diff options
Diffstat (limited to 'dslr_notebook.ipynb')
| -rw-r--r-- | dslr_notebook.ipynb | 701 |
1 files changed, 422 insertions, 279 deletions
diff --git a/dslr_notebook.ipynb b/dslr_notebook.ipynb index c85b8c6..b226df7 100644 --- a/dslr_notebook.ipynb +++ b/dslr_notebook.ipynb @@ -11,7 +11,36 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Ravenclaw', 'Slytherin', 'Gryffindor', 'Hufflepuff'], dtype=object)" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "df = pd.read_csv(\"./datasets/dataset_train.csv\")\n", + "df.drop(columns=[\"Index\"], inplace=True)\n", + "df.dropna(inplace=True)\n", + "df['Hogwarts House'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -35,12 +64,6 @@ " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", - " <th>Index</th>\n", - " <th>Hogwarts House</th>\n", - " <th>First Name</th>\n", - " <th>Last Name</th>\n", - " <th>Birthday</th>\n", - " <th>Best Hand</th>\n", " <th>Arithmancy</th>\n", " <th>Astronomy</th>\n", " <th>Herbology</th>\n", @@ -59,12 +82,6 @@ " <tbody>\n", " <tr>\n", " <th>0</th>\n", - " <td>0</td>\n", - " <td>Ravenclaw</td>\n", - " <td>Tamara</td>\n", - " <td>Hsu</td>\n", - " <td>2000-03-30</td>\n", - " <td>Left</td>\n", " <td>58384.0</td>\n", " <td>-487.886086</td>\n", " <td>5.727180</td>\n", @@ -80,35 +97,7 @@ " <td>-26.89</td>\n", " </tr>\n", " <tr>\n", - " <th>1</th>\n", - " <td>1</td>\n", - " <td>Slytherin</td>\n", - " <td>Erich</td>\n", - " <td>Paredes</td>\n", - " <td>1999-10-14</td>\n", - " <td>Right</td>\n", - " <td>67239.0</td>\n", - " <td>-552.060507</td>\n", - " <td>-5.987446</td>\n", - " <td>5.520605</td>\n", - " <td>-5.612</td>\n", - " <td>-487.340557</td>\n", - " <td>367.760303</td>\n", - " <td>4.107170</td>\n", - " <td>1058.944592</td>\n", - " <td>7.248742</td>\n", - " <td>0.091674</td>\n", - " <td>-252.18425</td>\n", - " <td>-113.45</td>\n", - " </tr>\n", - " <tr>\n", " <th>2</th>\n", - " <td>2</td>\n", - " <td>Ravenclaw</td>\n", - " <td>Stephany</td>\n", - " <td>Braun</td>\n", - " <td>1999-11-03</td>\n", - " <td>Left</td>\n", " <td>23702.0</td>\n", " <td>-366.076117</td>\n", " <td>7.725017</td>\n", @@ -124,100 +113,97 @@ " <td>30.42</td>\n", " </tr>\n", " <tr>\n", - " <th>3</th>\n", - " <td>3</td>\n", - " <td>Gryffindor</td>\n", - " <td>Vesta</td>\n", - " <td>Mcmichael</td>\n", - " <td>2000-08-19</td>\n", - " <td>Left</td>\n", - " <td>32667.0</td>\n", - " <td>697.742809</td>\n", - " <td>-6.497214</td>\n", - " <td>-6.977428</td>\n", - " <td>4.026</td>\n", - " <td>-537.001128</td>\n", - " <td>523.982133</td>\n", - " <td>-4.809637</td>\n", - " <td>920.391449</td>\n", - " <td>0.821911</td>\n", - " <td>-0.014040</td>\n", - " <td>-256.84675</td>\n", - " <td>200.64</td>\n", + " <th>14</th>\n", + " <td>44791.0</td>\n", + " <td>-197.527318</td>\n", + " <td>2.742444</td>\n", + " <td>1.975273</td>\n", + " <td>6.603</td>\n", + " <td>527.356323</td>\n", + " <td>605.590600</td>\n", + " <td>5.480097</td>\n", + " <td>1063.522361</td>\n", + " <td>9.407484</td>\n", + " <td>-1.112649</td>\n", + " <td>-232.65964</td>\n", + " <td>-19.94</td>\n", + " </tr>\n", + " <tr>\n", + " <th>15</th>\n", + " <td>21630.0</td>\n", + " <td>-447.649812</td>\n", + " <td>4.046727</td>\n", + " <td>4.476498</td>\n", + " <td>4.949</td>\n", + " <td>810.154483</td>\n", + " <td>615.531088</td>\n", + " <td>3.653495</td>\n", + " <td>1075.853850</td>\n", + " <td>9.622899</td>\n", + " <td>0.567096</td>\n", + " <td>-229.38229</td>\n", + " <td>17.00</td>\n", " </tr>\n", " <tr>\n", - " <th>4</th>\n", - " <td>4</td>\n", - " <td>Gryffindor</td>\n", - " <td>Gaston</td>\n", - " <td>Gibbs</td>\n", - " <td>1998-09-27</td>\n", - " <td>Left</td>\n", - " <td>60158.0</td>\n", - " <td>436.775204</td>\n", - " <td>-7.820623</td>\n", - " <td>NaN</td>\n", - " <td>2.236</td>\n", - " <td>-444.262537</td>\n", - " <td>599.324514</td>\n", - " <td>-3.444377</td>\n", - " <td>937.434724</td>\n", - " <td>4.311066</td>\n", - " <td>-0.264070</td>\n", - " <td>-256.38730</td>\n", - " <td>157.98</td>\n", + " <th>18</th>\n", + " <td>15578.0</td>\n", + " <td>-151.088209</td>\n", + " <td>6.871857</td>\n", + " <td>1.510882</td>\n", + " <td>7.906</td>\n", + " <td>645.447451</td>\n", + " <td>607.442729</td>\n", + " <td>6.317446</td>\n", + " <td>1091.054831</td>\n", + " <td>11.708777</td>\n", + " <td>0.260556</td>\n", + " <td>-226.76896</td>\n", + " <td>11.22</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ - " Index Hogwarts House First Name Last Name Birthday Best Hand \\\n", - "0 0 Ravenclaw Tamara Hsu 2000-03-30 Left \n", - "1 1 Slytherin Erich Paredes 1999-10-14 Right \n", - "2 2 Ravenclaw Stephany Braun 1999-11-03 Left \n", - "3 3 Gryffindor Vesta Mcmichael 2000-08-19 Left \n", - "4 4 Gryffindor Gaston Gibbs 1998-09-27 Left \n", + " Arithmancy Astronomy Herbology Defense Against the Dark Arts \\\n", + "0 58384.0 -487.886086 5.727180 4.878861 \n", + "2 23702.0 -366.076117 7.725017 3.660761 \n", + "14 44791.0 -197.527318 2.742444 1.975273 \n", + "15 21630.0 -447.649812 4.046727 4.476498 \n", + "18 15578.0 -151.088209 6.871857 1.510882 \n", "\n", - " Arithmancy Astronomy Herbology Defense Against the Dark Arts \\\n", - "0 58384.0 -487.886086 5.727180 4.878861 \n", - "1 67239.0 -552.060507 -5.987446 5.520605 \n", - "2 23702.0 -366.076117 7.725017 3.660761 \n", - "3 32667.0 697.742809 -6.497214 -6.977428 \n", - "4 60158.0 436.775204 -7.820623 NaN \n", + " Divination Muggle Studies Ancient Runes History of Magic \\\n", + "0 4.722 272.035831 532.484226 5.231058 \n", + "2 6.140 664.893521 602.585284 3.555579 \n", + "14 6.603 527.356323 605.590600 5.480097 \n", + "15 4.949 810.154483 615.531088 3.653495 \n", + "18 7.906 645.447451 607.442729 6.317446 \n", "\n", - " Divination Muggle Studies Ancient Runes History of Magic \\\n", - "0 4.722 272.035831 532.484226 5.231058 \n", - "1 -5.612 -487.340557 367.760303 4.107170 \n", - "2 6.140 664.893521 602.585284 3.555579 \n", - "3 4.026 -537.001128 523.982133 -4.809637 \n", - "4 2.236 -444.262537 599.324514 -3.444377 \n", - "\n", - " Transfiguration Potions Care of Magical Creatures Charms Flying \n", - "0 1039.788281 3.790369 0.715939 -232.79405 -26.89 \n", - "1 1058.944592 7.248742 0.091674 -252.18425 -113.45 \n", - "2 1088.088348 8.728531 -0.515327 -227.34265 30.42 \n", - "3 920.391449 0.821911 -0.014040 -256.84675 200.64 \n", - "4 937.434724 4.311066 -0.264070 -256.38730 157.98 " + " Transfiguration Potions Care of Magical Creatures Charms Flying \n", + "0 1039.788281 3.790369 0.715939 -232.79405 -26.89 \n", + "2 1088.088348 8.728531 -0.515327 -227.34265 30.42 \n", + "14 1063.522361 9.407484 -1.112649 -232.65964 -19.94 \n", + "15 1075.853850 9.622899 0.567096 -229.38229 17.00 \n", + "18 1091.054831 11.708777 0.260556 -226.76896 11.22 " ] }, - "execution_count": 4, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", + "def house_scores_df(house_name):\n", + " house_filt = (df['Hogwarts House'] == house_name)\n", + " return df[house_filt].loc[:, 'Arithmancy':'Flying']\n", "\n", - "df = pd.read_csv(\"./datasets/dataset_train.csv\")\n", - "df.head()" + "houses_df = {key: house_scores_df(key) for key in df['Hogwarts House'].unique()}\n", + "houses_df['Ravenclaw'].head()" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -241,7 +227,6 @@ " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", - " <th>Index</th>\n", " <th>Arithmancy</th>\n", " <th>Astronomy</th>\n", " <th>Herbology</th>\n", @@ -259,198 +244,356 @@ " </thead>\n", " <tbody>\n", " <tr>\n", - " <th>count</th>\n", - " <td>1600.00000</td>\n", - " <td>1566.000000</td>\n", - " <td>1568.000000</td>\n", - " <td>1567.000000</td>\n", - " <td>1569.000000</td>\n", - " <td>1561.000000</td>\n", - " <td>1565.000000</td>\n", - " <td>1565.000000</td>\n", - " <td>1557.000000</td>\n", - " <td>1566.000000</td>\n", - " <td>1570.000000</td>\n", - " <td>1560.000000</td>\n", - " <td>1600.000000</td>\n", - " <td>1600.000000</td>\n", - " </tr>\n", - " <tr>\n", - " <th>mean</th>\n", - " <td>799.50000</td>\n", - " <td>49634.570243</td>\n", - " <td>39.797131</td>\n", - " <td>1.141020</td>\n", - " <td>-0.387863</td>\n", - " <td>3.153910</td>\n", - " <td>-224.589915</td>\n", - " <td>495.747970</td>\n", - " <td>2.963095</td>\n", - " <td>1030.096946</td>\n", - " <td>5.950373</td>\n", - " <td>-0.053427</td>\n", - " <td>-243.374409</td>\n", - " <td>21.958012</td>\n", - " </tr>\n", - " <tr>\n", - " <th>std</th>\n", - " <td>462.02453</td>\n", - " <td>16679.806036</td>\n", - " <td>520.298268</td>\n", - " <td>5.219682</td>\n", - " <td>5.212794</td>\n", - " <td>4.155301</td>\n", - " <td>486.344840</td>\n", - " <td>106.285165</td>\n", - " <td>4.425775</td>\n", - " <td>44.125116</td>\n", - " <td>3.147854</td>\n", - " <td>0.971457</td>\n", - " <td>8.783640</td>\n", - " <td>97.631602</td>\n", - " </tr>\n", - " <tr>\n", - " <th>min</th>\n", - " <td>0.00000</td>\n", - " <td>-24370.000000</td>\n", - " <td>-966.740546</td>\n", - " <td>-10.295663</td>\n", - " <td>-10.162119</td>\n", - " <td>-8.727000</td>\n", - " <td>-1086.496835</td>\n", - " <td>283.869609</td>\n", - " <td>-8.858993</td>\n", - " <td>906.627320</td>\n", - " <td>-4.697484</td>\n", - " <td>-3.313676</td>\n", - " <td>-261.048920</td>\n", - " <td>-181.470000</td>\n", + " <th>0</th>\n", + " <td>0.070306</td>\n", + " <td>-0.005636</td>\n", + " <td>0.043022</td>\n", + " <td>0.005636</td>\n", + " <td>-0.015935</td>\n", + " <td>-0.117316</td>\n", + " <td>-0.163066</td>\n", + " <td>0.019460</td>\n", + " <td>-0.077827</td>\n", + " <td>-0.252914</td>\n", + " <td>0.124483</td>\n", + " <td>-0.056668</td>\n", + " <td>-0.074683</td>\n", " </tr>\n", " <tr>\n", - " <th>25%</th>\n", - " <td>399.75000</td>\n", - " <td>38511.500000</td>\n", - " <td>-489.551387</td>\n", - " <td>-4.308182</td>\n", - " <td>-5.259095</td>\n", - " <td>3.099000</td>\n", - " <td>-577.580096</td>\n", - " <td>397.511047</td>\n", - " <td>2.218653</td>\n", - " <td>1026.209993</td>\n", - " <td>3.646785</td>\n", - " <td>-0.671606</td>\n", - " <td>-250.652600</td>\n", - " <td>-41.870000</td>\n", + " <th>2</th>\n", + " <td>-0.197869</td>\n", + " <td>0.068820</td>\n", + " <td>0.166863</td>\n", + " <td>-0.068820</td>\n", + " <td>0.075970</td>\n", + " <td>0.103740</td>\n", + " <td>0.013395</td>\n", + " <td>-0.092922</td>\n", + " <td>0.281957</td>\n", + " <td>0.135497</td>\n", + " <td>-0.091151</td>\n", + " <td>0.126031</td>\n", + " <td>0.106128</td>\n", " </tr>\n", " <tr>\n", - " <th>50%</th>\n", - " <td>799.50000</td>\n", - " <td>49013.500000</td>\n", - " <td>260.289446</td>\n", - " <td>3.469012</td>\n", - " <td>-2.589342</td>\n", - " <td>4.624000</td>\n", - " <td>-419.164294</td>\n", - " <td>463.918305</td>\n", - " <td>4.378176</td>\n", - " <td>1045.506996</td>\n", - " <td>5.874837</td>\n", - " <td>-0.044811</td>\n", - " <td>-244.867765</td>\n", - " <td>-2.515000</td>\n", + " <th>14</th>\n", + " <td>-0.034800</td>\n", + " <td>0.171845</td>\n", + " <td>-0.141995</td>\n", + " <td>-0.171845</td>\n", + " <td>0.105978</td>\n", + " <td>0.026350</td>\n", + " <td>0.020960</td>\n", + " <td>0.036164</td>\n", + " <td>0.098966</td>\n", + " <td>0.188900</td>\n", + " <td>-0.195761</td>\n", + " <td>-0.052163</td>\n", + " <td>-0.052756</td>\n", " </tr>\n", " <tr>\n", - " <th>75%</th>\n", - " <td>1199.25000</td>\n", - " <td>60811.250000</td>\n", - " <td>524.771949</td>\n", - " <td>5.419183</td>\n", - " <td>4.904680</td>\n", - " <td>5.667000</td>\n", - " <td>254.994857</td>\n", - " <td>597.492230</td>\n", - " <td>5.825242</td>\n", - " <td>1058.436410</td>\n", - " <td>8.248173</td>\n", - " <td>0.589919</td>\n", - " <td>-232.552305</td>\n", - " <td>50.560000</td>\n", + " <th>15</th>\n", + " <td>-0.213890</td>\n", + " <td>0.018958</td>\n", + " <td>-0.061146</td>\n", + " <td>-0.018958</td>\n", + " <td>-0.001222</td>\n", + " <td>0.185477</td>\n", + " <td>0.045982</td>\n", + " <td>-0.086354</td>\n", + " <td>0.190823</td>\n", + " <td>0.205844</td>\n", + " <td>0.098415</td>\n", + " <td>0.057674</td>\n", + " <td>0.063788</td>\n", " </tr>\n", " <tr>\n", - " <th>max</th>\n", - " <td>1599.00000</td>\n", - " <td>104956.000000</td>\n", - " <td>1016.211940</td>\n", - " <td>11.612895</td>\n", - " <td>9.667405</td>\n", - " <td>10.032000</td>\n", - " <td>1092.388611</td>\n", - " <td>745.396220</td>\n", - " <td>11.889713</td>\n", - " <td>1098.958201</td>\n", - " <td>13.536762</td>\n", - " <td>3.056546</td>\n", - " <td>-225.428140</td>\n", - " <td>279.070000</td>\n", + " <th>18</th>\n", + " <td>-0.260687</td>\n", + " <td>0.200230</td>\n", + " <td>0.113977</td>\n", + " <td>-0.200230</td>\n", + " <td>0.190430</td>\n", + " <td>0.092798</td>\n", + " <td>0.025622</td>\n", + " <td>0.092329</td>\n", + " <td>0.304054</td>\n", + " <td>0.369908</td>\n", + " <td>0.044731</td>\n", + " <td>0.145258</td>\n", + " <td>0.045552</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ - " Index Arithmancy Astronomy Herbology \\\n", - "count 1600.00000 1566.000000 1568.000000 1567.000000 \n", - "mean 799.50000 49634.570243 39.797131 1.141020 \n", - "std 462.02453 16679.806036 520.298268 5.219682 \n", - "min 0.00000 -24370.000000 -966.740546 -10.295663 \n", - "25% 399.75000 38511.500000 -489.551387 -4.308182 \n", - "50% 799.50000 49013.500000 260.289446 3.469012 \n", - "75% 1199.25000 60811.250000 524.771949 5.419183 \n", - "max 1599.00000 104956.000000 1016.211940 11.612895 \n", - "\n", - " Defense Against the Dark Arts Divination Muggle Studies \\\n", - "count 1569.000000 1561.000000 1565.000000 \n", - "mean -0.387863 3.153910 -224.589915 \n", - "std 5.212794 4.155301 486.344840 \n", - "min -10.162119 -8.727000 -1086.496835 \n", - "25% -5.259095 3.099000 -577.580096 \n", - "50% -2.589342 4.624000 -419.164294 \n", - "75% 4.904680 5.667000 254.994857 \n", - "max 9.667405 10.032000 1092.388611 \n", + " Arithmancy Astronomy Herbology Defense Against the Dark Arts \\\n", + "0 0.070306 -0.005636 0.043022 0.005636 \n", + "2 -0.197869 0.068820 0.166863 -0.068820 \n", + "14 -0.034800 0.171845 -0.141995 -0.171845 \n", + "15 -0.213890 0.018958 -0.061146 -0.018958 \n", + "18 -0.260687 0.200230 0.113977 -0.200230 \n", "\n", - " Ancient Runes History of Magic Transfiguration Potions \\\n", - "count 1565.000000 1557.000000 1566.000000 1570.000000 \n", - "mean 495.747970 2.963095 1030.096946 5.950373 \n", - "std 106.285165 4.425775 44.125116 3.147854 \n", - "min 283.869609 -8.858993 906.627320 -4.697484 \n", - "25% 397.511047 2.218653 1026.209993 3.646785 \n", - "50% 463.918305 4.378176 1045.506996 5.874837 \n", - "75% 597.492230 5.825242 1058.436410 8.248173 \n", - "max 745.396220 11.889713 1098.958201 13.536762 \n", + " Divination Muggle Studies Ancient Runes History of Magic \\\n", + "0 -0.015935 -0.117316 -0.163066 0.019460 \n", + "2 0.075970 0.103740 0.013395 -0.092922 \n", + "14 0.105978 0.026350 0.020960 0.036164 \n", + "15 -0.001222 0.185477 0.045982 -0.086354 \n", + "18 0.190430 0.092798 0.025622 0.092329 \n", "\n", - " Care of Magical Creatures Charms Flying \n", - "count 1560.000000 1600.000000 1600.000000 \n", - "mean -0.053427 -243.374409 21.958012 \n", - "std 0.971457 8.783640 97.631602 \n", - "min -3.313676 -261.048920 -181.470000 \n", - "25% -0.671606 -250.652600 -41.870000 \n", - "50% -0.044811 -244.867765 -2.515000 \n", - "75% 0.589919 -232.552305 50.560000 \n", - "max 3.056546 -225.428140 279.070000 " + " Transfiguration Potions Care of Magical Creatures Charms Flying \n", + "0 -0.077827 -0.252914 0.124483 -0.056668 -0.074683 \n", + "2 0.281957 0.135497 -0.091151 0.126031 0.106128 \n", + "14 0.098966 0.188900 -0.195761 -0.052163 -0.052756 \n", + "15 0.190823 0.205844 0.098415 0.057674 0.063788 \n", + "18 0.304054 0.369908 0.044731 0.145258 0.045552 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def normalize_house_scores_df(house_scores_df):\n", + " return (house_scores_df - house_scores_df.mean()) / (house_scores_df.max() - house_scores_df.min())\n", + "\n", + "for k, v in houses_df.items():\n", + " houses_df[k] = normalize_house_scores_df(v)\n", + "houses_df['Ravenclaw'].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([-0.65609001, -0.55609001, -0.45609001, -0.35609001, -0.25609001,\n", + " -0.15609001, -0.05609001, 0.04390999, 0.14390999, 0.24390999,\n", + " 0.34390999, 0.44390999, 0.54390999])" ] }, - "execution_count": 5, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df.describe()" + "scores_df = normalize_house_scores_df(df.loc[:, 'Arithmancy':'Flying'])\n", + "\n", + "bins = np.arange(scores_df.min().min(), scores_df.max().max(), 0.1)\n", + "bins" ] }, { "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "houses_scores_series = {k: pd.Series() for k in houses_df.keys()}\n", + "for k, v in houses_df.items():\n", + " for col in houses_df[k]:\n", + " houses_scores_series[k] = houses_scores_series[k].append(houses_df[k][col])\n", + " \n", + "#print(houses_scores_series)\n", + "\n", + "for k, v in houses_scores_series.items():\n", + " plt.hist(v, bins, histtype='bar', rwidth=1, alpha=0.1, label=k)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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