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DOC: Enforce Numpy Docstring Validation (Parent Issue) #58063

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jordan-d-murphy opened this issue Mar 29, 2024 · 7 comments
Open

DOC: Enforce Numpy Docstring Validation (Parent Issue) #58063

jordan-d-murphy opened this issue Mar 29, 2024 · 7 comments
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jordan-d-murphy commented Mar 29, 2024 •
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Pandas has a script for validating docstrings:

pandas/ci/code_checks.sh

Lines 68 to 1266 in c468028

MSG='Validate Docstrings' ; echo $MSG
$BASE_DIR/scripts/validate_docstrings.py \
--format=actions \
-i ES01 `# For now it is ok if docstrings are missing the extended summary` \
-i "pandas.Series.dt PR01" `# Accessors are implemented as classes, but we do not document the Parameters section` \
-i "pandas.Categorical.__array__ SA01" \
-i "pandas.Categorical.codes SA01" \
-i "pandas.Categorical.dtype SA01" \
-i "pandas.Categorical.from_codes SA01" \
-i "pandas.Categorical.ordered SA01" \
-i "pandas.CategoricalDtype.categories SA01" \
-i "pandas.CategoricalDtype.ordered SA01" \
-i "pandas.CategoricalIndex.codes SA01" \
-i "pandas.CategoricalIndex.ordered SA01" \
-i "pandas.DataFrame.__dataframe__ SA01" \
-i "pandas.DataFrame.__iter__ SA01" \
-i "pandas.DataFrame.assign SA01" \
-i "pandas.DataFrame.at_time PR01" \
-i "pandas.DataFrame.axes SA01" \
-i "pandas.DataFrame.backfill PR01,SA01" \
-i "pandas.DataFrame.bfill SA01" \
-i "pandas.DataFrame.columns SA01" \
-i "pandas.DataFrame.copy SA01" \
-i "pandas.DataFrame.droplevel SA01" \
-i "pandas.DataFrame.dtypes SA01" \
-i "pandas.DataFrame.ffill SA01" \
-i "pandas.DataFrame.first_valid_index SA01" \
-i "pandas.DataFrame.get SA01" \
-i "pandas.DataFrame.hist RT03" \
-i "pandas.DataFrame.infer_objects RT03" \
-i "pandas.DataFrame.keys SA01" \
-i "pandas.DataFrame.kurt RT03,SA01" \
-i "pandas.DataFrame.kurtosis RT03,SA01" \
-i "pandas.DataFrame.last_valid_index SA01" \
-i "pandas.DataFrame.mask RT03" \
-i "pandas.DataFrame.max RT03" \
-i "pandas.DataFrame.mean RT03,SA01" \
-i "pandas.DataFrame.median RT03,SA01" \
-i "pandas.DataFrame.min RT03" \
-i "pandas.DataFrame.pad PR01,SA01" \
-i "pandas.DataFrame.plot PR02,SA01" \
-i "pandas.DataFrame.pop SA01" \
-i "pandas.DataFrame.prod RT03" \
-i "pandas.DataFrame.product RT03" \
-i "pandas.DataFrame.reorder_levels SA01" \
-i "pandas.DataFrame.sem PR01,RT03,SA01" \
-i "pandas.DataFrame.skew RT03,SA01" \
-i "pandas.DataFrame.sparse PR01,SA01" \
-i "pandas.DataFrame.sparse.density SA01" \
-i "pandas.DataFrame.sparse.from_spmatrix SA01" \
-i "pandas.DataFrame.sparse.to_coo SA01" \
-i "pandas.DataFrame.sparse.to_dense SA01" \
-i "pandas.DataFrame.std PR01,RT03,SA01" \
-i "pandas.DataFrame.sum RT03" \
-i "pandas.DataFrame.swapaxes PR01,SA01" \
-i "pandas.DataFrame.swaplevel SA01" \
-i "pandas.DataFrame.to_feather SA01" \
-i "pandas.DataFrame.to_markdown SA01" \
-i "pandas.DataFrame.to_parquet RT03" \
-i "pandas.DataFrame.to_period SA01" \
-i "pandas.DataFrame.to_timestamp SA01" \
-i "pandas.DataFrame.tz_convert SA01" \
-i "pandas.DataFrame.tz_localize SA01" \
-i "pandas.DataFrame.unstack RT03" \
-i "pandas.DataFrame.value_counts RT03" \
-i "pandas.DataFrame.var PR01,RT03,SA01" \
-i "pandas.DataFrame.where RT03" \
-i "pandas.DatetimeIndex.ceil SA01" \
-i "pandas.DatetimeIndex.date SA01" \
-i "pandas.DatetimeIndex.day SA01" \
-i "pandas.DatetimeIndex.day_name SA01" \
-i "pandas.DatetimeIndex.day_of_year SA01" \
-i "pandas.DatetimeIndex.dayofyear SA01" \
-i "pandas.DatetimeIndex.floor SA01" \
-i "pandas.DatetimeIndex.freqstr SA01" \
-i "pandas.DatetimeIndex.hour SA01" \
-i "pandas.DatetimeIndex.indexer_at_time PR01,RT03" \
-i "pandas.DatetimeIndex.indexer_between_time RT03" \
-i "pandas.DatetimeIndex.inferred_freq SA01" \
-i "pandas.DatetimeIndex.is_leap_year SA01" \
-i "pandas.DatetimeIndex.microsecond SA01" \
-i "pandas.DatetimeIndex.minute SA01" \
-i "pandas.DatetimeIndex.month SA01" \
-i "pandas.DatetimeIndex.month_name SA01" \
-i "pandas.DatetimeIndex.nanosecond SA01" \
-i "pandas.DatetimeIndex.quarter SA01" \
-i "pandas.DatetimeIndex.round SA01" \
-i "pandas.DatetimeIndex.second SA01" \
-i "pandas.DatetimeIndex.snap PR01,RT03,SA01" \
-i "pandas.DatetimeIndex.std PR01,RT03" \
-i "pandas.DatetimeIndex.time SA01" \
-i "pandas.DatetimeIndex.timetz SA01" \
-i "pandas.DatetimeIndex.to_period RT03" \
-i "pandas.DatetimeIndex.to_pydatetime RT03,SA01" \
-i "pandas.DatetimeIndex.tz SA01" \
-i "pandas.DatetimeIndex.tz_convert RT03" \
-i "pandas.DatetimeIndex.year SA01" \
-i "pandas.DatetimeTZDtype SA01" \
-i "pandas.DatetimeTZDtype.tz SA01" \
-i "pandas.DatetimeTZDtype.unit SA01" \
-i "pandas.ExcelFile PR01,SA01" \
-i "pandas.ExcelFile.parse PR01,SA01" \
-i "pandas.ExcelWriter SA01" \
-i "pandas.Float32Dtype SA01" \
-i "pandas.Float64Dtype SA01" \
-i "pandas.Grouper PR02,SA01" \
-i "pandas.HDFStore.append PR01,SA01" \
-i "pandas.HDFStore.get SA01" \
-i "pandas.HDFStore.groups SA01" \
-i "pandas.HDFStore.info RT03,SA01" \
-i "pandas.HDFStore.keys SA01" \
-i "pandas.HDFStore.put PR01,SA01" \
-i "pandas.HDFStore.select SA01" \
-i "pandas.HDFStore.walk SA01" \
-i "pandas.Index PR07" \
-i "pandas.Index.T SA01" \
-i "pandas.Index.append PR07,RT03,SA01" \
-i "pandas.Index.astype SA01" \
-i "pandas.Index.copy PR07,SA01" \
-i "pandas.Index.difference PR07,RT03,SA01" \
-i "pandas.Index.drop PR07,SA01" \
-i "pandas.Index.drop_duplicates RT03" \
-i "pandas.Index.droplevel RT03,SA01" \
-i "pandas.Index.dropna RT03,SA01" \
-i "pandas.Index.dtype SA01" \
-i "pandas.Index.duplicated RT03" \
-i "pandas.Index.empty GL08" \
-i "pandas.Index.equals SA01" \
-i "pandas.Index.fillna RT03" \
-i "pandas.Index.get_indexer PR07,SA01" \
-i "pandas.Index.get_indexer_for PR01,SA01" \
-i "pandas.Index.get_indexer_non_unique PR07,SA01" \
-i "pandas.Index.get_loc PR07,RT03,SA01" \
-i "pandas.Index.get_slice_bound PR07" \
-i "pandas.Index.hasnans SA01" \
-i "pandas.Index.identical PR01,SA01" \
-i "pandas.Index.inferred_type SA01" \
-i "pandas.Index.insert PR07,RT03,SA01" \
-i "pandas.Index.intersection PR07,RT03,SA01" \
-i "pandas.Index.item SA01" \
-i "pandas.Index.join PR07,RT03,SA01" \
-i "pandas.Index.map SA01" \
-i "pandas.Index.memory_usage RT03" \
-i "pandas.Index.name SA01" \
-i "pandas.Index.names GL08" \
-i "pandas.Index.nbytes SA01" \
-i "pandas.Index.ndim SA01" \
-i "pandas.Index.nunique RT03" \
-i "pandas.Index.putmask PR01,RT03" \
-i "pandas.Index.ravel PR01,RT03" \
-i "pandas.Index.reindex PR07" \
-i "pandas.Index.shape SA01" \
-i "pandas.Index.size SA01" \
-i "pandas.Index.slice_indexer PR07,RT03,SA01" \
-i "pandas.Index.slice_locs RT03" \
-i "pandas.Index.str PR01,SA01" \
-i "pandas.Index.symmetric_difference PR07,RT03,SA01" \
-i "pandas.Index.take PR01,PR07" \
-i "pandas.Index.to_list RT03" \
-i "pandas.Index.union PR07,RT03,SA01" \
-i "pandas.Index.unique RT03" \
-i "pandas.Index.value_counts RT03" \
-i "pandas.Index.view GL08" \
-i "pandas.Int16Dtype SA01" \
-i "pandas.Int32Dtype SA01" \
-i "pandas.Int64Dtype SA01" \
-i "pandas.Int8Dtype SA01" \
-i "pandas.Interval PR02" \
-i "pandas.Interval.closed SA01" \
-i "pandas.Interval.left SA01" \
-i "pandas.Interval.mid SA01" \
-i "pandas.Interval.right SA01" \
-i "pandas.IntervalDtype PR01,SA01" \
-i "pandas.IntervalDtype.subtype SA01" \
-i "pandas.IntervalIndex.closed SA01" \
-i "pandas.IntervalIndex.contains RT03" \
-i "pandas.IntervalIndex.get_indexer PR07,SA01" \
-i "pandas.IntervalIndex.get_loc PR07,RT03,SA01" \
-i "pandas.IntervalIndex.is_non_overlapping_monotonic SA01" \
-i "pandas.IntervalIndex.left GL08" \
-i "pandas.IntervalIndex.length GL08" \
-i "pandas.IntervalIndex.mid GL08" \
-i "pandas.IntervalIndex.right GL08" \
-i "pandas.IntervalIndex.set_closed RT03,SA01" \
-i "pandas.IntervalIndex.to_tuples RT03,SA01" \
-i "pandas.MultiIndex PR01" \
-i "pandas.MultiIndex.append PR07,SA01" \
-i "pandas.MultiIndex.copy PR07,RT03,SA01" \
-i "pandas.MultiIndex.drop PR07,RT03,SA01" \
-i "pandas.MultiIndex.droplevel RT03,SA01" \
-i "pandas.MultiIndex.dtypes SA01" \
-i "pandas.MultiIndex.get_indexer PR07,SA01" \
-i "pandas.MultiIndex.get_level_values SA01" \
-i "pandas.MultiIndex.get_loc PR07" \
-i "pandas.MultiIndex.get_loc_level PR07" \
-i "pandas.MultiIndex.levels SA01" \
-i "pandas.MultiIndex.levshape SA01" \
-i "pandas.MultiIndex.names SA01" \
-i "pandas.MultiIndex.nlevels SA01" \
-i "pandas.MultiIndex.remove_unused_levels RT03,SA01" \
-i "pandas.MultiIndex.reorder_levels RT03,SA01" \
-i "pandas.MultiIndex.set_codes SA01" \
-i "pandas.MultiIndex.set_levels RT03,SA01" \
-i "pandas.MultiIndex.sortlevel PR07,SA01" \
-i "pandas.MultiIndex.to_frame RT03" \
-i "pandas.MultiIndex.truncate SA01" \
-i "pandas.NA SA01" \
-i "pandas.NaT SA01" \
-i "pandas.NamedAgg SA01" \
-i "pandas.Period SA01" \
-i "pandas.Period.asfreq SA01" \
-i "pandas.Period.freq GL08" \
-i "pandas.Period.freqstr SA01" \
-i "pandas.Period.is_leap_year SA01" \
-i "pandas.Period.month SA01" \
-i "pandas.Period.now SA01" \
-i "pandas.Period.ordinal GL08" \
-i "pandas.Period.quarter SA01" \
-i "pandas.Period.strftime PR01,SA01" \
-i "pandas.Period.to_timestamp SA01" \
-i "pandas.Period.year SA01" \
-i "pandas.PeriodDtype SA01" \
-i "pandas.PeriodDtype.freq SA01" \
-i "pandas.PeriodIndex.day SA01" \
-i "pandas.PeriodIndex.day_of_week SA01" \
-i "pandas.PeriodIndex.day_of_year SA01" \
-i "pandas.PeriodIndex.dayofweek SA01" \
-i "pandas.PeriodIndex.dayofyear SA01" \
-i "pandas.PeriodIndex.days_in_month SA01" \
-i "pandas.PeriodIndex.daysinmonth SA01" \
-i "pandas.PeriodIndex.freqstr SA01" \
-i "pandas.PeriodIndex.from_fields PR07,SA01" \
-i "pandas.PeriodIndex.from_ordinals SA01" \
-i "pandas.PeriodIndex.hour SA01" \
-i "pandas.PeriodIndex.is_leap_year SA01" \
-i "pandas.PeriodIndex.minute SA01" \
-i "pandas.PeriodIndex.month SA01" \
-i "pandas.PeriodIndex.quarter SA01" \
-i "pandas.PeriodIndex.qyear GL08" \
-i "pandas.PeriodIndex.second SA01" \
-i "pandas.PeriodIndex.to_timestamp RT03,SA01" \
-i "pandas.PeriodIndex.week SA01" \
-i "pandas.PeriodIndex.weekday SA01" \
-i "pandas.PeriodIndex.weekofyear SA01" \
-i "pandas.PeriodIndex.year SA01" \
-i "pandas.RangeIndex PR07" \
-i "pandas.RangeIndex.from_range PR01,SA01" \
-i "pandas.RangeIndex.start SA01" \
-i "pandas.RangeIndex.step SA01" \
-i "pandas.RangeIndex.stop SA01" \
-i "pandas.Series SA01" \
-i "pandas.Series.T SA01" \
-i "pandas.Series.__iter__ RT03,SA01" \
-i "pandas.Series.add PR07" \
-i "pandas.Series.at_time PR01" \
-i "pandas.Series.backfill PR01,SA01" \
-i "pandas.Series.bfill SA01" \
-i "pandas.Series.case_when RT03" \
-i "pandas.Series.cat PR07,SA01" \
-i "pandas.Series.cat.add_categories PR01,PR02" \
-i "pandas.Series.cat.as_ordered PR01" \
-i "pandas.Series.cat.as_unordered PR01" \
-i "pandas.Series.cat.codes SA01" \
-i "pandas.Series.cat.ordered SA01" \
-i "pandas.Series.cat.remove_categories PR01,PR02" \
-i "pandas.Series.cat.remove_unused_categories PR01" \
-i "pandas.Series.cat.rename_categories PR01,PR02" \
-i "pandas.Series.cat.reorder_categories PR01,PR02" \
-i "pandas.Series.cat.set_categories PR01,PR02" \
-i "pandas.Series.copy SA01" \
-i "pandas.Series.div PR07" \
-i "pandas.Series.droplevel SA01" \
-i "pandas.Series.dt.as_unit PR01,PR02" \
-i "pandas.Series.dt.ceil PR01,PR02,SA01" \
-i "pandas.Series.dt.components SA01" \
-i "pandas.Series.dt.date SA01" \
-i "pandas.Series.dt.day SA01" \
-i "pandas.Series.dt.day_name PR01,PR02,SA01" \
-i "pandas.Series.dt.day_of_year SA01" \
-i "pandas.Series.dt.dayofyear SA01" \
-i "pandas.Series.dt.days SA01" \
-i "pandas.Series.dt.days_in_month SA01" \
-i "pandas.Series.dt.daysinmonth SA01" \
-i "pandas.Series.dt.floor PR01,PR02,SA01" \
-i "pandas.Series.dt.freq GL08" \
-i "pandas.Series.dt.hour SA01" \
-i "pandas.Series.dt.is_leap_year SA01" \
-i "pandas.Series.dt.microsecond SA01" \
-i "pandas.Series.dt.microseconds SA01" \
-i "pandas.Series.dt.minute SA01" \
-i "pandas.Series.dt.month SA01" \
-i "pandas.Series.dt.month_name PR01,PR02,SA01" \
-i "pandas.Series.dt.nanosecond SA01" \
-i "pandas.Series.dt.nanoseconds SA01" \
-i "pandas.Series.dt.normalize PR01" \
-i "pandas.Series.dt.quarter SA01" \
-i "pandas.Series.dt.qyear GL08" \
-i "pandas.Series.dt.round PR01,PR02,SA01" \
-i "pandas.Series.dt.second SA01" \
-i "pandas.Series.dt.seconds SA01" \
-i "pandas.Series.dt.strftime PR01,PR02" \
-i "pandas.Series.dt.time SA01" \
-i "pandas.Series.dt.timetz SA01" \
-i "pandas.Series.dt.to_period PR01,PR02,RT03" \
-i "pandas.Series.dt.total_seconds PR01" \
-i "pandas.Series.dt.tz SA01" \
-i "pandas.Series.dt.tz_convert PR01,PR02,RT03" \
-i "pandas.Series.dt.tz_localize PR01,PR02" \
-i "pandas.Series.dt.unit GL08" \
-i "pandas.Series.dt.year SA01" \
-i "pandas.Series.dtype SA01" \
-i "pandas.Series.dtypes SA01" \
-i "pandas.Series.empty GL08" \
-i "pandas.Series.eq PR07,SA01" \
-i "pandas.Series.ffill SA01" \
-i "pandas.Series.first_valid_index SA01" \
-i "pandas.Series.floordiv PR07" \
-i "pandas.Series.ge PR07,SA01" \
-i "pandas.Series.get SA01" \
-i "pandas.Series.gt PR07,SA01" \
-i "pandas.Series.hasnans SA01" \
-i "pandas.Series.infer_objects RT03" \
-i "pandas.Series.is_monotonic_decreasing SA01" \
-i "pandas.Series.is_monotonic_increasing SA01" \
-i "pandas.Series.is_unique SA01" \
-i "pandas.Series.item SA01" \
-i "pandas.Series.keys SA01" \
-i "pandas.Series.kurt RT03,SA01" \
-i "pandas.Series.kurtosis RT03,SA01" \
-i "pandas.Series.last_valid_index SA01" \
-i "pandas.Series.le PR07,SA01" \
-i "pandas.Series.list.__getitem__ SA01" \
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-i "pandas.Series.product RT03" \
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-i "pandas.Series.str.fullmatch RT03" \
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-i "pandas.Series.str.index RT03" \
-i "pandas.Series.str.ljust RT03,SA01" \
-i "pandas.Series.str.lower RT03" \
-i "pandas.Series.str.lstrip RT03" \
-i "pandas.Series.str.match RT03" \
-i "pandas.Series.str.normalize RT03,SA01" \
-i "pandas.Series.str.partition RT03" \
-i "pandas.Series.str.repeat SA01" \
-i "pandas.Series.str.replace SA01" \
-i "pandas.Series.str.rfind RT03" \
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-i "pandas.Series.str.rjust RT03,SA01" \
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-i "pandas.Series.str.rstrip RT03" \
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-i "pandas.Series.str.upper RT03" \
-i "pandas.Series.str.wrap RT03,SA01" \
-i "pandas.Series.str.zfill RT03" \
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-i "pandas.Series.sub PR07" \
-i "pandas.Series.sum RT03" \
-i "pandas.Series.swaplevel SA01" \
-i "pandas.Series.to_dict SA01" \
-i "pandas.Series.to_frame SA01" \
-i "pandas.Series.to_list RT03" \
-i "pandas.Series.to_markdown SA01" \
-i "pandas.Series.to_period SA01" \
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-i "pandas.qcut PR07,SA01" \
-i "pandas.read_feather SA01" \
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-i "pandas.tseries.offsets.BDay PR02,SA01" \
-i "pandas.tseries.offsets.BMonthBegin PR02" \
-i "pandas.tseries.offsets.BMonthEnd PR02" \
-i "pandas.tseries.offsets.BQuarterBegin PR02" \
-i "pandas.tseries.offsets.BQuarterBegin.copy SA01" \
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-i "pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
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-i "pandas.tseries.offsets.BQuarterBegin.n GL08" \
-i "pandas.tseries.offsets.BQuarterBegin.name SA01" \
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-i "pandas.tseries.offsets.BQuarterEnd.copy SA01" \
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-i "pandas.tseries.offsets.BYearBegin.is_on_offset GL08" \
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-i "pandas.tseries.offsets.BYearBegin.month GL08" \
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-i "pandas.tseries.offsets.BYearBegin.name SA01" \
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-i "pandas.tseries.offsets.BYearEnd PR02" \
-i "pandas.tseries.offsets.BYearEnd.copy SA01" \
-i "pandas.tseries.offsets.BYearEnd.freqstr SA01" \
-i "pandas.tseries.offsets.BYearEnd.is_on_offset GL08" \
-i "pandas.tseries.offsets.BYearEnd.kwds SA01" \
-i "pandas.tseries.offsets.BYearEnd.month GL08" \
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-i "pandas.tseries.offsets.BYearEnd.name SA01" \
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-i "pandas.tseries.offsets.BusinessDay.copy SA01" \
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-i "pandas.tseries.offsets.BusinessDay.is_on_offset GL08" \
-i "pandas.tseries.offsets.BusinessDay.kwds SA01" \
-i "pandas.tseries.offsets.BusinessDay.n GL08" \
-i "pandas.tseries.offsets.BusinessDay.name SA01" \
-i "pandas.tseries.offsets.BusinessDay.nanos GL08" \
-i "pandas.tseries.offsets.BusinessDay.normalize GL08" \
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-i "pandas.tseries.offsets.BusinessHour.calendar GL08" \
-i "pandas.tseries.offsets.BusinessHour.copy SA01" \
-i "pandas.tseries.offsets.BusinessHour.end GL08" \
-i "pandas.tseries.offsets.BusinessHour.freqstr SA01" \
-i "pandas.tseries.offsets.BusinessHour.holidays GL08" \
-i "pandas.tseries.offsets.BusinessHour.is_on_offset GL08" \
-i "pandas.tseries.offsets.BusinessHour.kwds SA01" \
-i "pandas.tseries.offsets.BusinessHour.n GL08" \
-i "pandas.tseries.offsets.BusinessHour.name SA01" \
-i "pandas.tseries.offsets.BusinessHour.nanos GL08" \
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-i "pandas.tseries.offsets.BusinessHour.rule_code GL08" \
-i "pandas.tseries.offsets.BusinessHour.start GL08" \
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-i "pandas.tseries.offsets.BusinessMonthBegin PR02" \
-i "pandas.tseries.offsets.BusinessMonthBegin.copy SA01" \
-i "pandas.tseries.offsets.BusinessMonthBegin.freqstr SA01" \
-i "pandas.tseries.offsets.BusinessMonthBegin.is_on_offset GL08" \
-i "pandas.tseries.offsets.BusinessMonthBegin.kwds SA01" \
-i "pandas.tseries.offsets.BusinessMonthBegin.n GL08" \
-i "pandas.tseries.offsets.BusinessMonthBegin.name SA01" \
-i "pandas.tseries.offsets.BusinessMonthBegin.nanos GL08" \
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-i "pandas.tseries.offsets.BusinessMonthEnd PR02" \
-i "pandas.tseries.offsets.BusinessMonthEnd.copy SA01" \
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-i "pandas.tseries.offsets.BusinessMonthEnd.is_on_offset GL08" \
-i "pandas.tseries.offsets.BusinessMonthEnd.kwds SA01" \
-i "pandas.tseries.offsets.BusinessMonthEnd.n GL08" \
-i "pandas.tseries.offsets.BusinessMonthEnd.name SA01" \
-i "pandas.tseries.offsets.BusinessMonthEnd.nanos GL08" \
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-i "pandas.tseries.offsets.CustomBusinessDay.copy SA01" \
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-i "pandas.tseries.offsets.CustomBusinessDay.is_on_offset GL08" \
-i "pandas.tseries.offsets.CustomBusinessDay.kwds SA01" \
-i "pandas.tseries.offsets.CustomBusinessDay.n GL08" \
-i "pandas.tseries.offsets.CustomBusinessDay.name SA01" \
-i "pandas.tseries.offsets.CustomBusinessDay.nanos GL08" \
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-i "pandas.tseries.offsets.CustomBusinessDay.rule_code GL08" \
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-i "pandas.tseries.offsets.CustomBusinessHour PR02,SA01" \
-i "pandas.tseries.offsets.CustomBusinessHour.calendar GL08" \
-i "pandas.tseries.offsets.CustomBusinessHour.copy SA01" \
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-i "pandas.tseries.offsets.CustomBusinessHour.freqstr SA01" \
-i "pandas.tseries.offsets.CustomBusinessHour.holidays GL08" \
-i "pandas.tseries.offsets.CustomBusinessHour.is_on_offset GL08" \
-i "pandas.tseries.offsets.CustomBusinessHour.kwds SA01" \
-i "pandas.tseries.offsets.CustomBusinessHour.n GL08" \
-i "pandas.tseries.offsets.CustomBusinessHour.name SA01" \
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-i "pandas.tseries.offsets.CustomBusinessHour.rule_code GL08" \
-i "pandas.tseries.offsets.CustomBusinessHour.start GL08" \
-i "pandas.tseries.offsets.CustomBusinessHour.weekmask GL08" \
-i "pandas.tseries.offsets.CustomBusinessMonthBegin PR02" \
-i "pandas.tseries.offsets.CustomBusinessMonthBegin.calendar GL08" \
-i "pandas.tseries.offsets.CustomBusinessMonthBegin.copy SA01" \
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-i "pandas.tseries.offsets.CustomBusinessMonthBegin.holidays GL08" \
-i "pandas.tseries.offsets.CustomBusinessMonthBegin.is_on_offset SA01" \
-i "pandas.tseries.offsets.CustomBusinessMonthBegin.kwds SA01" \
-i "pandas.tseries.offsets.CustomBusinessMonthBegin.m_offset GL08" \
-i "pandas.tseries.offsets.CustomBusinessMonthBegin.n GL08" \
-i "pandas.tseries.offsets.CustomBusinessMonthBegin.name SA01" \
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-i "pandas.tseries.offsets.CustomBusinessMonthBegin.rule_code GL08" \
-i "pandas.tseries.offsets.CustomBusinessMonthBegin.weekmask GL08" \
-i "pandas.tseries.offsets.CustomBusinessMonthEnd PR02" \
-i "pandas.tseries.offsets.CustomBusinessMonthEnd.calendar GL08" \
-i "pandas.tseries.offsets.CustomBusinessMonthEnd.copy SA01" \
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-i "pandas.tseries.offsets.CustomBusinessMonthEnd.holidays GL08" \
-i "pandas.tseries.offsets.CustomBusinessMonthEnd.is_on_offset SA01" \
-i "pandas.tseries.offsets.CustomBusinessMonthEnd.kwds SA01" \
-i "pandas.tseries.offsets.CustomBusinessMonthEnd.m_offset GL08" \
-i "pandas.tseries.offsets.CustomBusinessMonthEnd.n GL08" \
-i "pandas.tseries.offsets.CustomBusinessMonthEnd.name SA01" \
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-i "pandas.tseries.offsets.CustomBusinessMonthEnd.weekmask GL08" \
-i "pandas.tseries.offsets.DateOffset PR02" \
-i "pandas.tseries.offsets.DateOffset.copy SA01" \
-i "pandas.tseries.offsets.DateOffset.freqstr SA01" \
-i "pandas.tseries.offsets.DateOffset.is_on_offset GL08" \
-i "pandas.tseries.offsets.DateOffset.kwds SA01" \
-i "pandas.tseries.offsets.DateOffset.n GL08" \
-i "pandas.tseries.offsets.DateOffset.name SA01" \
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-i "pandas.tseries.offsets.Day PR02" \
-i "pandas.tseries.offsets.Day.copy SA01" \
-i "pandas.tseries.offsets.Day.freqstr SA01" \
-i "pandas.tseries.offsets.Day.is_on_offset GL08" \
-i "pandas.tseries.offsets.Day.kwds SA01" \
-i "pandas.tseries.offsets.Day.n GL08" \
-i "pandas.tseries.offsets.Day.name SA01" \
-i "pandas.tseries.offsets.Day.nanos SA01" \
-i "pandas.tseries.offsets.Day.normalize GL08" \
-i "pandas.tseries.offsets.Day.rule_code GL08" \
-i "pandas.tseries.offsets.Easter PR02" \
-i "pandas.tseries.offsets.Easter.copy SA01" \
-i "pandas.tseries.offsets.Easter.freqstr SA01" \
-i "pandas.tseries.offsets.Easter.is_on_offset GL08" \
-i "pandas.tseries.offsets.Easter.kwds SA01" \
-i "pandas.tseries.offsets.Easter.n GL08" \
-i "pandas.tseries.offsets.Easter.name SA01" \
-i "pandas.tseries.offsets.Easter.nanos GL08" \
-i "pandas.tseries.offsets.Easter.normalize GL08" \
-i "pandas.tseries.offsets.Easter.rule_code GL08" \
-i "pandas.tseries.offsets.FY5253 PR02" \
-i "pandas.tseries.offsets.FY5253.copy SA01" \
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-i "pandas.tseries.offsets.FY5253.get_rule_code_suffix GL08" \
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-i "pandas.tseries.offsets.FY5253.is_on_offset GL08" \
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-i "pandas.tseries.offsets.FY5253.n GL08" \
-i "pandas.tseries.offsets.FY5253.name SA01" \
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-i "pandas.tseries.offsets.FY5253Quarter.year_has_extra_week GL08" \
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-i "pandas.tseries.offsets.Hour.freqstr SA01" \
-i "pandas.tseries.offsets.Hour.is_on_offset GL08" \
-i "pandas.tseries.offsets.Hour.kwds SA01" \
-i "pandas.tseries.offsets.Hour.n GL08" \
-i "pandas.tseries.offsets.Hour.name SA01" \
-i "pandas.tseries.offsets.Hour.nanos SA01" \
-i "pandas.tseries.offsets.Hour.normalize GL08" \
-i "pandas.tseries.offsets.Hour.rule_code GL08" \
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-i "pandas.tseries.offsets.LastWeekOfMonth.n GL08" \
-i "pandas.tseries.offsets.LastWeekOfMonth.name SA01" \
-i "pandas.tseries.offsets.LastWeekOfMonth.nanos GL08" \
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-i "pandas.tseries.offsets.Micro.copy SA01" \
-i "pandas.tseries.offsets.Micro.freqstr SA01" \
-i "pandas.tseries.offsets.Micro.is_on_offset GL08" \
-i "pandas.tseries.offsets.Micro.kwds SA01" \
-i "pandas.tseries.offsets.Micro.n GL08" \
-i "pandas.tseries.offsets.Micro.name SA01" \
-i "pandas.tseries.offsets.Micro.nanos SA01" \
-i "pandas.tseries.offsets.Micro.normalize GL08" \
-i "pandas.tseries.offsets.Micro.rule_code GL08" \
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-i "pandas.tseries.offsets.Milli.freqstr SA01" \
-i "pandas.tseries.offsets.Milli.is_on_offset GL08" \
-i "pandas.tseries.offsets.Milli.kwds SA01" \
-i "pandas.tseries.offsets.Milli.n GL08" \
-i "pandas.tseries.offsets.Milli.name SA01" \
-i "pandas.tseries.offsets.Milli.nanos SA01" \
-i "pandas.tseries.offsets.Milli.normalize GL08" \
-i "pandas.tseries.offsets.Milli.rule_code GL08" \
-i "pandas.tseries.offsets.Minute PR02" \
-i "pandas.tseries.offsets.Minute.copy SA01" \
-i "pandas.tseries.offsets.Minute.freqstr SA01" \
-i "pandas.tseries.offsets.Minute.is_on_offset GL08" \
-i "pandas.tseries.offsets.Minute.kwds SA01" \
-i "pandas.tseries.offsets.Minute.n GL08" \
-i "pandas.tseries.offsets.Minute.name SA01" \
-i "pandas.tseries.offsets.Minute.nanos SA01" \
-i "pandas.tseries.offsets.Minute.normalize GL08" \
-i "pandas.tseries.offsets.Minute.rule_code GL08" \
-i "pandas.tseries.offsets.MonthBegin PR02" \
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-i "pandas.tseries.offsets.MonthBegin.kwds SA01" \
-i "pandas.tseries.offsets.MonthBegin.n GL08" \
-i "pandas.tseries.offsets.MonthBegin.name SA01" \
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-i "pandas.tseries.offsets.MonthBegin.rule_code GL08" \
-i "pandas.tseries.offsets.MonthEnd PR02" \
-i "pandas.tseries.offsets.MonthEnd.copy SA01" \
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-i "pandas.tseries.offsets.MonthEnd.kwds SA01" \
-i "pandas.tseries.offsets.MonthEnd.n GL08" \
-i "pandas.tseries.offsets.MonthEnd.name SA01" \
-i "pandas.tseries.offsets.MonthEnd.nanos GL08" \
-i "pandas.tseries.offsets.MonthEnd.normalize GL08" \
-i "pandas.tseries.offsets.MonthEnd.rule_code GL08" \
-i "pandas.tseries.offsets.Nano PR02" \
-i "pandas.tseries.offsets.Nano.copy SA01" \
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-i "pandas.tseries.offsets.Nano.is_on_offset GL08" \
-i "pandas.tseries.offsets.Nano.kwds SA01" \
-i "pandas.tseries.offsets.Nano.n GL08" \
-i "pandas.tseries.offsets.Nano.name SA01" \
-i "pandas.tseries.offsets.Nano.nanos SA01" \
-i "pandas.tseries.offsets.Nano.normalize GL08" \
-i "pandas.tseries.offsets.Nano.rule_code GL08" \
-i "pandas.tseries.offsets.QuarterBegin PR02" \
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-i "pandas.tseries.offsets.QuarterBegin.n GL08" \
-i "pandas.tseries.offsets.QuarterBegin.name SA01" \
-i "pandas.tseries.offsets.QuarterBegin.nanos GL08" \
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-i "pandas.tseries.offsets.QuarterBegin.startingMonth GL08" \
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-i "pandas.tseries.offsets.QuarterEnd.copy SA01" \
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-i "pandas.tseries.offsets.QuarterEnd.kwds SA01" \
-i "pandas.tseries.offsets.QuarterEnd.n GL08" \
-i "pandas.tseries.offsets.QuarterEnd.name SA01" \
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-i "pandas.tseries.offsets.QuarterEnd.startingMonth GL08" \
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-i "pandas.tseries.offsets.Second.is_on_offset GL08" \
-i "pandas.tseries.offsets.Second.kwds SA01" \
-i "pandas.tseries.offsets.Second.n GL08" \
-i "pandas.tseries.offsets.Second.name SA01" \
-i "pandas.tseries.offsets.Second.nanos SA01" \
-i "pandas.tseries.offsets.Second.normalize GL08" \
-i "pandas.tseries.offsets.Second.rule_code GL08" \
-i "pandas.tseries.offsets.SemiMonthBegin PR02,SA01" \
-i "pandas.tseries.offsets.SemiMonthBegin.copy SA01" \
-i "pandas.tseries.offsets.SemiMonthBegin.day_of_month GL08" \
-i "pandas.tseries.offsets.SemiMonthBegin.freqstr SA01" \
-i "pandas.tseries.offsets.SemiMonthBegin.is_on_offset GL08" \
-i "pandas.tseries.offsets.SemiMonthBegin.kwds SA01" \
-i "pandas.tseries.offsets.SemiMonthBegin.n GL08" \
-i "pandas.tseries.offsets.SemiMonthBegin.name SA01" \
-i "pandas.tseries.offsets.SemiMonthBegin.nanos GL08" \
-i "pandas.tseries.offsets.SemiMonthBegin.normalize GL08" \
-i "pandas.tseries.offsets.SemiMonthBegin.rule_code GL08" \
-i "pandas.tseries.offsets.SemiMonthEnd PR02,SA01" \
-i "pandas.tseries.offsets.SemiMonthEnd.copy SA01" \
-i "pandas.tseries.offsets.SemiMonthEnd.day_of_month GL08" \
-i "pandas.tseries.offsets.SemiMonthEnd.freqstr SA01" \
-i "pandas.tseries.offsets.SemiMonthEnd.is_on_offset GL08" \
-i "pandas.tseries.offsets.SemiMonthEnd.kwds SA01" \
-i "pandas.tseries.offsets.SemiMonthEnd.n GL08" \
-i "pandas.tseries.offsets.SemiMonthEnd.name SA01" \
-i "pandas.tseries.offsets.SemiMonthEnd.nanos GL08" \
-i "pandas.tseries.offsets.SemiMonthEnd.normalize GL08" \
-i "pandas.tseries.offsets.SemiMonthEnd.rule_code GL08" \
-i "pandas.tseries.offsets.Tick GL08" \
-i "pandas.tseries.offsets.Tick.copy SA01" \
-i "pandas.tseries.offsets.Tick.freqstr SA01" \
-i "pandas.tseries.offsets.Tick.is_on_offset GL08" \
-i "pandas.tseries.offsets.Tick.kwds SA01" \
-i "pandas.tseries.offsets.Tick.n GL08" \
-i "pandas.tseries.offsets.Tick.name SA01" \
-i "pandas.tseries.offsets.Tick.nanos SA01" \
-i "pandas.tseries.offsets.Tick.normalize GL08" \
-i "pandas.tseries.offsets.Tick.rule_code GL08" \
-i "pandas.tseries.offsets.Week PR02" \
-i "pandas.tseries.offsets.Week.copy SA01" \
-i "pandas.tseries.offsets.Week.freqstr SA01" \
-i "pandas.tseries.offsets.Week.is_on_offset GL08" \
-i "pandas.tseries.offsets.Week.kwds SA01" \
-i "pandas.tseries.offsets.Week.n GL08" \
-i "pandas.tseries.offsets.Week.name SA01" \
-i "pandas.tseries.offsets.Week.nanos GL08" \
-i "pandas.tseries.offsets.Week.normalize GL08" \
-i "pandas.tseries.offsets.Week.rule_code GL08" \
-i "pandas.tseries.offsets.Week.weekday GL08" \
-i "pandas.tseries.offsets.WeekOfMonth PR02,SA01" \
-i "pandas.tseries.offsets.WeekOfMonth.copy SA01" \
-i "pandas.tseries.offsets.WeekOfMonth.freqstr SA01" \
-i "pandas.tseries.offsets.WeekOfMonth.is_on_offset GL08" \
-i "pandas.tseries.offsets.WeekOfMonth.kwds SA01" \
-i "pandas.tseries.offsets.WeekOfMonth.n GL08" \
-i "pandas.tseries.offsets.WeekOfMonth.name SA01" \
-i "pandas.tseries.offsets.WeekOfMonth.nanos GL08" \
-i "pandas.tseries.offsets.WeekOfMonth.normalize GL08" \
-i "pandas.tseries.offsets.WeekOfMonth.rule_code GL08" \
-i "pandas.tseries.offsets.WeekOfMonth.week GL08" \
-i "pandas.tseries.offsets.WeekOfMonth.weekday GL08" \
-i "pandas.tseries.offsets.YearBegin PR02" \
-i "pandas.tseries.offsets.YearBegin.copy SA01" \
-i "pandas.tseries.offsets.YearBegin.freqstr SA01" \
-i "pandas.tseries.offsets.YearBegin.is_on_offset GL08" \
-i "pandas.tseries.offsets.YearBegin.kwds SA01" \
-i "pandas.tseries.offsets.YearBegin.month GL08" \
-i "pandas.tseries.offsets.YearBegin.n GL08" \
-i "pandas.tseries.offsets.YearBegin.name SA01" \
-i "pandas.tseries.offsets.YearBegin.nanos GL08" \
-i "pandas.tseries.offsets.YearBegin.normalize GL08" \
-i "pandas.tseries.offsets.YearBegin.rule_code GL08" \
-i "pandas.tseries.offsets.YearEnd PR02" \
-i "pandas.tseries.offsets.YearEnd.copy SA01" \
-i "pandas.tseries.offsets.YearEnd.freqstr SA01" \
-i "pandas.tseries.offsets.YearEnd.is_on_offset GL08" \
-i "pandas.tseries.offsets.YearEnd.kwds SA01" \
-i "pandas.tseries.offsets.YearEnd.month GL08" \
-i "pandas.tseries.offsets.YearEnd.n GL08" \
-i "pandas.tseries.offsets.YearEnd.name SA01" \
-i "pandas.tseries.offsets.YearEnd.nanos GL08" \
-i "pandas.tseries.offsets.YearEnd.normalize GL08" \
-i "pandas.tseries.offsets.YearEnd.rule_code GL08" \
-i "pandas.unique PR07" \
-i "pandas.util.hash_array PR07,SA01" \
-i "pandas.util.hash_pandas_object PR07,SA01" # 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 some of these checks.

The work will be broken up into several tickets, to address the work in issues of a more manageable size.

Issues:
DOC: Enforce Numpy Docstring Validation | pandas.Categorical #58064
DOC: Enforce Numpy Docstring Validation | pandas.DataFrame #58065
DOC: Enforce Numpy Docstring Validation | pandas.Datetime #58066
DOC: Enforce Numpy Docstring Validation | pandas.ExcelFile through pandas.HDFStore #58067
DOC: Enforce Numpy Docstring Validation | pandas.Index #58068
* Additional Issues will be added here as they are created

For each Issue, the task is:

  1. take 1-5 methods

  2. run: scripts/validate_docstrings.py --format=actions <method-name>

example command: scripts/validate_docstrings.py --format=actions pandas.Categorical.__array__
example output:

################################################################################
################################## Validation ##################################
################################################################################

2 Errors found for `pandas.Categorical.__array__`:
	ES01	No extended summary found
	SA01	See Also section not found

  1. check if validation docstrings passes for those methods, and if it’s necessary fix the docstrings according to whatever error is reported. Note: We've chosen to ignore ES01 errors, these are not required to be fixed.

  2. remove those methods from code_checks.sh if all errors are cleared and the docstring is correct, otherwise, remove the specific error that was fixed from the list of errors for that method.

  3. 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 @datapythonista for the inspiration for this issue!
This was referenced Mar 29, 2024
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@jordan-d-murphy
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jordan-d-murphy commented Mar 29, 2024 •
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@datapythonista can you take a look over this? We had discussed this a week or so ago after the refactoring in code_checks.sh ( #57879 & #57908 ) so I wanted to make sure it's in line with what you were thinking. if it looks good to you, I'll go ahead and create issues for the rest of the method categories. Also, I did try to add labels to the child issues, but It doesn't seem to let me for some reason.

@ThomasBur
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--error was removed as an argument of scripts/validate_docstrings.py in #57879 so the example command won't work.

People can exclude it, instead checking with:
scripts/validate_docstrings.py --format=actions <method-name>

@jordan-d-murphy
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Ah gotcha thanks @ThomasBur
I'll update this in all the issues

@jordan-d-murphy
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@ThomasBur I updated the example above, can you confirm it looks correct?
(I've updated the examples in the other issues with the same fix)

@Aloqeely
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Aloqeely commented Mar 29, 2024 •
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Looks good, but you'll need to start the command with python (followed by scripts/validate_docstrings.py --format=actions <method-name>), even though it might seem obvious it's better to be clear.

@jordan-d-murphy
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jordan-d-murphy commented Mar 29, 2024 •
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I think python is not required if the development virtual environment is activated, which I believe we should be encouraging.

@tqa236 tqa236 mentioned this issue Apr 21, 2024
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@tuhinsharma121 tuhinsharma121 mentioned this issue Apr 30, 2024
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@tuhinsharma121
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@jordan-d-murphy Mr murphy can you please add #58498 to the body of the parent issue?

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@tuhinsharma121 @ThomasBur @jordan-d-murphy @Aloqeely