Implement IsWorkingHours and IsLunchTime #2130
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Should I include holiday checking for IsLunchTime? |
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Coverage 99.23% 99.24%
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Files 143 143
Lines 17196 17245 +49
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+ Hits 17065 17114 +49
Misses 131 131
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@sbadithe I would make |
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@gsheni Would it make sense to include a |
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@sbadithe yes |
Merge branch 'workday-primitives' of https://github.com/alteryx/featuretools into workday-primitives
Merge branch 'workday-primitives' of https://github.com/alteryx/featuretools into workday-primitives
| Examples: | ||
| >>> from datetime import datetime | ||
| >>> dates = [datetime(2022, 6, 21, 16, 3, 3), | ||
| ... datetime(2019,1,3,4,4,4), |
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fix formatting here to include white space
| ilt = IsLunchTime(include_weekends=False, include_holidays=True) | ||
| dates = pd.Series( | ||
| [ | ||
| datetime(2022, 6, 26, 12, 12, 12), |
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can you include a comment that is something like Wed, Jun 26 2022 - (Holiday Name) next to each of these examples everywhere
| iwh = IsWorkingHours(15, 18) | ||
| dates = pd.Series( | ||
| [ | ||
| datetime(2022, 6, 21, 16, 3, 3), # Weekday date |
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Include case outside working hours but on a weekday
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Changes:
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featuretools/primitives/standard/datetime_transform_primitives.py
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featuretools/primitives/standard/datetime_transform_primitives.py
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gsheni
requested review from
dvreed77 and
thehomebrewnerd
and removed request for
dvreed77
| datetime(2022, 6, 21, 16, 3, 3), | ||
| datetime(2019, 1, 3, 4, 4, 4), | ||
| datetime(2022, 1, 1, 12, 1, 2), | ||
| ] |
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One last item - we should add a nan value here like we do in IsLunchHour just to confirm this primitive doesn't have issues with missing values.
Adds the following datetime transform primitives:
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IsWorkingHour: Checks if hour is between configurable start and end times--
IsLunchTime: Checks if hour is equal to configurable lunch time hourFixes #2076
Fixes #2078