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[FIX] Electricity dataset on tutorials #554

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merged 5 commits into from
Dec 4, 2024
+654 −646
Merged

[FIX] Electricity dataset on tutorials #554

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2a83a71
fix_pricing_links
elephaint Nov 22, 2024
3976693
fix_shap_tutorial
elephaint Dec 4, 2024
96ddbbb
Merge branch 'main' into fix/shap_example
elephaint Dec 4, 2024
e3a72a8
fix_other_notebooks_with_electricity_dataset
elephaint Dec 4, 2024
09d6ee5
clean_exogenous_cap_nb
elephaint Dec 4, 2024
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9 changes: 5 additions & 4 deletions nbs/docs/capabilities/anomaly-detection/02_anomaly_exogenous.ipynb
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168 changes: 86 additions & 82 deletions nbs/docs/getting-started/4_data_requirements.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -187,8 +187,10 @@
"output_type": "stream",
"text": [
"INFO:nixtla.nixtla_client:Validating inputs...\n",
"INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
"INFO:nixtla.nixtla_client:Inferred freq: MS\n",
"INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
"INFO:nixtla.nixtla_client:Querying model metadata...\n",
"INFO:nixtla.nixtla_client:Restricting input...\n",
"INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
]
},
Expand Down Expand Up @@ -221,39 +223,39 @@
" <tr>\n",
" <th>0</th>\n",
" <td>1961-01-01</td>\n",
" <td>437.837921</td>\n",
" <td>437.83792</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1961-02-01</td>\n",
" <td>426.062714</td>\n",
" <td>426.06270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1961-03-01</td>\n",
" <td>463.116547</td>\n",
" <td>463.11655</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1961-04-01</td>\n",
" <td>478.244507</td>\n",
" <td>478.24450</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1961-05-01</td>\n",
" <td>505.646484</td>\n",
" <td>505.64648</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" timestamp TimeGPT\n",
"0 1961-01-01 437.837921\n",
"1 1961-02-01 426.062714\n",
"2 1961-03-01 463.116547\n",
"3 1961-04-01 478.244507\n",
"4 1961-05-01 505.646484"
" timestamp TimeGPT\n",
"0 1961-01-01 437.83792\n",
"1 1961-02-01 426.06270\n",
"2 1961-03-01 463.11655\n",
"3 1961-04-01 478.24450\n",
"4 1961-05-01 505.64648"
]
},
"execution_count": null,
Expand Down Expand Up @@ -387,8 +389,10 @@
"output_type": "stream",
"text": [
"INFO:nixtla.nixtla_client:Validating inputs...\n",
"INFO:nixtla.nixtla_client:Inferred freq: h\n",
"INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
"INFO:nixtla.nixtla_client:Inferred freq: H\n",
"INFO:nixtla.nixtla_client:Querying model metadata...\n",
"INFO:nixtla.nixtla_client:Restricting input...\n",
"INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
]
},
Expand Down Expand Up @@ -423,43 +427,43 @@
" <th>0</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 00:00:00</td>\n",
" <td>45.190453</td>\n",
" <td>45.191200</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 01:00:00</td>\n",
" <td>43.244446</td>\n",
" <td>43.245210</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 02:00:00</td>\n",
" <td>41.958389</td>\n",
" <td>41.959000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 03:00:00</td>\n",
" <td>39.796486</td>\n",
" <td>39.797043</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 04:00:00</td>\n",
" <td>39.204536</td>\n",
" <td>39.205093</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" unique_id ds TimeGPT\n",
"0 BE 2016-12-31 00:00:00 45.190453\n",
"1 BE 2016-12-31 01:00:00 43.244446\n",
"2 BE 2016-12-31 02:00:00 41.958389\n",
"3 BE 2016-12-31 03:00:00 39.796486\n",
"4 BE 2016-12-31 04:00:00 39.204536"
" unique_id ds TimeGPT\n",
"0 BE 2016-12-31 00:00:00 45.191200\n",
"1 BE 2016-12-31 01:00:00 43.245210\n",
"2 BE 2016-12-31 02:00:00 41.959000\n",
"3 BE 2016-12-31 03:00:00 39.797043\n",
"4 BE 2016-12-31 04:00:00 39.205093"
]
},
"execution_count": null,
Expand Down Expand Up @@ -537,96 +541,96 @@
" <tr>\n",
" <th>0</th>\n",
" <td>BE</td>\n",
" <td>2016-10-22 00:00:00</td>\n",
" <td>70.00</td>\n",
" <td>49593.0</td>\n",
" <td>57253.0</td>\n",
" <td>2011-01-09 00:00:00</td>\n",
" <td>32.54</td>\n",
" <td>63000.0</td>\n",
" <td>63065.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>BE</td>\n",
" <td>2016-10-22 01:00:00</td>\n",
" <td>37.10</td>\n",
" <td>46073.0</td>\n",
" <td>51887.0</td>\n",
" <td>2011-01-09 01:00:00</td>\n",
" <td>21.55</td>\n",
" <td>58800.0</td>\n",
" <td>62715.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>BE</td>\n",
" <td>2016-10-22 02:00:00</td>\n",
" <td>37.10</td>\n",
" <td>44927.0</td>\n",
" <td>51896.0</td>\n",
" <td>2011-01-09 02:00:00</td>\n",
" <td>15.71</td>\n",
" <td>58500.0</td>\n",
" <td>61952.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>BE</td>\n",
" <td>2016-10-22 03:00:00</td>\n",
" <td>44.75</td>\n",
" <td>44483.0</td>\n",
" <td>48428.0</td>\n",
" <td>2011-01-09 03:00:00</td>\n",
" <td>10.58</td>\n",
" <td>54300.0</td>\n",
" <td>59262.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>BE</td>\n",
" <td>2016-10-22 04:00:00</td>\n",
" <td>37.10</td>\n",
" <td>44338.0</td>\n",
" <td>46721.0</td>\n",
" <td>2011-01-09 04:00:00</td>\n",
" <td>10.32</td>\n",
" <td>51900.0</td>\n",
" <td>56883.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" unique_id ds y Exogenous1 Exogenous2 day_0 day_1 \\\n",
"0 BE 2016-10-22 00:00:00 70.00 49593.0 57253.0 0.0 0.0 \n",
"1 BE 2016-10-22 01:00:00 37.10 46073.0 51887.0 0.0 0.0 \n",
"2 BE 2016-10-22 02:00:00 37.10 44927.0 51896.0 0.0 0.0 \n",
"3 BE 2016-10-22 03:00:00 44.75 44483.0 48428.0 0.0 0.0 \n",
"4 BE 2016-10-22 04:00:00 37.10 44338.0 46721.0 0.0 0.0 \n",
"0 BE 2011-01-09 00:00:00 32.54 63000.0 63065.0 0.0 0.0 \n",
"1 BE 2011-01-09 01:00:00 21.55 58800.0 62715.0 0.0 0.0 \n",
"2 BE 2011-01-09 02:00:00 15.71 58500.0 61952.0 0.0 0.0 \n",
"3 BE 2011-01-09 03:00:00 10.58 54300.0 59262.0 0.0 0.0 \n",
"4 BE 2011-01-09 04:00:00 10.32 51900.0 56883.0 0.0 0.0 \n",
"\n",
" day_2 day_3 day_4 day_5 day_6 \n",
"0 0.0 0.0 0.0 1.0 0.0 \n",
"1 0.0 0.0 0.0 1.0 0.0 \n",
"2 0.0 0.0 0.0 1.0 0.0 \n",
"3 0.0 0.0 0.0 1.0 0.0 \n",
"4 0.0 0.0 0.0 1.0 0.0 "
"0 0.0 0.0 0.0 0.0 1.0 \n",
"1 0.0 0.0 0.0 0.0 1.0 \n",
"2 0.0 0.0 0.0 0.0 1.0 \n",
"3 0.0 0.0 0.0 0.0 1.0 \n",
"4 0.0 0.0 0.0 0.0 1.0 "
]
},
"execution_count": null,
Expand Down Expand Up @@ -690,8 +694,8 @@
" <th>0</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 00:00:00</td>\n",
" <td>64108.0</td>\n",
" <td>70318.0</td>\n",
" <td>64108.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
Expand All @@ -704,8 +708,8 @@
" <th>1</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 01:00:00</td>\n",
" <td>62492.0</td>\n",
" <td>67898.0</td>\n",
" <td>62492.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
Expand All @@ -718,8 +722,8 @@
" <th>2</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 02:00:00</td>\n",
" <td>61571.0</td>\n",
" <td>68379.0</td>\n",
" <td>61571.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
Expand All @@ -732,8 +736,8 @@
" <th>3</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 03:00:00</td>\n",
" <td>60381.0</td>\n",
" <td>64972.0</td>\n",
" <td>60381.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
Expand All @@ -746,8 +750,8 @@
" <th>4</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 04:00:00</td>\n",
" <td>60298.0</td>\n",
" <td>62900.0</td>\n",
" <td>60298.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
Expand All @@ -762,11 +766,11 @@
],
"text/plain": [
" unique_id ds Exogenous1 Exogenous2 day_0 day_1 day_2 \\\n",
"0 BE 2016-12-31 00:00:00 64108.0 70318.0 0.0 0.0 0.0 \n",
"1 BE 2016-12-31 01:00:00 62492.0 67898.0 0.0 0.0 0.0 \n",
"2 BE 2016-12-31 02:00:00 61571.0 68379.0 0.0 0.0 0.0 \n",
"3 BE 2016-12-31 03:00:00 60381.0 64972.0 0.0 0.0 0.0 \n",
"4 BE 2016-12-31 04:00:00 60298.0 62900.0 0.0 0.0 0.0 \n",
"0 BE 2016-12-31 00:00:00 70318.0 64108.0 0.0 0.0 0.0 \n",
"1 BE 2016-12-31 01:00:00 67898.0 62492.0 0.0 0.0 0.0 \n",
"2 BE 2016-12-31 02:00:00 68379.0 61571.0 0.0 0.0 0.0 \n",
"3 BE 2016-12-31 03:00:00 64972.0 60381.0 0.0 0.0 0.0 \n",
"4 BE 2016-12-31 04:00:00 62900.0 60298.0 0.0 0.0 0.0 \n",
"\n",
" day_3 day_4 day_5 day_6 \n",
"0 0.0 0.0 1.0 0.0 \n",
Expand Down Expand Up @@ -796,9 +800,9 @@
"output_type": "stream",
"text": [
"INFO:nixtla.nixtla_client:Validating inputs...\n",
"INFO:nixtla.nixtla_client:Inferred freq: h\n",
"INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
"INFO:nixtla.nixtla_client:Inferred freq: H\n",
"INFO:nixtla.nixtla_client:Using the following exogenous variables: Exogenous1, Exogenous2, day_0, day_1, day_2, day_3, day_4, day_5, day_6\n",
"INFO:nixtla.nixtla_client:Using future exogenous features: ['Exogenous1', 'Exogenous2', 'day_0', 'day_1', 'day_2', 'day_3', 'day_4', 'day_5', 'day_6']\n",
"INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
]
},
Expand Down Expand Up @@ -833,43 +837,43 @@
" <th>0</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 00:00:00</td>\n",
" <td>74.540773</td>\n",
" <td>46.036015</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 01:00:00</td>\n",
" <td>43.344289</td>\n",
" <td>39.670720</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 02:00:00</td>\n",
" <td>44.429220</td>\n",
" <td>42.782120</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 03:00:00</td>\n",
" <td>38.094395</td>\n",
" <td>33.456580</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>BE</td>\n",
" <td>2016-12-31 04:00:00</td>\n",
" <td>37.389141</td>\n",
" <td>33.013958</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" unique_id ds TimeGPT\n",
"0 BE 2016-12-31 00:00:00 74.540773\n",
"1 BE 2016-12-31 01:00:00 43.344289\n",
"2 BE 2016-12-31 02:00:00 44.429220\n",
"3 BE 2016-12-31 03:00:00 38.094395\n",
"4 BE 2016-12-31 04:00:00 37.389141"
" unique_id ds TimeGPT\n",
"0 BE 2016-12-31 00:00:00 46.036015\n",
"1 BE 2016-12-31 01:00:00 39.670720\n",
"2 BE 2016-12-31 02:00:00 42.782120\n",
"3 BE 2016-12-31 03:00:00 33.456580\n",
"4 BE 2016-12-31 04:00:00 33.013958"
]
},
"execution_count": null,
Expand Down
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