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Pandas has a script for validating docstrings:
Lines 72 to 194 in 9008ee5
MSG='Partially validate docstrings (PR02)' ; echo $MSG | |
$BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=PR02 --ignore_functions \ | |
pandas.io.formats.style.Styler.to_excel\ | |
pandas.CategoricalIndex.rename_categories\ | |
pandas.CategoricalIndex.reorder_categories\ | |
pandas.CategoricalIndex.add_categories\ | |
pandas.CategoricalIndex.remove_categories\ | |
pandas.CategoricalIndex.set_categories\ | |
pandas.IntervalIndex.set_closed\ | |
pandas.IntervalIndex.contains\ | |
pandas.IntervalIndex.overlaps\ | |
pandas.IntervalIndex.to_tuples\ | |
pandas.DatetimeIndex.round\ | |
pandas.DatetimeIndex.floor\ | |
pandas.DatetimeIndex.ceil\ | |
pandas.DatetimeIndex.month_name\ | |
pandas.DatetimeIndex.day_name\ | |
pandas.DatetimeIndex.to_period\ | |
pandas.DatetimeIndex.std\ | |
pandas.TimedeltaIndex.round\ | |
pandas.TimedeltaIndex.floor\ | |
pandas.TimedeltaIndex.ceil\ | |
pandas.PeriodIndex\ | |
pandas.PeriodIndex.strftime\ | |
pandas.Series.clip\ | |
pandas.Series.rename_axis\ | |
pandas.Series.interpolate\ | |
pandas.Series.dt.to_period\ | |
pandas.Series.dt.tz_localize\ | |
pandas.Series.dt.tz_convert\ | |
pandas.Series.dt.strftime\ | |
pandas.Series.dt.round\ | |
pandas.Series.dt.floor\ | |
pandas.Series.dt.ceil\ | |
pandas.Series.dt.month_name\ | |
pandas.Series.dt.day_name\ | |
pandas.Series.str.wrap\ | |
pandas.Series.cat.rename_categories\ | |
pandas.Series.cat.reorder_categories\ | |
pandas.Series.cat.add_categories\ | |
pandas.Series.cat.remove_categories\ | |
pandas.Series.cat.set_categories\ | |
pandas.Series.plot\ | |
pandas.Series.plot.bar\ | |
pandas.Series.plot.barh\ | |
pandas.Series.plot.line\ | |
pandas.Series.plot.pie\ | |
pandas.DataFrame.clip\ | |
pandas.DataFrame.plot\ | |
pandas.DataFrame.plot.bar\ | |
pandas.DataFrame.plot.barh\ | |
pandas.DataFrame.plot.line\ | |
pandas.DataFrame.plot.pie\ | |
pandas.tseries.offsets.DateOffset\ | |
pandas.tseries.offsets.BusinessDay\ | |
pandas.tseries.offsets.BDay\ | |
pandas.tseries.offsets.BusinessHour\ | |
pandas.tseries.offsets.CustomBusinessDay\ | |
pandas.tseries.offsets.CDay\ | |
pandas.tseries.offsets.CustomBusinessHour\ | |
pandas.tseries.offsets.MonthEnd\ | |
pandas.tseries.offsets.MonthBegin\ | |
pandas.tseries.offsets.BusinessMonthEnd\ | |
pandas.tseries.offsets.BMonthEnd\ | |
pandas.tseries.offsets.BusinessMonthBegin\ | |
pandas.tseries.offsets.BMonthBegin\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd\ | |
pandas.tseries.offsets.CBMonthEnd\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin\ | |
pandas.tseries.offsets.CBMonthBegin\ | |
pandas.tseries.offsets.SemiMonthEnd\ | |
pandas.tseries.offsets.SemiMonthBegin\ | |
pandas.tseries.offsets.Week\ | |
pandas.tseries.offsets.WeekOfMonth\ | |
pandas.tseries.offsets.LastWeekOfMonth\ | |
pandas.tseries.offsets.BQuarterEnd\ | |
pandas.tseries.offsets.BQuarterBegin\ | |
pandas.tseries.offsets.QuarterEnd\ | |
pandas.tseries.offsets.QuarterBegin\ | |
pandas.tseries.offsets.BYearEnd\ | |
pandas.tseries.offsets.BYearBegin\ | |
pandas.tseries.offsets.YearEnd\ | |
pandas.tseries.offsets.YearBegin\ | |
pandas.tseries.offsets.FY5253\ | |
pandas.tseries.offsets.FY5253Quarter\ | |
pandas.tseries.offsets.Easter\ | |
pandas.tseries.offsets.Day\ | |
pandas.tseries.offsets.Hour\ | |
pandas.tseries.offsets.Minute\ | |
pandas.tseries.offsets.Second\ | |
pandas.tseries.offsets.Milli\ | |
pandas.tseries.offsets.Micro\ | |
pandas.tseries.offsets.Nano\ | |
pandas.describe_option\ | |
pandas.reset_option\ | |
pandas.get_option\ | |
pandas.set_option\ | |
pandas.Timestamp.max\ | |
pandas.Timestamp.min\ | |
pandas.Timestamp.resolution\ | |
pandas.Timedelta.max\ | |
pandas.Timedelta.min\ | |
pandas.Timedelta.resolution\ | |
pandas.Interval\ | |
pandas.Grouper\ | |
pandas.core.groupby.SeriesGroupBy.apply\ | |
pandas.core.groupby.SeriesGroupBy.transform\ | |
pandas.core.groupby.DataFrameGroupBy.transform\ | |
pandas.core.groupby.DataFrameGroupBy.nth\ | |
pandas.core.groupby.DataFrameGroupBy.rolling\ | |
pandas.core.groupby.SeriesGroupBy.idxmax\ | |
pandas.core.groupby.SeriesGroupBy.idxmin\ | |
pandas.core.groupby.SeriesGroupBy.nth\ | |
pandas.core.groupby.SeriesGroupBy.rolling\ | |
pandas.core.groupby.DataFrameGroupBy.hist\ | |
pandas.core.groupby.DataFrameGroupBy.plot\ | |
pandas.core.groupby.SeriesGroupBy.plot\ | |
pandas.read_hdf\ | |
pandas.HDFStore.append\ | |
pandas.core.window.rolling.Rolling.quantile\ | |
pandas.core.window.expanding.Expanding.quantile\ | |
pandas.api.extensions.ExtensionArray.argsort # There should be no backslash in the final line, please keep this comment in the last ignored function | |
RET=$(($RET + $?)) ; echo $MSG "DONE" |
Currently, some methods fail the PR02 check.
The task here is:
- take 2-4 methods
- run: scripts/validate_docstrings.py --format=actions --errors=PR02
method-name
- check if validation docstrings passes for those methods, and if it’s necessary fix the docstrings according to whatever error is reported
- remove those methods from code_checks.sh
- commit, push, open pull request
Please don't comment take
as multiple people can work on this issue. You also don't need to ask for permission to work on this, just comment on which methods are you going to work.
If you're new contributor, please check the contributing guide
thanks @natmokval @mroeschke for the inspiration for this issue