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57 lines
1.6 KiB
57 lines
1.6 KiB
2 years ago
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##### The exercice is validated is all questions of the exercice are validated and if the for loop hasn't been used. The goal is to use `groupby` and `apply`.
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##### The question 1 is validated if the output is:
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```python
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df = pd.DataFrame(range(1,11), columns=['sequence'])
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print(winsorize(df, [0.20, 0.80]).to_markdown())
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```
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| | sequence |
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|---:|-----------:|
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| 0 | 2.8 |
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| 1 | 2.8 |
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| 2 | 3 |
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| 3 | 4 |
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| 4 | 5 |
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| 5 | 6 |
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| 6 | 7 |
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| 7 | 8 |
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| 8 | 8.2 |
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| 9 | 8.2 |
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##### The question 2 is validated if the output is a Pandas Series or DataFrame with the first 11 rows equal to the output below. The code below give a solution.
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| | sequence |
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|---:|-----------:|
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| 0 | 1.45 |
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| 1 | 2 |
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| 2 | 3 |
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| 3 | 4 |
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| 4 | 5 |
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| 5 | 6 |
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| 6 | 7 |
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| 7 | 8 |
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| 8 | 9 |
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| 9 | 9.55 |
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| 10 | 11.45 |
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```python
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def winsorize(df_series, quantiles):
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"""
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df: pd.DataFrame or pd.Series
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quantiles: list [0.05, 0.95]
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"""
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min_value = np.quantile(df_series, quantiles[0])
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max_value = np.quantile(df_series, quantiles[1])
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return df_series.clip(lower = min_value, upper = max_value)
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df.groupby("group")[['sequence']].apply(winsorize, [0.05,0.95])
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```
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- https://towardsdatascience.com/how-to-use-the-split-apply-combine-strategy-in-pandas-groupby-29e0eb44b62e
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