.0      0.0       0.0  \n",
       "c++                17264.0      0.0      0.0      0.0   16916.0  \n",
       "class                  0.0      0.0      0.0      0.0     949.0  \n",
       "csv                    0.0      0.0    478.0      0.0       0.0  \n",
       "dataframe              0.0      0.0      0.0      0.0       0.0  \n",
       "datetime               0.0      0.0      0.0      0.0       0.0  \n",
       "dictionary             0.0      0.0      0.0      0.0       0.0  \n",
       "django                 0.0      0.0      0.0      0.0       0.0  \n",
       "django-models          0.0      0.0      0.0      0.0       0.0  \n",
       "file                1371.0      0.0      0.0      0.0       0.0  \n",
       "flask                  0.0      0.0      0.0      0.0       0.0  \n",
       "function               0.0      0.0      0.0      0.0    2046.0  \n",
       "google-app-engine      0.0    289.0      0.0      0.0       0.0  \n",
       "html                   0.0      0.0      0.0      0.0       0.0  \n",
       "javascript             0.0      0.0      0.0      0.0       0.0  \n",
       "json                   0.0      0.0      0.0      0.0       0.0  \n",
       "linux               4318.0      0.0  17105.0      0.0       0.0  \n",
       "list                   0.0      0.0      0.0      0.0       0.0  \n",
       "loops                  0.0      0.0      0.0      0.0       0.0  \n",
       "machine-learning       0.0      0.0      0.0      0.0       0.0  \n",
       "macos               1568.0      0.0   1756.0      0.0       0.0  \n",
       "matplotlib             0.0      0.0      0.0    492.0       0.0  \n",
       "multithreading      1406.0      0.0      0.0      0.0       0.0  \n",
       "mysql                  0.0      0.0      0.0      0.0       0.0  \n",
       "numpy                  0.0      0.0      0.0      0.0       0.0  \n",
       "opencv               413.0      0.0      0.0      0.0       0.0  \n",
       "pandas                 0.0      0.0      0.0      0.0       0.0  \n",
       "pip                  315.0     75.0      0.0      0.0       0.0  \n",
       "pygame                74.0      0.0      0.0     95.0       0.0  \n",
       "pyqt                  83.0      0.0      0.0      0.0       0.0  \n",
       "python              8657.0  17262.0      0.0  17071.0       0.0  \n",
       "python-2.7          1105.0    819.0      0.0   1908.0       0.0  \n",
       "python-3.x          1034.0    835.0      0.0   3663.0       0.0  \n",
       "python-requests        0.0    137.0      0.0      0.0       0.0  \n",
       "regex                  0.0      0.0   1460.0      0.0       0.0  \n",
       "scikit-learn           0.0      0.0      0.0      0.0       0.0  \n",
       "scipy                  0.0      0.0      0.0      0.0       0.0  \n",
       "scrapy                47.0      0.0     41.0      0.0       0.0  \n",
       "selenium               0.0      0.0      0.0      0.0       0.0  \n",
       "sockets             1004.0      0.0      0.0      0.0       0.0  \n",
       "sqlalchemy             0.0   1658.0      0.0      0.0       0.0  \n",
       "string                 0.0      0.0      0.0      0.0    1880.0  \n",
       "subprocess           356.0      0.0    388.0     64.0       0.0  \n",
       "tensorflow           177.0      0.0      0.0      0.0       0.0  \n",
       "tkinter              232.0      0.0      0.0      0.0       0.0  \n",
       "web-scraping           0.0      0.0      0.0      0.0       0.0  \n",
       "windows                0.0      0.0   1094.0      0.0       0.0  \n",
       "xml                    0.0      0.0      0.0      0.0       0.0  \n",
       "\n",
       "[50 rows x 50 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "topdf.to_pickle('json_dataframe_notebook_07.pickle')"
   ]
  }
 ],
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   "display_name": "Python 3",
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  "language_info": {
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
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