diff --git a/ci/code_checks.sh b/ci/code_checks.sh index 3c46cb39eeb7e..a9967dcb8efe6 100755 --- a/ci/code_checks.sh +++ b/ci/code_checks.sh @@ -68,1212 +68,1212 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then 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\ - -i pandas.Series.list.flatten SA01\ - -i pandas.Series.list.len SA01\ - -i pandas.Series.lt PR07,SA01\ - -i pandas.Series.mask RT03\ - -i pandas.Series.max RT03\ - -i pandas.Series.mean RT03,SA01\ - -i pandas.Series.median RT03,SA01\ - -i pandas.Series.min RT03\ - -i pandas.Series.mod PR07\ - -i pandas.Series.mode SA01\ - -i pandas.Series.mul PR07\ - -i pandas.Series.nbytes SA01\ - -i pandas.Series.ndim SA01\ - -i pandas.Series.ne PR07,SA01\ - -i pandas.Series.nunique RT03\ - -i pandas.Series.pad PR01,SA01\ - -i pandas.Series.plot PR02,SA01\ - -i pandas.Series.pop RT03,SA01\ - -i pandas.Series.pow PR07\ - -i pandas.Series.prod RT03\ - -i pandas.Series.product RT03\ - -i pandas.Series.radd PR07\ - -i pandas.Series.rdiv PR07\ - -i pandas.Series.reorder_levels RT03,SA01\ - -i pandas.Series.rfloordiv PR07\ - -i pandas.Series.rmod PR07\ - -i pandas.Series.rmul PR07\ - -i pandas.Series.rpow PR07\ - -i pandas.Series.rsub PR07\ - -i pandas.Series.rtruediv PR07\ - -i pandas.Series.sem PR01,RT03,SA01\ - -i pandas.Series.shape SA01\ - -i pandas.Series.size SA01\ - -i pandas.Series.skew RT03,SA01\ - -i pandas.Series.sparse PR01,SA01\ - -i pandas.Series.sparse.density SA01\ - -i pandas.Series.sparse.fill_value SA01\ - -i pandas.Series.sparse.from_coo PR07,SA01\ - -i pandas.Series.sparse.npoints SA01\ - -i pandas.Series.sparse.sp_values SA01\ - -i pandas.Series.sparse.to_coo PR07,RT03,SA01\ - -i pandas.Series.std PR01,RT03,SA01\ - -i pandas.Series.str PR01,SA01\ - -i pandas.Series.str.capitalize RT03\ - -i pandas.Series.str.casefold RT03\ - -i pandas.Series.str.center RT03,SA01\ - -i pandas.Series.str.decode PR07,RT03,SA01\ - -i pandas.Series.str.encode PR07,RT03,SA01\ - -i pandas.Series.str.find RT03\ - -i pandas.Series.str.fullmatch RT03\ - -i pandas.Series.str.get RT03,SA01\ - -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\ - -i pandas.Series.str.rindex RT03\ - -i pandas.Series.str.rjust RT03,SA01\ - -i pandas.Series.str.rpartition RT03\ - -i pandas.Series.str.rstrip RT03\ - -i pandas.Series.str.strip RT03\ - -i pandas.Series.str.swapcase RT03\ - -i pandas.Series.str.title RT03\ - -i pandas.Series.str.translate RT03,SA01\ - -i pandas.Series.str.upper RT03\ - -i pandas.Series.str.wrap RT03,SA01\ - -i pandas.Series.str.zfill RT03\ - -i pandas.Series.struct.dtypes SA01\ - -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\ - -i pandas.Series.to_string SA01\ - -i pandas.Series.to_timestamp RT03,SA01\ - -i pandas.Series.truediv PR07\ - -i pandas.Series.tz_convert SA01\ - -i pandas.Series.tz_localize SA01\ - -i pandas.Series.unstack SA01\ - -i pandas.Series.update PR07,SA01\ - -i pandas.Series.value_counts RT03\ - -i pandas.Series.var PR01,RT03,SA01\ - -i pandas.Series.where RT03\ - -i pandas.SparseDtype SA01\ - -i pandas.Timedelta PR07,SA01\ - -i pandas.Timedelta.as_unit SA01\ - -i pandas.Timedelta.asm8 SA01\ - -i pandas.Timedelta.ceil SA01\ - -i pandas.Timedelta.components SA01\ - -i pandas.Timedelta.days SA01\ - -i pandas.Timedelta.floor SA01\ - -i pandas.Timedelta.max PR02,PR07,SA01\ - -i pandas.Timedelta.min PR02,PR07,SA01\ - -i pandas.Timedelta.resolution PR02,PR07,SA01\ - -i pandas.Timedelta.round SA01\ - -i pandas.Timedelta.to_numpy PR01\ - -i pandas.Timedelta.to_timedelta64 SA01\ - -i pandas.Timedelta.total_seconds SA01\ - -i pandas.Timedelta.view SA01\ - -i pandas.TimedeltaIndex PR01\ - -i pandas.TimedeltaIndex.as_unit RT03,SA01\ - -i pandas.TimedeltaIndex.ceil SA01\ - -i pandas.TimedeltaIndex.components SA01\ - -i pandas.TimedeltaIndex.days SA01\ - -i pandas.TimedeltaIndex.floor SA01\ - -i pandas.TimedeltaIndex.inferred_freq SA01\ - -i pandas.TimedeltaIndex.microseconds SA01\ - -i pandas.TimedeltaIndex.nanoseconds SA01\ - -i pandas.TimedeltaIndex.round SA01\ - -i pandas.TimedeltaIndex.seconds SA01\ - -i pandas.TimedeltaIndex.to_pytimedelta RT03,SA01\ - -i pandas.Timestamp PR07,SA01\ - -i pandas.Timestamp.as_unit SA01\ - -i pandas.Timestamp.asm8 SA01\ - -i pandas.Timestamp.astimezone SA01\ - -i pandas.Timestamp.ceil SA01\ - -i pandas.Timestamp.combine PR01,SA01\ - -i pandas.Timestamp.ctime SA01\ - -i pandas.Timestamp.date SA01\ - -i pandas.Timestamp.day GL08\ - -i pandas.Timestamp.day_name SA01\ - -i pandas.Timestamp.day_of_week SA01\ - -i pandas.Timestamp.day_of_year SA01\ - -i pandas.Timestamp.dayofweek SA01\ - -i pandas.Timestamp.dayofyear SA01\ - -i pandas.Timestamp.days_in_month SA01\ - -i pandas.Timestamp.daysinmonth SA01\ - -i pandas.Timestamp.dst SA01\ - -i pandas.Timestamp.floor SA01\ - -i pandas.Timestamp.fold GL08\ - -i pandas.Timestamp.fromordinal SA01\ - -i pandas.Timestamp.fromtimestamp PR01,SA01\ - -i pandas.Timestamp.hour GL08\ - -i pandas.Timestamp.is_leap_year SA01\ - -i pandas.Timestamp.isocalendar SA01\ - -i pandas.Timestamp.isoformat SA01\ - -i pandas.Timestamp.isoweekday SA01\ - -i pandas.Timestamp.max PR02,PR07,SA01\ - -i pandas.Timestamp.microsecond GL08\ - -i pandas.Timestamp.min PR02,PR07,SA01\ - -i pandas.Timestamp.minute GL08\ - -i pandas.Timestamp.month GL08\ - -i pandas.Timestamp.month_name SA01\ - -i pandas.Timestamp.nanosecond GL08\ - -i pandas.Timestamp.normalize SA01\ - -i pandas.Timestamp.now SA01\ - -i pandas.Timestamp.quarter SA01\ - -i pandas.Timestamp.replace PR07,SA01\ - -i pandas.Timestamp.resolution PR02,PR07,SA01\ - -i pandas.Timestamp.round SA01\ - -i pandas.Timestamp.second GL08\ - -i pandas.Timestamp.strftime SA01\ - -i pandas.Timestamp.strptime PR01,SA01\ - -i pandas.Timestamp.time SA01\ - -i pandas.Timestamp.timestamp SA01\ - -i pandas.Timestamp.timetuple SA01\ - -i pandas.Timestamp.timetz SA01\ - -i pandas.Timestamp.to_datetime64 SA01\ - -i pandas.Timestamp.to_julian_date SA01\ - -i pandas.Timestamp.to_numpy PR01\ - -i pandas.Timestamp.to_period PR01,SA01\ - -i pandas.Timestamp.to_pydatetime PR01,SA01\ - -i pandas.Timestamp.today SA01\ - -i pandas.Timestamp.toordinal SA01\ - -i pandas.Timestamp.tz SA01\ - -i pandas.Timestamp.tz_convert SA01\ - -i pandas.Timestamp.tz_localize SA01\ - -i pandas.Timestamp.tzinfo GL08\ - -i pandas.Timestamp.tzname SA01\ - -i pandas.Timestamp.unit SA01\ - -i pandas.Timestamp.utcfromtimestamp PR01,SA01\ - -i pandas.Timestamp.utcnow SA01\ - -i pandas.Timestamp.utcoffset SA01\ - -i pandas.Timestamp.utctimetuple SA01\ - -i pandas.Timestamp.value GL08\ - -i pandas.Timestamp.week SA01\ - -i pandas.Timestamp.weekday SA01\ - -i pandas.Timestamp.weekofyear SA01\ - -i pandas.Timestamp.year GL08\ - -i pandas.UInt16Dtype SA01\ - -i pandas.UInt32Dtype SA01\ - -i pandas.UInt64Dtype SA01\ - -i pandas.UInt8Dtype SA01\ - -i pandas.api.extensions.ExtensionArray SA01\ - -i pandas.api.extensions.ExtensionArray._accumulate RT03,SA01\ - -i pandas.api.extensions.ExtensionArray._concat_same_type PR07,SA01\ - -i pandas.api.extensions.ExtensionArray._formatter SA01\ - -i pandas.api.extensions.ExtensionArray._from_sequence SA01\ - -i pandas.api.extensions.ExtensionArray._from_sequence_of_strings SA01\ - -i pandas.api.extensions.ExtensionArray._hash_pandas_object RT03,SA01\ - -i pandas.api.extensions.ExtensionArray._pad_or_backfill PR01,RT03,SA01\ - -i pandas.api.extensions.ExtensionArray._reduce RT03,SA01\ - -i pandas.api.extensions.ExtensionArray._values_for_factorize SA01\ - -i pandas.api.extensions.ExtensionArray.astype SA01\ - -i pandas.api.extensions.ExtensionArray.copy RT03,SA01\ - -i pandas.api.extensions.ExtensionArray.dropna RT03,SA01\ - -i pandas.api.extensions.ExtensionArray.dtype SA01\ - -i pandas.api.extensions.ExtensionArray.duplicated RT03,SA01\ - -i pandas.api.extensions.ExtensionArray.equals SA01\ - -i pandas.api.extensions.ExtensionArray.fillna SA01\ - -i pandas.api.extensions.ExtensionArray.insert PR07,RT03,SA01\ - -i pandas.api.extensions.ExtensionArray.interpolate PR01,SA01\ - -i pandas.api.extensions.ExtensionArray.isin PR07,RT03,SA01\ - -i pandas.api.extensions.ExtensionArray.isna SA01\ - -i pandas.api.extensions.ExtensionArray.nbytes SA01\ - -i pandas.api.extensions.ExtensionArray.ndim SA01\ - -i pandas.api.extensions.ExtensionArray.ravel RT03,SA01\ - -i pandas.api.extensions.ExtensionArray.shape SA01\ - -i pandas.api.extensions.ExtensionArray.shift SA01\ - -i pandas.api.extensions.ExtensionArray.take RT03\ - -i pandas.api.extensions.ExtensionArray.tolist RT03,SA01\ - -i pandas.api.extensions.ExtensionArray.unique RT03,SA01\ - -i pandas.api.extensions.ExtensionArray.view SA01\ - -i pandas.api.extensions.register_extension_dtype SA01\ - -i pandas.api.indexers.BaseIndexer PR01,SA01\ - -i pandas.api.indexers.FixedForwardWindowIndexer PR01,SA01\ - -i 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pandas.core.groupby.DataFrameGroupBy.cummax RT03\ - -i pandas.core.groupby.DataFrameGroupBy.cummin RT03\ - -i pandas.core.groupby.DataFrameGroupBy.cumprod RT03\ - -i pandas.core.groupby.DataFrameGroupBy.cumsum RT03\ - -i pandas.core.groupby.DataFrameGroupBy.filter RT03,SA01\ - -i pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01\ - -i pandas.core.groupby.DataFrameGroupBy.groups SA01\ - -i pandas.core.groupby.DataFrameGroupBy.hist RT03\ - -i pandas.core.groupby.DataFrameGroupBy.indices SA01\ - -i pandas.core.groupby.DataFrameGroupBy.max SA01\ - -i pandas.core.groupby.DataFrameGroupBy.mean RT03\ - -i pandas.core.groupby.DataFrameGroupBy.median SA01\ - -i pandas.core.groupby.DataFrameGroupBy.min SA01\ - -i pandas.core.groupby.DataFrameGroupBy.nth PR02\ - -i pandas.core.groupby.DataFrameGroupBy.nunique RT03,SA01\ - -i pandas.core.groupby.DataFrameGroupBy.ohlc SA01\ - -i pandas.core.groupby.DataFrameGroupBy.plot PR02,SA01\ - -i pandas.core.groupby.DataFrameGroupBy.prod SA01\ - -i pandas.core.groupby.DataFrameGroupBy.rank RT03\ - -i pandas.core.groupby.DataFrameGroupBy.resample RT03\ - -i pandas.core.groupby.DataFrameGroupBy.sem SA01\ - -i pandas.core.groupby.DataFrameGroupBy.skew RT03\ - -i pandas.core.groupby.DataFrameGroupBy.sum SA01\ - -i pandas.core.groupby.DataFrameGroupBy.transform RT03\ - -i pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01\ - -i pandas.core.groupby.SeriesGroupBy.agg RT03\ - -i pandas.core.groupby.SeriesGroupBy.aggregate RT03\ - -i pandas.core.groupby.SeriesGroupBy.apply RT03\ - -i pandas.core.groupby.SeriesGroupBy.cummax RT03\ - -i pandas.core.groupby.SeriesGroupBy.cummin RT03\ - -i pandas.core.groupby.SeriesGroupBy.cumprod RT03\ - -i pandas.core.groupby.SeriesGroupBy.cumsum RT03\ - -i pandas.core.groupby.SeriesGroupBy.filter PR01,RT03,SA01\ - -i pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01\ - -i pandas.core.groupby.SeriesGroupBy.groups SA01\ - -i pandas.core.groupby.SeriesGroupBy.indices SA01\ - -i pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01\ - -i pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01\ - -i pandas.core.groupby.SeriesGroupBy.max SA01\ - -i pandas.core.groupby.SeriesGroupBy.mean RT03\ - -i pandas.core.groupby.SeriesGroupBy.median SA01\ - -i pandas.core.groupby.SeriesGroupBy.min SA01\ - -i pandas.core.groupby.SeriesGroupBy.nth PR02\ - -i pandas.core.groupby.SeriesGroupBy.ohlc SA01\ - -i pandas.core.groupby.SeriesGroupBy.plot PR02,SA01\ - -i pandas.core.groupby.SeriesGroupBy.prod SA01\ - -i pandas.core.groupby.SeriesGroupBy.rank RT03\ - -i pandas.core.groupby.SeriesGroupBy.resample RT03\ - -i pandas.core.groupby.SeriesGroupBy.sem SA01\ - -i pandas.core.groupby.SeriesGroupBy.skew RT03\ - -i pandas.core.groupby.SeriesGroupBy.sum SA01\ - -i pandas.core.groupby.SeriesGroupBy.transform RT03\ - -i pandas.core.resample.Resampler.__iter__ RT03,SA01\ - -i pandas.core.resample.Resampler.ffill RT03\ - -i pandas.core.resample.Resampler.get_group 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RT03\ - -i pandas.describe_option SA01\ - -i pandas.errors.AbstractMethodError PR01,SA01\ - -i pandas.errors.AttributeConflictWarning SA01\ - -i pandas.errors.CSSWarning SA01\ - -i pandas.errors.CategoricalConversionWarning SA01\ - -i pandas.errors.ChainedAssignmentError SA01\ - -i pandas.errors.ClosedFileError SA01\ - -i pandas.errors.DataError SA01\ - -i pandas.errors.DuplicateLabelError SA01\ - -i pandas.errors.EmptyDataError SA01\ - -i pandas.errors.IntCastingNaNError SA01\ - -i pandas.errors.InvalidIndexError SA01\ - -i pandas.errors.InvalidVersion SA01\ - -i pandas.errors.MergeError SA01\ - -i pandas.errors.NullFrequencyError SA01\ - -i pandas.errors.NumExprClobberingError SA01\ - -i pandas.errors.NumbaUtilError SA01\ - -i pandas.errors.OptionError SA01\ - -i pandas.errors.OutOfBoundsDatetime SA01\ - -i pandas.errors.OutOfBoundsTimedelta SA01\ - -i pandas.errors.PerformanceWarning SA01\ - -i pandas.errors.PossibleDataLossError SA01\ - -i pandas.errors.PossiblePrecisionLoss SA01\ 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pandas.io.formats.style.Styler.to_string SA01\ - -i pandas.io.formats.style.Styler.use RT03\ - -i pandas.io.json.build_table_schema PR07,RT03,SA01\ - -i pandas.io.stata.StataReader.data_label SA01\ - -i pandas.io.stata.StataReader.value_labels RT03,SA01\ - -i pandas.io.stata.StataReader.variable_labels RT03,SA01\ - -i pandas.io.stata.StataWriter.write_file SA01\ - -i pandas.json_normalize RT03,SA01\ - -i pandas.merge PR07\ - -i pandas.merge_asof PR07,RT03\ - -i pandas.merge_ordered PR07\ - -i pandas.option_context SA01\ - -i pandas.period_range RT03,SA01\ - -i pandas.pivot PR07\ - -i pandas.pivot_table PR07\ - -i pandas.plotting.andrews_curves RT03,SA01\ - -i pandas.plotting.autocorrelation_plot RT03,SA01\ - -i pandas.plotting.lag_plot RT03,SA01\ - -i pandas.plotting.parallel_coordinates PR07,RT03,SA01\ - -i pandas.plotting.plot_params SA01\ - -i pandas.plotting.scatter_matrix PR07,SA01\ - -i pandas.plotting.table PR07,RT03,SA01\ - -i pandas.qcut PR07,SA01\ - -i pandas.read_feather SA01\ - -i pandas.read_orc SA01\ - -i pandas.read_sas SA01\ - -i pandas.read_spss SA01\ - -i pandas.reset_option SA01\ - -i pandas.set_eng_float_format RT03,SA01\ - -i pandas.set_option SA01\ - -i pandas.show_versions SA01\ - -i pandas.test SA01\ - -i pandas.testing.assert_extension_array_equal SA01\ - -i pandas.testing.assert_index_equal PR07,SA01\ - -i pandas.testing.assert_series_equal PR07,SA01\ - -i pandas.timedelta_range SA01\ - -i pandas.tseries.api.guess_datetime_format SA01\ - -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\ - -i pandas.tseries.offsets.BQuarterBegin.freqstr SA01\ - -i pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08\ - -i pandas.tseries.offsets.BQuarterBegin.kwds SA01\ - -i pandas.tseries.offsets.BQuarterBegin.n GL08\ - -i pandas.tseries.offsets.BQuarterBegin.name SA01\ - 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pandas.tseries.offsets.BYearBegin.is_on_offset GL08\ - -i pandas.tseries.offsets.BYearBegin.kwds SA01\ - -i pandas.tseries.offsets.BYearBegin.month GL08\ - -i pandas.tseries.offsets.BYearBegin.n GL08\ - -i pandas.tseries.offsets.BYearBegin.name SA01\ - -i pandas.tseries.offsets.BYearBegin.nanos GL08\ - -i pandas.tseries.offsets.BYearBegin.normalize GL08\ - -i pandas.tseries.offsets.BYearBegin.rule_code GL08\ - -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\ - -i pandas.tseries.offsets.BYearEnd.n GL08\ - -i pandas.tseries.offsets.BYearEnd.name SA01\ - -i pandas.tseries.offsets.BYearEnd.nanos GL08\ - -i pandas.tseries.offsets.BYearEnd.normalize GL08\ - -i pandas.tseries.offsets.BYearEnd.rule_code GL08\ - -i pandas.tseries.offsets.BusinessDay 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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\ - -i pandas.tseries.offsets.BusinessHour.normalize GL08\ - -i pandas.tseries.offsets.BusinessHour.rule_code GL08\ - -i pandas.tseries.offsets.BusinessHour.start GL08\ - -i pandas.tseries.offsets.BusinessHour.weekmask GL08\ - -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\ - -i pandas.tseries.offsets.BusinessMonthBegin.normalize GL08\ - -i pandas.tseries.offsets.BusinessMonthBegin.rule_code GL08\ - -i pandas.tseries.offsets.BusinessMonthEnd PR02\ - -i pandas.tseries.offsets.BusinessMonthEnd.copy SA01\ - -i pandas.tseries.offsets.BusinessMonthEnd.freqstr SA01\ - -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\ - -i pandas.tseries.offsets.BusinessMonthEnd.normalize GL08\ - -i pandas.tseries.offsets.BusinessMonthEnd.rule_code GL08\ - -i pandas.tseries.offsets.CBMonthBegin PR02\ - -i pandas.tseries.offsets.CBMonthEnd PR02\ - -i pandas.tseries.offsets.CDay PR02,SA01\ - -i pandas.tseries.offsets.CustomBusinessDay PR02,SA01\ - -i pandas.tseries.offsets.CustomBusinessDay.calendar GL08\ - -i pandas.tseries.offsets.CustomBusinessDay.copy 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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\ - -i pandas.tseries.offsets.CustomBusinessHour.nanos GL08\ - -i pandas.tseries.offsets.CustomBusinessHour.normalize GL08\ - -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\ - -i pandas.tseries.offsets.CustomBusinessMonthBegin.freqstr SA01\ - -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\ - -i pandas.tseries.offsets.CustomBusinessMonthBegin.nanos GL08\ - -i pandas.tseries.offsets.CustomBusinessMonthBegin.normalize GL08\ - -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\ - -i pandas.tseries.offsets.CustomBusinessMonthEnd.freqstr SA01\ - -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\ - -i pandas.tseries.offsets.CustomBusinessMonthEnd.nanos GL08\ - -i pandas.tseries.offsets.CustomBusinessMonthEnd.normalize GL08\ - -i pandas.tseries.offsets.CustomBusinessMonthEnd.rule_code GL08\ - -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\ - -i pandas.tseries.offsets.DateOffset.nanos GL08\ - -i pandas.tseries.offsets.DateOffset.normalize GL08\ - -i pandas.tseries.offsets.DateOffset.rule_code GL08\ - -i pandas.tseries.offsets.Day PR02\ - -i pandas.tseries.offsets.Day.copy SA01\ - -i pandas.tseries.offsets.Day.delta GL08\ - -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\ - -i pandas.tseries.offsets.FY5253.freqstr SA01\ - -i pandas.tseries.offsets.FY5253.get_rule_code_suffix GL08\ - -i pandas.tseries.offsets.FY5253.get_year_end GL08\ - -i pandas.tseries.offsets.FY5253.is_on_offset GL08\ - -i pandas.tseries.offsets.FY5253.kwds SA01\ - -i pandas.tseries.offsets.FY5253.n GL08\ - -i pandas.tseries.offsets.FY5253.name SA01\ - -i pandas.tseries.offsets.FY5253.nanos GL08\ - -i pandas.tseries.offsets.FY5253.normalize GL08\ - -i pandas.tseries.offsets.FY5253.rule_code GL08\ - -i pandas.tseries.offsets.FY5253.startingMonth GL08\ - -i pandas.tseries.offsets.FY5253.variation GL08\ - -i pandas.tseries.offsets.FY5253.weekday GL08\ - -i pandas.tseries.offsets.FY5253Quarter PR02\ - -i pandas.tseries.offsets.FY5253Quarter.copy SA01\ - -i pandas.tseries.offsets.FY5253Quarter.freqstr SA01\ - -i pandas.tseries.offsets.FY5253Quarter.get_rule_code_suffix GL08\ - -i pandas.tseries.offsets.FY5253Quarter.get_weeks GL08\ - -i pandas.tseries.offsets.FY5253Quarter.is_on_offset GL08\ - -i pandas.tseries.offsets.FY5253Quarter.kwds SA01\ - -i pandas.tseries.offsets.FY5253Quarter.n GL08\ - -i pandas.tseries.offsets.FY5253Quarter.name SA01\ - -i pandas.tseries.offsets.FY5253Quarter.nanos GL08\ - -i pandas.tseries.offsets.FY5253Quarter.normalize GL08\ - -i pandas.tseries.offsets.FY5253Quarter.qtr_with_extra_week GL08\ - -i pandas.tseries.offsets.FY5253Quarter.rule_code GL08\ - -i pandas.tseries.offsets.FY5253Quarter.startingMonth GL08\ - -i pandas.tseries.offsets.FY5253Quarter.variation GL08\ - -i pandas.tseries.offsets.FY5253Quarter.weekday GL08\ - -i pandas.tseries.offsets.FY5253Quarter.year_has_extra_week GL08\ - -i pandas.tseries.offsets.Hour PR02\ - -i pandas.tseries.offsets.Hour.copy SA01\ - -i pandas.tseries.offsets.Hour.delta GL08\ - -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\ - -i pandas.tseries.offsets.LastWeekOfMonth PR02,SA01\ - -i pandas.tseries.offsets.LastWeekOfMonth.copy SA01\ - -i pandas.tseries.offsets.LastWeekOfMonth.freqstr SA01\ - -i pandas.tseries.offsets.LastWeekOfMonth.is_on_offset GL08\ - -i pandas.tseries.offsets.LastWeekOfMonth.kwds SA01\ - -i pandas.tseries.offsets.LastWeekOfMonth.n GL08\ - -i pandas.tseries.offsets.LastWeekOfMonth.name SA01\ - -i pandas.tseries.offsets.LastWeekOfMonth.nanos GL08\ - -i pandas.tseries.offsets.LastWeekOfMonth.normalize GL08\ - -i pandas.tseries.offsets.LastWeekOfMonth.rule_code GL08\ - -i pandas.tseries.offsets.LastWeekOfMonth.week GL08\ - -i pandas.tseries.offsets.LastWeekOfMonth.weekday GL08\ - -i pandas.tseries.offsets.Micro PR02\ - -i pandas.tseries.offsets.Micro.copy SA01\ - -i pandas.tseries.offsets.Micro.delta GL08\ - -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\ - -i pandas.tseries.offsets.Milli PR02\ - -i pandas.tseries.offsets.Milli.copy SA01\ - -i pandas.tseries.offsets.Milli.delta GL08\ - -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.delta GL08\ - -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\ - -i pandas.tseries.offsets.MonthBegin.copy SA01\ - -i pandas.tseries.offsets.MonthBegin.freqstr SA01\ - -i pandas.tseries.offsets.MonthBegin.is_on_offset GL08\ - -i pandas.tseries.offsets.MonthBegin.kwds SA01\ - -i pandas.tseries.offsets.MonthBegin.n GL08\ - -i pandas.tseries.offsets.MonthBegin.name SA01\ - -i pandas.tseries.offsets.MonthBegin.nanos GL08\ - -i pandas.tseries.offsets.MonthBegin.normalize GL08\ - -i pandas.tseries.offsets.MonthBegin.rule_code GL08\ - -i pandas.tseries.offsets.MonthEnd PR02\ - -i pandas.tseries.offsets.MonthEnd.copy SA01\ - -i pandas.tseries.offsets.MonthEnd.freqstr SA01\ - -i pandas.tseries.offsets.MonthEnd.is_on_offset GL08\ - -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\ - -i pandas.tseries.offsets.Nano.delta GL08\ - -i pandas.tseries.offsets.Nano.freqstr SA01\ - -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\ - -i pandas.tseries.offsets.QuarterBegin.copy SA01\ - -i pandas.tseries.offsets.QuarterBegin.freqstr SA01\ - -i pandas.tseries.offsets.QuarterBegin.is_on_offset GL08\ - -i pandas.tseries.offsets.QuarterBegin.kwds SA01\ - -i pandas.tseries.offsets.QuarterBegin.n GL08\ - -i pandas.tseries.offsets.QuarterBegin.name SA01\ - -i pandas.tseries.offsets.QuarterBegin.nanos GL08\ - -i pandas.tseries.offsets.QuarterBegin.normalize GL08\ - -i pandas.tseries.offsets.QuarterBegin.rule_code GL08\ - -i pandas.tseries.offsets.QuarterBegin.startingMonth GL08\ - -i pandas.tseries.offsets.QuarterEnd PR02\ - -i pandas.tseries.offsets.QuarterEnd.copy SA01\ - -i pandas.tseries.offsets.QuarterEnd.freqstr SA01\ - -i pandas.tseries.offsets.QuarterEnd.is_on_offset GL08\ - -i pandas.tseries.offsets.QuarterEnd.kwds SA01\ - -i pandas.tseries.offsets.QuarterEnd.n GL08\ - -i pandas.tseries.offsets.QuarterEnd.name SA01\ - -i pandas.tseries.offsets.QuarterEnd.nanos GL08\ - -i pandas.tseries.offsets.QuarterEnd.normalize GL08\ - -i pandas.tseries.offsets.QuarterEnd.rule_code GL08\ - -i pandas.tseries.offsets.QuarterEnd.startingMonth GL08\ - -i pandas.tseries.offsets.Second PR02\ - -i pandas.tseries.offsets.Second.copy SA01\ - -i pandas.tseries.offsets.Second.delta GL08\ - -i pandas.tseries.offsets.Second.freqstr SA01\ - -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.delta GL08\ - -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 + -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" \ 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+ -i "pandas.tseries.offsets.MonthEnd PR02" \ + -i "pandas.tseries.offsets.MonthEnd.copy SA01" \ + -i "pandas.tseries.offsets.MonthEnd.freqstr SA01" \ + -i "pandas.tseries.offsets.MonthEnd.is_on_offset GL08" \ + -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" \ + -i "pandas.tseries.offsets.Nano.delta GL08" \ + -i "pandas.tseries.offsets.Nano.freqstr SA01" \ + -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" \ + -i "pandas.tseries.offsets.QuarterBegin.copy SA01" \ + -i "pandas.tseries.offsets.QuarterBegin.freqstr SA01" \ + -i "pandas.tseries.offsets.QuarterBegin.is_on_offset GL08" \ + -i "pandas.tseries.offsets.QuarterBegin.kwds SA01" \ + -i "pandas.tseries.offsets.QuarterBegin.n GL08" \ + -i "pandas.tseries.offsets.QuarterBegin.name SA01" \ + -i "pandas.tseries.offsets.QuarterBegin.nanos GL08" \ + -i "pandas.tseries.offsets.QuarterBegin.normalize GL08" \ + -i "pandas.tseries.offsets.QuarterBegin.rule_code GL08" \ + -i "pandas.tseries.offsets.QuarterBegin.startingMonth GL08" \ + -i "pandas.tseries.offsets.QuarterEnd PR02" \ + -i "pandas.tseries.offsets.QuarterEnd.copy SA01" \ + -i "pandas.tseries.offsets.QuarterEnd.freqstr SA01" \ + -i "pandas.tseries.offsets.QuarterEnd.is_on_offset GL08" \ + -i "pandas.tseries.offsets.QuarterEnd.kwds SA01" \ + -i "pandas.tseries.offsets.QuarterEnd.n GL08" \ + -i "pandas.tseries.offsets.QuarterEnd.name SA01" \ + -i "pandas.tseries.offsets.QuarterEnd.nanos GL08" \ + -i "pandas.tseries.offsets.QuarterEnd.normalize GL08" \ + -i "pandas.tseries.offsets.QuarterEnd.rule_code GL08" \ + -i "pandas.tseries.offsets.QuarterEnd.startingMonth GL08" \ + -i "pandas.tseries.offsets.Second PR02" \ + -i "pandas.tseries.offsets.Second.copy SA01" \ + -i "pandas.tseries.offsets.Second.delta GL08" \ + -i "pandas.tseries.offsets.Second.freqstr SA01" \ + -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.delta GL08" \ + -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" diff --git a/scripts/tests/test_validate_docstrings.py b/scripts/tests/test_validate_docstrings.py index 72d5c03ab724f..d2e92bb971888 100644 --- a/scripts/tests/test_validate_docstrings.py +++ b/scripts/tests/test_validate_docstrings.py @@ -259,7 +259,7 @@ def test_validate_all_ignore_errors(self, monkeypatch): output_format="default", prefix=None, ignore_deprecated=False, - ignore_errors={"*": {"ER03"}}, + ignore_errors={None: {"ER03"}}, ) # two functions * two not ignored errors assert exit_status == 2 * 2 @@ -269,7 +269,7 @@ def test_validate_all_ignore_errors(self, monkeypatch): prefix=None, ignore_deprecated=False, ignore_errors={ - "*": {"ER03"}, + None: {"ER03"}, "pandas.DataFrame.align": {"ER01"}, # ignoring an error that is not requested should be of no effect "pandas.Index.all": {"ER03"} @@ -399,7 +399,7 @@ def test_exit_status_for_main(self, monkeypatch) -> None: prefix=None, output_format="default", ignore_deprecated=False, - ignore_errors=None, + ignore_errors={}, ) assert exit_status == 3 @@ -429,7 +429,7 @@ def test_exit_status_errors_for_validate_all(self, monkeypatch) -> None: prefix=None, output_format="default", ignore_deprecated=False, - ignore_errors=None, + ignore_errors={}, ) assert exit_status == 5 @@ -447,7 +447,7 @@ def test_no_exit_status_noerrors_for_validate_all(self, monkeypatch) -> None: output_format="default", prefix=None, ignore_deprecated=False, - ignore_errors=None, + ignore_errors={}, ) assert exit_status == 0 @@ -471,7 +471,7 @@ def test_exit_status_for_validate_all_json(self, monkeypatch) -> None: output_format="json", prefix=None, ignore_deprecated=False, - ignore_errors=None, + ignore_errors={}, ) assert exit_status == 0 @@ -515,7 +515,7 @@ def test_errors_param_filters_errors(self, monkeypatch) -> None: output_format="default", prefix=None, ignore_deprecated=False, - ignore_errors={"*": {"ER02", "ER03"}}, + ignore_errors={None: {"ER02", "ER03"}}, ) assert exit_status == 3 @@ -524,6 +524,6 @@ def test_errors_param_filters_errors(self, monkeypatch) -> None: output_format="default", prefix=None, ignore_deprecated=False, - ignore_errors={"*": {"ER01", "ER02"}}, + ignore_errors={None: {"ER01", "ER02"}}, ) assert exit_status == 1 diff --git a/scripts/validate_docstrings.py b/scripts/validate_docstrings.py index 0057f97ffa211..55acfaac4d843 100755 --- a/scripts/validate_docstrings.py +++ b/scripts/validate_docstrings.py @@ -365,7 +365,7 @@ def print_validate_all_results( error_messages = dict(res["errors"]) actual_failures = set(error_messages) expected_failures = (ignore_errors.get(func_name, set()) - | ignore_errors.get("*", set())) + | ignore_errors.get(None, set())) for err_code in actual_failures - expected_failures: sys.stdout.write( f'{prefix}{res["file"]}:{res["file_line"]}:' @@ -383,7 +383,8 @@ def print_validate_all_results( return exit_status -def print_validate_one_results(func_name: str) -> int: +def print_validate_one_results(func_name: str, + ignore_errors: dict[str, set[str]]) -> int: def header(title, width=80, char="#") -> str: full_line = char * width side_len = (width - len(title) - 2) // 2 @@ -394,6 +395,9 @@ def header(title, width=80, char="#") -> str: result = pandas_validate(func_name) + result["errors"] = [(code, message) for code, message in result["errors"] + if code not in ignore_errors.get(None, set())] + sys.stderr.write(header(f"Docstring ({func_name})")) sys.stderr.write(f"{result['docstring']}\n") @@ -415,9 +419,13 @@ def header(title, width=80, char="#") -> str: def _format_ignore_errors(raw_ignore_errors): ignore_errors = collections.defaultdict(set) if raw_ignore_errors: - for obj_name, error_codes in raw_ignore_errors: + for error_codes in raw_ignore_errors: + obj_name = None + if " " in error_codes: + obj_name, error_codes = error_codes.split(" ") + # function errors "pandas.Series PR01,SA01" - if obj_name != "*": + if obj_name: if obj_name in ignore_errors: raise ValueError( f"Object `{obj_name}` is present in more than one " @@ -433,7 +441,7 @@ def _format_ignore_errors(raw_ignore_errors): # global errors "PR02,ES01" else: - ignore_errors["*"].update(set(error_codes.split(","))) + ignore_errors[None].update(set(error_codes.split(","))) unknown_errors = ignore_errors["*"] - ALL_ERRORS if unknown_errors: @@ -462,7 +470,7 @@ def main( ignore_errors ) else: - return print_validate_one_results(func_name) + return print_validate_one_results(func_name, ignore_errors) if __name__ == "__main__": @@ -505,11 +513,10 @@ def main( "-i", default=None, action="append", - nargs=2, - metavar=("function", "error_codes"), - help="function for which comma separated list " - "of error codes should not be validated" - "(e.g. pandas.DataFrame.head PR01,SA01). " + help="comma-separated list of error codes " + "(e.g. 'PR02,SA01'), with optional object path " + "to ignore errors for a single object " + "(e.g. pandas.DataFrame.head PR02,SA01). " "Partial validation for more than one function" "can be achieved by repeating this parameter.", )