Supporting functions to generate features in Pandas Dataframe for Machine Learning
pip install pdfeaturegen
import pdfeaturegen as pdfg
df = pd.read_csv('data/human_daily_pattern.csv')
df.head()
"""
| | time | count |
|---|----------------------------|---------------------|
| 0 | 2018-03-26 12:39:55.481733 | 121.35529262690343 |
| 1 | 2018-03-26 17:17:23.911690 | 0.3647851407453441 |
| 2 | 2018-03-26 09:56:38.268554 | 0.07366381105375536 |
| 3 | 2018-03-26 20:35:51.533865 | 0.28542161371348845 |
| 4 | 2018-03-26 17:22:16.504024 | 13.302750810079269 |
"""
df = pdfg.timestamp_feature_engineering_with_df(df, df.time)
df.head()
"""
| | time | count | time_year | time_month | time_day | time_hour | time_minute | time_second | time_week | time_weekday_name | time_weekofyear | time_quarter | time_is_leap_year | time_is_month_end | time_is_month_start | time_is_quarter_end | time_is_quarter_start | time_is_year_end | time_is_year_start |
|---|----------------------------|---------------------|-----------|------------|----------|-----------|-------------|-------------|-----------|-------------------|-----------------|--------------|-------------------|-------------------|---------------------|---------------------|-----------------------|------------------|--------------------|
| 0 | 2018-03-26 12:39:55.481733 | 121.35529262690343 | 2018 | 3 | 26 | 12 | 39 | 55 | 13 | Monday | 13 | 1 | False | False | False | False | False | False | False |
| 1 | 2018-03-26 17:17:23.911690 | 0.3647851407453441 | 2018 | 3 | 26 | 17 | 17 | 23 | 13 | Monday | 13 | 1 | False | False | False | False | False | False | False |
| 2 | 2018-03-26 09:56:38.268554 | 0.07366381105375536 | 2018 | 3 | 26 | 9 | 56 | 38 | 13 | Monday | 13 | 1 | False | False | False | False | False | False | False |
| 3 | 2018-03-26 20:35:51.533865 | 0.28542161371348845 | 2018 | 3 | 26 | 20 | 35 | 51 | 13 | Monday | 13 | 1 | False | False | False | False | False | False | False |
| 4 | 2018-03-26 17:22:16.504024 | 13.302750810079269 | 2018 | 3 | 26 | 17 | 22 | 16 | 13 | Monday | 13 | 1 | False | False | False | False | False | False | False |
"""- 0.0.1
- Work in progress
Ivan Foong – @vonze21 – [email protected]
Distributed under the MIT license. See LICENSE for more information.
https://github.com/ivanfoong/pdfeaturegen
- Fork it (https://github.com/yourname/yourproject/fork)
- Create your feature branch (
git checkout -b feature/fooBar) - Commit your changes (
git commit -am 'Add some fooBar') - Push to the branch (
git push origin feature/fooBar) - Create a new Pull Request
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