Add duplicate_data
#305
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Add duplicate_data
#305
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@@ Coverage Diff @@
## master #305 +/- ##
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+ Coverage 87.70% 87.76% +0.06%
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Files 96 97 +1
Lines 4742 4766 +24
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+ Hits 4159 4183 +24
Misses 583 583
Continue to review full report at Codecov.
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# Conflicts: # CHANGELOG.md
iKintosh
previously approved these changes
Nov 24, 2021
etna/datasets/utils.py
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| long = "long" | ||
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| def duplicate_data(df: pd.DataFrame, segments: Sequence[str], format: str = DataFrameFormat.long) -> pd.DataFrame: |
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I would choose wide format by default, because it is etna format. But it's is just my opinion.
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| Examples | ||
| -------- | ||
| >>> from etna.datasets import generate_const_df | ||
| >>> from etna.datasets import duplicate_data | ||
| >>> from etna.datasets import TSDataset | ||
| >>> df = generate_const_df( | ||
| ... periods=50, start_time="2020-03-10", | ||
| ... n_segments=2, scale=1 | ||
| ... ) | ||
| >>> timestamp = pd.date_range("2020-03-10", periods=100, freq="D") | ||
| >>> is_friday_13 = (timestamp.weekday == 4) & (timestamp.day == 13) | ||
| >>> df_exog_raw = pd.DataFrame({"timestamp": timestamp, "regressor_is_friday_13": is_friday_13}) | ||
| >>> df_exog = duplicate_data(df_exog_raw, segments=["segment_0", "segment_1"], format="wide") | ||
| >>> df_ts_format = TSDataset.to_dataset(df) | ||
| >>> ts = TSDataset(df=df_ts_format, df_exog=df_exog, freq="D") | ||
| >>> ts.head() | ||
| segment segment_0 segment_1 | ||
| feature regressor_is_friday_13 target regressor_is_friday_13 target | ||
| timestamp | ||
| 2020-03-10 False 1.0 False 1.0 | ||
| 2020-03-11 False 1.0 False 1.0 | ||
| 2020-03-12 False 1.0 False 1.0 | ||
| 2020-03-13 True 1.0 True 1.0 | ||
| 2020-03-14 False 1.0 False 1.0 | ||
| """ |
iKintosh
approved these changes
Nov 24, 2021
Carlosbogo
added a commit
to Carlosbogo/etna
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Nov 27, 2021
commit 381aeb3 Author: Carlosbg <[email protected]> Date: Sat Nov 27 14:23:16 2021 +0100 Changes tests to keep consistency with tinkoff-ai#313 Fixes tinkoff-ai#313 to close tinkoff-ai#290 commit c074d3b Author: Andrey Alekseev <[email protected]> Date: Fri Nov 26 15:28:12 2021 +0300 add acf plot; change eda notebook; (tinkoff-ai#318) * add acf plot; change eda notebook; * add changed to changelog Co-authored-by: an.alekseev <[email protected]> commit 38623dc Author: Mr-Geekman <[email protected]> Date: Thu Nov 25 19:44:42 2021 +0300 Add `duplicate_data` (tinkoff-ai#305) * Add utils file, function , tests for it * Add example for * Update changelog * Correct typos in docstring * Change default value for duplicate_data commit c2070a1 Author: Andrey Alekseev <[email protected]> Date: Thu Nov 25 19:44:17 2021 +0300 add inverse transform as final step in forecast method; also rephrase… (tinkoff-ai#316) * add inverse transform as final step in forecast method; also rephrase _validate_backtest_dataset docstring * add inverse transform as final step in fit method; change test; change example Co-authored-by: an.alekseev <[email protected]> commit e66058f Author: Andrey Alekseev <[email protected]> Date: Wed Nov 24 18:13:03 2021 +0300 Parsing type hints in Sphinx documentation (tinkoff-ai#205) * update sphinx in order to parse type hints; make flake8-docstyle numpydocstyle compatible * update deps commit e814219 Author: Martin Gabdushev <[email protected]> Date: Wed Nov 24 18:10:04 2021 +0300 :bomb: release 1.3.3 (tinkoff-ai#312)
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IMPORTANT: Please do not create a Pull Request without creating an issue first.
Before submitting (must do checklist)
Type of Change
Proposed Changes
Look #291. But format has changed to require only
timestampcolumn.Related Issue
#291.
Closing issues
Closes #291.