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[FIX] Electricity dataset on tutorials (#554)
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@elephaint
elephaint authored Dec 4, 2024
1 parent 463371e commit c8e0c19
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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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