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Pandas has a script for validating docstrings:
Lines 144 to 1185 in 1ca9b58
MSG='Partially validate docstrings (ES01)' ; echo $MSG | |
$BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=ES01 --ignore_functions \ | |
pandas.Categorical.__array__\ | |
pandas.Categorical.as_ordered\ | |
pandas.Categorical.as_unordered\ | |
pandas.Categorical.dtype\ | |
pandas.Categorical.ordered\ | |
pandas.Categorical.remove_unused_categories\ | |
pandas.Categorical.rename_categories\ | |
pandas.CategoricalDtype\ | |
pandas.CategoricalDtype.categories\ | |
pandas.CategoricalDtype.ordered\ | |
pandas.CategoricalIndex.as_ordered\ | |
pandas.CategoricalIndex.as_unordered\ | |
pandas.CategoricalIndex.equals\ | |
pandas.CategoricalIndex.ordered\ | |
pandas.CategoricalIndex.remove_unused_categories\ | |
pandas.CategoricalIndex.rename_categories\ | |
pandas.DataFrame.T\ | |
pandas.DataFrame.__dataframe__\ | |
pandas.DataFrame.__iter__\ | |
pandas.DataFrame.agg\ | |
pandas.DataFrame.aggregate\ | |
pandas.DataFrame.astype\ | |
pandas.DataFrame.at_time\ | |
pandas.DataFrame.bfill\ | |
pandas.DataFrame.columns\ | |
pandas.DataFrame.compare\ | |
pandas.DataFrame.convert_dtypes\ | |
pandas.DataFrame.corr\ | |
pandas.DataFrame.droplevel\ | |
pandas.DataFrame.expanding\ | |
pandas.DataFrame.explode\ | |
pandas.DataFrame.ffill\ | |
pandas.DataFrame.fillna\ | |
pandas.DataFrame.first_valid_index\ | |
pandas.DataFrame.isin\ | |
pandas.DataFrame.iterrows\ | |
pandas.DataFrame.itertuples\ | |
pandas.DataFrame.last_valid_index\ | |
pandas.DataFrame.mask\ | |
pandas.DataFrame.mean\ | |
pandas.DataFrame.median\ | |
pandas.DataFrame.pipe\ | |
pandas.DataFrame.pop\ | |
pandas.DataFrame.prod\ | |
pandas.DataFrame.product\ | |
pandas.DataFrame.quantile\ | |
pandas.DataFrame.query\ | |
pandas.DataFrame.rename_axis\ | |
pandas.DataFrame.reorder_levels\ | |
pandas.DataFrame.rolling\ | |
pandas.DataFrame.round\ | |
pandas.DataFrame.select_dtypes\ | |
pandas.DataFrame.set_flags\ | |
pandas.DataFrame.shape\ | |
pandas.DataFrame.sort_values\ | |
pandas.DataFrame.sparse\ | |
pandas.DataFrame.sparse.density\ | |
pandas.DataFrame.sparse.from_spmatrix\ | |
pandas.DataFrame.sparse.to_coo\ | |
pandas.DataFrame.sparse.to_dense\ | |
pandas.DataFrame.to_csv\ | |
pandas.DataFrame.to_feather\ | |
pandas.DataFrame.to_html\ | |
pandas.DataFrame.to_markdown\ | |
pandas.DataFrame.to_pickle\ | |
pandas.DataFrame.to_string\ | |
pandas.DataFrame.to_timestamp\ | |
pandas.DataFrame.to_xarray\ | |
pandas.DataFrame.transform\ | |
pandas.DataFrame.tz_convert\ | |
pandas.DataFrame.value_counts\ | |
pandas.DataFrame.where\ | |
pandas.DatetimeIndex.ceil\ | |
pandas.DatetimeIndex.day\ | |
pandas.DatetimeIndex.day_name\ | |
pandas.DatetimeIndex.day_of_year\ | |
pandas.DatetimeIndex.dayofyear\ | |
pandas.DatetimeIndex.floor\ | |
pandas.DatetimeIndex.freqstr\ | |
pandas.DatetimeIndex.hour\ | |
pandas.DatetimeIndex.indexer_at_time\ | |
pandas.DatetimeIndex.indexer_between_time\ | |
pandas.DatetimeIndex.is_month_end\ | |
pandas.DatetimeIndex.is_month_start\ | |
pandas.DatetimeIndex.is_quarter_end\ | |
pandas.DatetimeIndex.is_quarter_start\ | |
pandas.DatetimeIndex.is_year_end\ | |
pandas.DatetimeIndex.is_year_start\ | |
pandas.DatetimeIndex.mean\ | |
pandas.DatetimeIndex.microsecond\ | |
pandas.DatetimeIndex.minute\ | |
pandas.DatetimeIndex.month\ | |
pandas.DatetimeIndex.month_name\ | |
pandas.DatetimeIndex.nanosecond\ | |
pandas.DatetimeIndex.quarter\ | |
pandas.DatetimeIndex.round\ | |
pandas.DatetimeIndex.second\ | |
pandas.DatetimeIndex.snap\ | |
pandas.DatetimeIndex.to_frame\ | |
pandas.DatetimeIndex.to_pydatetime\ | |
pandas.DatetimeIndex.tz\ | |
pandas.DatetimeIndex.tz_convert\ | |
pandas.DatetimeIndex.year\ | |
pandas.DatetimeTZDtype.tz\ | |
pandas.DatetimeTZDtype.unit\ | |
pandas.Flags\ | |
pandas.HDFStore.get\ | |
pandas.HDFStore.info\ | |
pandas.HDFStore.keys\ | |
pandas.HDFStore.put\ | |
pandas.Index.T\ | |
pandas.Index.all\ | |
pandas.Index.any\ | |
pandas.Index.append\ | |
pandas.Index.argsort\ | |
pandas.Index.array\ | |
pandas.Index.delete\ | |
pandas.Index.drop\ | |
pandas.Index.drop_duplicates\ | |
pandas.Index.dropna\ | |
pandas.Index.dtype\ | |
pandas.Index.fillna\ | |
pandas.Index.get_loc\ | |
pandas.Index.has_duplicates\ | |
pandas.Index.identical\ | |
pandas.Index.inferred_type\ | |
pandas.Index.is_monotonic_decreasing\ | |
pandas.Index.is_monotonic_increasing\ | |
pandas.Index.is_unique\ | |
pandas.Index.item\ | |
pandas.Index.join\ | |
pandas.Index.map\ | |
pandas.Index.max\ | |
pandas.Index.memory_usage\ | |
pandas.Index.min\ | |
pandas.Index.name\ | |
pandas.Index.nbytes\ | |
pandas.Index.ndim\ | |
pandas.Index.putmask\ | |
pandas.Index.ravel\ | |
pandas.Index.reindex\ | |
pandas.Index.shape\ | |
pandas.Index.size\ | |
pandas.Index.slice_locs\ | |
pandas.Index.symmetric_difference\ | |
pandas.Index.to_frame\ | |
pandas.Index.to_numpy\ | |
pandas.IndexSlice\ | |
pandas.Interval\ | |
pandas.Interval.is_empty\ | |
pandas.Interval.left\ | |
pandas.Interval.length\ | |
pandas.Interval.mid\ | |
pandas.Interval.right\ | |
pandas.IntervalDtype.subtype\ | |
pandas.IntervalIndex\ | |
pandas.IntervalIndex.from_arrays\ | |
pandas.IntervalIndex.from_breaks\ | |
pandas.IntervalIndex.from_tuples\ | |
pandas.IntervalIndex.get_loc\ | |
pandas.IntervalIndex.is_empty\ | |
pandas.IntervalIndex.set_closed\ | |
pandas.IntervalIndex.to_tuples\ | |
pandas.MultiIndex\ | |
pandas.MultiIndex.append\ | |
pandas.MultiIndex.drop\ | |
pandas.MultiIndex.dtypes\ | |
pandas.MultiIndex.from_arrays\ | |
pandas.MultiIndex.from_frame\ | |
pandas.MultiIndex.from_product\ | |
pandas.MultiIndex.from_tuples\ | |
pandas.MultiIndex.get_loc_level\ | |
pandas.MultiIndex.get_locs\ | |
pandas.MultiIndex.levshape\ | |
pandas.MultiIndex.names\ | |
pandas.MultiIndex.nlevels\ | |
pandas.MultiIndex.reorder_levels\ | |
pandas.MultiIndex.set_codes\ | |
pandas.MultiIndex.set_levels\ | |
pandas.MultiIndex.to_flat_index\ | |
pandas.MultiIndex.truncate\ | |
pandas.NaT\ | |
pandas.Period\ | |
pandas.Period.asfreq\ | |
pandas.Period.day\ | |
pandas.Period.days_in_month\ | |
pandas.Period.daysinmonth\ | |
pandas.Period.end_time\ | |
pandas.Period.freqstr\ | |
pandas.Period.hour\ | |
pandas.Period.is_leap_year\ | |
pandas.Period.minute\ | |
pandas.Period.month\ | |
pandas.Period.now\ | |
pandas.Period.quarter\ | |
pandas.Period.second\ | |
pandas.Period.start_time\ | |
pandas.Period.week\ | |
pandas.Period.weekofyear\ | |
pandas.Period.year\ | |
pandas.PeriodDtype.freq\ | |
pandas.PeriodIndex.day\ | |
pandas.PeriodIndex.day_of_week\ | |
pandas.PeriodIndex.day_of_year\ | |
pandas.PeriodIndex.dayofweek\ | |
pandas.PeriodIndex.dayofyear\ | |
pandas.PeriodIndex.days_in_month\ | |
pandas.PeriodIndex.daysinmonth\ | |
pandas.PeriodIndex.end_time\ | |
pandas.PeriodIndex.freqstr\ | |
pandas.PeriodIndex.from_fields\ | |
pandas.PeriodIndex.from_ordinals\ | |
pandas.PeriodIndex.hour\ | |
pandas.PeriodIndex.is_leap_year\ | |
pandas.PeriodIndex.minute\ | |
pandas.PeriodIndex.month\ | |
pandas.PeriodIndex.quarter\ | |
pandas.PeriodIndex.second\ | |
pandas.PeriodIndex.start_time\ | |
pandas.PeriodIndex.to_timestamp\ | |
pandas.PeriodIndex.week\ | |
pandas.PeriodIndex.weekday\ | |
pandas.PeriodIndex.weekofyear\ | |
pandas.PeriodIndex.year\ | |
pandas.RangeIndex.from_range\ | |
pandas.RangeIndex.start\ | |
pandas.RangeIndex.step\ | |
pandas.RangeIndex.stop\ | |
pandas.Series.T\ | |
pandas.Series.agg\ | |
pandas.Series.aggregate\ | |
pandas.Series.array\ | |
pandas.Series.astype\ | |
pandas.Series.at_time\ | |
pandas.Series.bfill\ | |
pandas.Series.case_when\ | |
pandas.Series.cat\ | |
pandas.Series.cat.as_ordered\ | |
pandas.Series.cat.as_unordered\ | |
pandas.Series.cat.codes\ | |
pandas.Series.cat.ordered\ | |
pandas.Series.cat.remove_unused_categories\ | |
pandas.Series.cat.rename_categories\ | |
pandas.Series.compare\ | |
pandas.Series.convert_dtypes\ | |
pandas.Series.count\ | |
pandas.Series.drop_duplicates\ | |
pandas.Series.droplevel\ | |
pandas.Series.dt.ceil\ | |
pandas.Series.dt.components\ | |
pandas.Series.dt.day\ | |
pandas.Series.dt.day_name\ | |
pandas.Series.dt.day_of_year\ | |
pandas.Series.dt.dayofyear\ | |
pandas.Series.dt.days\ | |
pandas.Series.dt.days_in_month\ | |
pandas.Series.dt.daysinmonth\ | |
pandas.Series.dt.end_time\ | |
pandas.Series.dt.floor\ | |
pandas.Series.dt.hour\ | |
pandas.Series.dt.is_month_end\ | |
pandas.Series.dt.is_month_start\ | |
pandas.Series.dt.is_quarter_end\ | |
pandas.Series.dt.is_quarter_start\ | |
pandas.Series.dt.is_year_end\ | |
pandas.Series.dt.is_year_start\ | |
pandas.Series.dt.isocalendar\ | |
pandas.Series.dt.microsecond\ | |
pandas.Series.dt.microseconds\ | |
pandas.Series.dt.minute\ | |
pandas.Series.dt.month\ | |
pandas.Series.dt.month_name\ | |
pandas.Series.dt.nanosecond\ | |
pandas.Series.dt.nanoseconds\ | |
pandas.Series.dt.quarter\ | |
pandas.Series.dt.round\ | |
pandas.Series.dt.second\ | |
pandas.Series.dt.seconds\ | |
pandas.Series.dt.start_time\ | |
pandas.Series.dt.tz\ | |
pandas.Series.dt.tz_convert\ | |
pandas.Series.dt.year\ | |
pandas.Series.dtype\ | |
pandas.Series.dtypes\ | |
pandas.Series.expanding\ | |
pandas.Series.explode\ | |
pandas.Series.ffill\ | |
pandas.Series.fillna\ | |
pandas.Series.first_valid_index\ | |
pandas.Series.hist\ | |
pandas.Series.is_monotonic_decreasing\ | |
pandas.Series.is_monotonic_increasing\ | |
pandas.Series.is_unique\ | |
pandas.Series.item\ | |
pandas.Series.keys\ | |
pandas.Series.last_valid_index\ | |
pandas.Series.list.__getitem__\ | |
pandas.Series.list.flatten\ | |
pandas.Series.list.len\ | |
pandas.Series.mask\ | |
pandas.Series.mean\ | |
pandas.Series.median\ | |
pandas.Series.nbytes\ | |
pandas.Series.ndim\ | |
pandas.Series.nlargest\ | |
pandas.Series.nsmallest\ | |
pandas.Series.pipe\ | |
pandas.Series.pop\ | |
pandas.Series.prod\ | |
pandas.Series.product\ | |
pandas.Series.quantile\ | |
pandas.Series.rename_axis\ | |
pandas.Series.rolling\ | |
pandas.Series.round\ | |
pandas.Series.set_flags\ | |
pandas.Series.shape\ | |
pandas.Series.size\ | |
pandas.Series.sparse\ | |
pandas.Series.sparse.density\ | |
pandas.Series.sparse.from_coo\ | |
pandas.Series.sparse.npoints\ | |
pandas.Series.sparse.sp_values\ | |
pandas.Series.str.fullmatch\ | |
pandas.Series.str.match\ | |
pandas.Series.str.pad\ | |
pandas.Series.str.repeat\ | |
pandas.Series.str.slice\ | |
pandas.Series.str.slice_replace\ | |
pandas.Series.struct.dtypes\ | |
pandas.Series.struct.explode\ | |
pandas.Series.struct.field\ | |
pandas.Series.to_csv\ | |
pandas.Series.to_dict\ | |
pandas.Series.to_frame\ | |
pandas.Series.to_markdown\ | |
pandas.Series.to_numpy\ | |
pandas.Series.to_period\ | |
pandas.Series.to_pickle\ | |
pandas.Series.to_string\ | |
pandas.Series.to_timestamp\ | |
pandas.Series.to_xarray\ | |
pandas.Series.transform\ | |
pandas.Series.tz_convert\ | |
pandas.Series.unstack\ | |
pandas.Series.where\ | |
pandas.Timedelta.as_unit\ | |
pandas.Timedelta.ceil\ | |
pandas.Timedelta.components\ | |
pandas.Timedelta.days\ | |
pandas.Timedelta.floor\ | |
pandas.Timedelta.nanoseconds\ | |
pandas.Timedelta.round\ | |
pandas.Timedelta.to_timedelta64\ | |
pandas.Timedelta.total_seconds\ | |
pandas.Timedelta.view\ | |
pandas.TimedeltaIndex.as_unit\ | |
pandas.TimedeltaIndex.ceil\ | |
pandas.TimedeltaIndex.days\ | |
pandas.TimedeltaIndex.floor\ | |
pandas.TimedeltaIndex.mean\ | |
pandas.TimedeltaIndex.microseconds\ | |
pandas.TimedeltaIndex.nanoseconds\ | |
pandas.TimedeltaIndex.round\ | |
pandas.TimedeltaIndex.seconds\ | |
pandas.TimedeltaIndex.to_frame\ | |
pandas.TimedeltaIndex.to_pytimedelta\ | |
pandas.Timestamp.as_unit\ | |
pandas.Timestamp.asm8\ | |
pandas.Timestamp.astimezone\ | |
pandas.Timestamp.ceil\ | |
pandas.Timestamp.combine\ | |
pandas.Timestamp.ctime\ | |
pandas.Timestamp.date\ | |
pandas.Timestamp.day_name\ | |
pandas.Timestamp.day_of_week\ | |
pandas.Timestamp.day_of_year\ | |
pandas.Timestamp.dayofweek\ | |
pandas.Timestamp.dayofyear\ | |
pandas.Timestamp.days_in_month\ | |
pandas.Timestamp.daysinmonth\ | |
pandas.Timestamp.dst\ | |
pandas.Timestamp.floor\ | |
pandas.Timestamp.fromordinal\ | |
pandas.Timestamp.fromtimestamp\ | |
pandas.Timestamp.is_leap_year\ | |
pandas.Timestamp.is_month_end\ | |
pandas.Timestamp.is_month_start\ | |
pandas.Timestamp.is_quarter_end\ | |
pandas.Timestamp.is_quarter_start\ | |
pandas.Timestamp.is_year_end\ | |
pandas.Timestamp.is_year_start\ | |
pandas.Timestamp.isocalendar\ | |
pandas.Timestamp.month_name\ | |
pandas.Timestamp.normalize\ | |
pandas.Timestamp.now\ | |
pandas.Timestamp.quarter\ | |
pandas.Timestamp.replace\ | |
pandas.Timestamp.round\ | |
pandas.Timestamp.strftime\ | |
pandas.Timestamp.strptime\ | |
pandas.Timestamp.time\ | |
pandas.Timestamp.timestamp\ | |
pandas.Timestamp.timetuple\ | |
pandas.Timestamp.timetz\ | |
pandas.Timestamp.to_datetime64\ | |
pandas.Timestamp.to_period\ | |
pandas.Timestamp.toordinal\ | |
pandas.Timestamp.tz\ | |
pandas.Timestamp.tz_convert\ | |
pandas.Timestamp.tzname\ | |
pandas.Timestamp.unit\ | |
pandas.Timestamp.utcfromtimestamp\ | |
pandas.Timestamp.utcnow\ | |
pandas.Timestamp.utcoffset\ | |
pandas.Timestamp.utctimetuple\ | |
pandas.Timestamp.week\ | |
pandas.Timestamp.weekofyear\ | |
pandas.api.extensions.ExtensionArray._concat_same_type\ | |
pandas.api.extensions.ExtensionArray._from_factorized\ | |
pandas.api.extensions.ExtensionArray._from_sequence\ | |
pandas.api.extensions.ExtensionArray._from_sequence_of_strings\ | |
pandas.api.extensions.ExtensionArray._pad_or_backfill\ | |
pandas.api.extensions.ExtensionArray._reduce\ | |
pandas.api.extensions.ExtensionArray._values_for_argsort\ | |
pandas.api.extensions.ExtensionArray._values_for_factorize\ | |
pandas.api.extensions.ExtensionArray.argsort\ | |
pandas.api.extensions.ExtensionArray.astype\ | |
pandas.api.extensions.ExtensionArray.copy\ | |
pandas.api.extensions.ExtensionArray.dropna\ | |
pandas.api.extensions.ExtensionArray.dtype\ | |
pandas.api.extensions.ExtensionArray.duplicated\ | |
pandas.api.extensions.ExtensionArray.factorize\ | |
pandas.api.extensions.ExtensionArray.fillna\ | |
pandas.api.extensions.ExtensionArray.insert\ | |
pandas.api.extensions.ExtensionArray.interpolate\ | |
pandas.api.extensions.ExtensionArray.isna\ | |
pandas.api.extensions.ExtensionArray.nbytes\ | |
pandas.api.extensions.ExtensionArray.ndim\ | |
pandas.api.extensions.ExtensionArray.ravel\ | |
pandas.api.extensions.ExtensionArray.shape\ | |
pandas.api.extensions.ExtensionArray.take\ | |
pandas.api.extensions.ExtensionArray.unique\ | |
pandas.api.extensions.ExtensionArray.view\ | |
pandas.api.extensions.ExtensionDtype\ | |
pandas.api.extensions.register_dataframe_accessor\ | |
pandas.api.extensions.register_index_accessor\ | |
pandas.api.extensions.register_series_accessor\ | |
pandas.api.indexers.BaseIndexer\ | |
pandas.api.indexers.FixedForwardWindowIndexer\ | |
pandas.api.indexers.VariableOffsetWindowIndexer\ | |
pandas.api.interchange.from_dataframe\ | |
pandas.api.types.infer_dtype\ | |
pandas.api.types.is_any_real_numeric_dtype\ | |
pandas.api.types.is_bool\ | |
pandas.api.types.is_bool_dtype\ | |
pandas.api.types.is_categorical_dtype\ | |
pandas.api.types.is_complex\ | |
pandas.api.types.is_complex_dtype\ | |
pandas.api.types.is_datetime64_any_dtype\ | |
pandas.api.types.is_datetime64_dtype\ | |
pandas.api.types.is_datetime64_ns_dtype\ | |
pandas.api.types.is_datetime64tz_dtype\ | |
pandas.api.types.is_dict_like\ | |
pandas.api.types.is_float\ | |
pandas.api.types.is_float_dtype\ | |
pandas.api.types.is_integer\ | |
pandas.api.types.is_interval_dtype\ | |
pandas.api.types.is_named_tuple\ | |
pandas.api.types.is_numeric_dtype\ | |
pandas.api.types.is_object_dtype\ | |
pandas.api.types.is_period_dtype\ | |
pandas.api.types.is_re\ | |
pandas.api.types.is_re_compilable\ | |
pandas.api.types.is_scalar\ | |
pandas.api.types.is_timedelta64_dtype\ | |
pandas.api.types.pandas_dtype\ | |
pandas.array\ | |
pandas.arrays.IntervalArray\ | |
pandas.arrays.IntervalArray.from_arrays\ | |
pandas.arrays.IntervalArray.from_breaks\ | |
pandas.arrays.IntervalArray.from_tuples\ | |
pandas.arrays.IntervalArray.is_empty\ | |
pandas.arrays.IntervalArray.left\ | |
pandas.arrays.IntervalArray.length\ | |
pandas.arrays.IntervalArray.mid\ | |
pandas.arrays.IntervalArray.right\ | |
pandas.arrays.IntervalArray.set_closed\ | |
pandas.arrays.IntervalArray.to_tuples\ | |
pandas.arrays.SparseArray\ | |
pandas.bdate_range\ | |
pandas.core.groupby.DataFrameGroupBy.__iter__\ | |
pandas.core.groupby.DataFrameGroupBy.agg\ | |
pandas.core.groupby.DataFrameGroupBy.aggregate\ | |
pandas.core.groupby.DataFrameGroupBy.all\ | |
pandas.core.groupby.DataFrameGroupBy.any\ | |
pandas.core.groupby.DataFrameGroupBy.bfill\ | |
pandas.core.groupby.DataFrameGroupBy.boxplot\ | |
pandas.core.groupby.DataFrameGroupBy.corr\ | |
pandas.core.groupby.DataFrameGroupBy.count\ | |
pandas.core.groupby.DataFrameGroupBy.cummax\ | |
pandas.core.groupby.DataFrameGroupBy.cummin\ | |
pandas.core.groupby.DataFrameGroupBy.cumprod\ | |
pandas.core.groupby.DataFrameGroupBy.cumsum\ | |
pandas.core.groupby.DataFrameGroupBy.ffill\ | |
pandas.core.groupby.DataFrameGroupBy.get_group\ | |
pandas.core.groupby.DataFrameGroupBy.groups\ | |
pandas.core.groupby.DataFrameGroupBy.indices\ | |
pandas.core.groupby.DataFrameGroupBy.max\ | |
pandas.core.groupby.DataFrameGroupBy.mean\ | |
pandas.core.groupby.DataFrameGroupBy.min\ | |
pandas.core.groupby.DataFrameGroupBy.nunique\ | |
pandas.core.groupby.DataFrameGroupBy.pct_change\ | |
pandas.core.groupby.DataFrameGroupBy.prod\ | |
pandas.core.groupby.DataFrameGroupBy.quantile\ | |
pandas.core.groupby.DataFrameGroupBy.rank\ | |
pandas.core.groupby.DataFrameGroupBy.rolling\ | |
pandas.core.groupby.DataFrameGroupBy.size\ | |
pandas.core.groupby.DataFrameGroupBy.sum\ | |
pandas.core.groupby.SeriesGroupBy.__iter__\ | |
pandas.core.groupby.SeriesGroupBy.agg\ | |
pandas.core.groupby.SeriesGroupBy.aggregate\ | |
pandas.core.groupby.SeriesGroupBy.all\ | |
pandas.core.groupby.SeriesGroupBy.any\ | |
pandas.core.groupby.SeriesGroupBy.bfill\ | |
pandas.core.groupby.SeriesGroupBy.count\ | |
pandas.core.groupby.SeriesGroupBy.cummax\ | |
pandas.core.groupby.SeriesGroupBy.cummin\ | |
pandas.core.groupby.SeriesGroupBy.cumprod\ | |
pandas.core.groupby.SeriesGroupBy.cumsum\ | |
pandas.core.groupby.SeriesGroupBy.ffill\ | |
pandas.core.groupby.SeriesGroupBy.get_group\ | |
pandas.core.groupby.SeriesGroupBy.groups\ | |
pandas.core.groupby.SeriesGroupBy.hist\ | |
pandas.core.groupby.SeriesGroupBy.indices\ | |
pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing\ | |
pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing\ | |
pandas.core.groupby.SeriesGroupBy.max\ | |
pandas.core.groupby.SeriesGroupBy.mean\ | |
pandas.core.groupby.SeriesGroupBy.min\ | |
pandas.core.groupby.SeriesGroupBy.nlargest\ | |
pandas.core.groupby.SeriesGroupBy.nsmallest\ | |
pandas.core.groupby.SeriesGroupBy.nunique\ | |
pandas.core.groupby.SeriesGroupBy.pct_change\ | |
pandas.core.groupby.SeriesGroupBy.prod\ | |
pandas.core.groupby.SeriesGroupBy.quantile\ | |
pandas.core.groupby.SeriesGroupBy.rank\ | |
pandas.core.groupby.SeriesGroupBy.rolling\ | |
pandas.core.groupby.SeriesGroupBy.size\ | |
pandas.core.groupby.SeriesGroupBy.sum\ | |
pandas.core.resample.Resampler.__iter__\ | |
pandas.core.resample.Resampler.aggregate\ | |
pandas.core.resample.Resampler.apply\ | |
pandas.core.resample.Resampler.asfreq\ | |
pandas.core.resample.Resampler.count\ | |
pandas.core.resample.Resampler.ffill\ | |
pandas.core.resample.Resampler.get_group\ | |
pandas.core.resample.Resampler.groups\ | |
pandas.core.resample.Resampler.indices\ | |
pandas.core.resample.Resampler.max\ | |
pandas.core.resample.Resampler.mean\ | |
pandas.core.resample.Resampler.min\ | |
pandas.core.resample.Resampler.nunique\ | |
pandas.core.resample.Resampler.prod\ | |
pandas.core.resample.Resampler.quantile\ | |
pandas.core.resample.Resampler.size\ | |
pandas.core.resample.Resampler.std\ | |
pandas.core.resample.Resampler.sum\ | |
pandas.core.resample.Resampler.var\ | |
pandas.core.window.ewm.ExponentialMovingWindow.corr\ | |
pandas.core.window.ewm.ExponentialMovingWindow.cov\ | |
pandas.core.window.ewm.ExponentialMovingWindow.mean\ | |
pandas.core.window.ewm.ExponentialMovingWindow.std\ | |
pandas.core.window.ewm.ExponentialMovingWindow.sum\ | |
pandas.core.window.ewm.ExponentialMovingWindow.var\ | |
pandas.core.window.expanding.Expanding.aggregate\ | |
pandas.core.window.expanding.Expanding.apply\ | |
pandas.core.window.expanding.Expanding.corr\ | |
pandas.core.window.expanding.Expanding.count\ | |
pandas.core.window.expanding.Expanding.cov\ | |
pandas.core.window.expanding.Expanding.kurt\ | |
pandas.core.window.expanding.Expanding.max\ | |
pandas.core.window.expanding.Expanding.mean\ | |
pandas.core.window.expanding.Expanding.median\ | |
pandas.core.window.expanding.Expanding.min\ | |
pandas.core.window.expanding.Expanding.quantile\ | |
pandas.core.window.expanding.Expanding.sem\ | |
pandas.core.window.expanding.Expanding.skew\ | |
pandas.core.window.expanding.Expanding.std\ | |
pandas.core.window.expanding.Expanding.sum\ | |
pandas.core.window.expanding.Expanding.var\ | |
pandas.core.window.rolling.Rolling.aggregate\ | |
pandas.core.window.rolling.Rolling.apply\ | |
pandas.core.window.rolling.Rolling.corr\ | |
pandas.core.window.rolling.Rolling.count\ | |
pandas.core.window.rolling.Rolling.cov\ | |
pandas.core.window.rolling.Rolling.kurt\ | |
pandas.core.window.rolling.Rolling.max\ | |
pandas.core.window.rolling.Rolling.mean\ | |
pandas.core.window.rolling.Rolling.median\ | |
pandas.core.window.rolling.Rolling.min\ | |
pandas.core.window.rolling.Rolling.quantile\ | |
pandas.core.window.rolling.Rolling.sem\ | |
pandas.core.window.rolling.Rolling.skew\ | |
pandas.core.window.rolling.Rolling.std\ | |
pandas.core.window.rolling.Rolling.sum\ | |
pandas.core.window.rolling.Rolling.var\ | |
pandas.core.window.rolling.Window.mean\ | |
pandas.core.window.rolling.Window.std\ | |
pandas.core.window.rolling.Window.sum\ | |
pandas.core.window.rolling.Window.var\ | |
pandas.errors.AbstractMethodError\ | |
pandas.errors.CategoricalConversionWarning\ | |
pandas.errors.ClosedFileError\ | |
pandas.errors.DuplicateLabelError\ | |
pandas.errors.EmptyDataError\ | |
pandas.errors.IntCastingNaNError\ | |
pandas.errors.InvalidIndexError\ | |
pandas.errors.InvalidVersion\ | |
pandas.errors.NumbaUtilError\ | |
pandas.errors.OutOfBoundsDatetime\ | |
pandas.errors.PerformanceWarning\ | |
pandas.errors.PossibleDataLossError\ | |
pandas.errors.ValueLabelTypeMismatch\ | |
pandas.infer_freq\ | |
pandas.interval_range\ | |
pandas.io.formats.style.Styler\ | |
pandas.io.formats.style.Styler.format\ | |
pandas.io.formats.style.Styler.highlight_max\ | |
pandas.io.formats.style.Styler.highlight_min\ | |
pandas.io.formats.style.Styler.highlight_null\ | |
pandas.io.formats.style.Styler.pipe\ | |
pandas.io.formats.style.Styler.set_caption\ | |
pandas.io.formats.style.Styler.set_properties\ | |
pandas.io.formats.style.Styler.set_sticky\ | |
pandas.io.formats.style.Styler.set_td_classes\ | |
pandas.io.formats.style.Styler.set_uuid\ | |
pandas.io.json.build_table_schema\ | |
pandas.io.stata.StataReader.data_label\ | |
pandas.io.stata.StataReader.value_labels\ | |
pandas.io.stata.StataReader.variable_labels\ | |
pandas.io.stata.StataWriter.write_file\ | |
pandas.json_normalize\ | |
pandas.plotting.autocorrelation_plot\ | |
pandas.plotting.lag_plot\ | |
pandas.plotting.parallel_coordinates\ | |
pandas.plotting.scatter_matrix\ | |
pandas.plotting.table\ | |
pandas.read_feather\ | |
pandas.read_html\ | |
pandas.read_json\ | |
pandas.read_orc\ | |
pandas.read_sas\ | |
pandas.read_spss\ | |
pandas.read_stata\ | |
pandas.set_eng_float_format\ | |
pandas.testing.assert_extension_array_equal\ | |
pandas.testing.assert_index_equal\ | |
pandas.testing.assert_series_equal\ | |
pandas.timedelta_range\ | |
pandas.tseries.api.guess_datetime_format\ | |
pandas.tseries.frequencies.to_offset\ | |
pandas.tseries.offsets.BDay\ | |
pandas.tseries.offsets.BQuarterBegin.copy\ | |
pandas.tseries.offsets.BQuarterBegin.freqstr\ | |
pandas.tseries.offsets.BQuarterBegin.is_month_end\ | |
pandas.tseries.offsets.BQuarterBegin.is_month_start\ | |
pandas.tseries.offsets.BQuarterBegin.is_quarter_end\ | |
pandas.tseries.offsets.BQuarterBegin.is_quarter_start\ | |
pandas.tseries.offsets.BQuarterBegin.is_year_end\ | |
pandas.tseries.offsets.BQuarterBegin.is_year_start\ | |
pandas.tseries.offsets.BQuarterBegin.kwds\ | |
pandas.tseries.offsets.BQuarterBegin.name\ | |
pandas.tseries.offsets.BQuarterEnd.copy\ | |
pandas.tseries.offsets.BQuarterEnd.freqstr\ | |
pandas.tseries.offsets.BQuarterEnd.is_month_end\ | |
pandas.tseries.offsets.BQuarterEnd.is_month_start\ | |
pandas.tseries.offsets.BQuarterEnd.is_quarter_end\ | |
pandas.tseries.offsets.BQuarterEnd.is_quarter_start\ | |
pandas.tseries.offsets.BQuarterEnd.is_year_end\ | |
pandas.tseries.offsets.BQuarterEnd.is_year_start\ | |
pandas.tseries.offsets.BQuarterEnd.kwds\ | |
pandas.tseries.offsets.BQuarterEnd.name\ | |
pandas.tseries.offsets.BYearBegin\ | |
pandas.tseries.offsets.BYearBegin.copy\ | |
pandas.tseries.offsets.BYearBegin.freqstr\ | |
pandas.tseries.offsets.BYearBegin.is_month_end\ | |
pandas.tseries.offsets.BYearBegin.is_month_start\ | |
pandas.tseries.offsets.BYearBegin.is_quarter_end\ | |
pandas.tseries.offsets.BYearBegin.is_quarter_start\ | |
pandas.tseries.offsets.BYearBegin.is_year_end\ | |
pandas.tseries.offsets.BYearBegin.is_year_start\ | |
pandas.tseries.offsets.BYearBegin.kwds\ | |
pandas.tseries.offsets.BYearBegin.name\ | |
pandas.tseries.offsets.BYearEnd\ | |
pandas.tseries.offsets.BYearEnd.copy\ | |
pandas.tseries.offsets.BYearEnd.freqstr\ | |
pandas.tseries.offsets.BYearEnd.is_month_end\ | |
pandas.tseries.offsets.BYearEnd.is_month_start\ | |
pandas.tseries.offsets.BYearEnd.is_quarter_end\ | |
pandas.tseries.offsets.BYearEnd.is_quarter_start\ | |
pandas.tseries.offsets.BYearEnd.is_year_end\ | |
pandas.tseries.offsets.BYearEnd.is_year_start\ | |
pandas.tseries.offsets.BYearEnd.kwds\ | |
pandas.tseries.offsets.BYearEnd.name\ | |
pandas.tseries.offsets.BusinessDay\ | |
pandas.tseries.offsets.BusinessDay.copy\ | |
pandas.tseries.offsets.BusinessDay.freqstr\ | |
pandas.tseries.offsets.BusinessDay.is_month_end\ | |
pandas.tseries.offsets.BusinessDay.is_month_start\ | |
pandas.tseries.offsets.BusinessDay.is_quarter_end\ | |
pandas.tseries.offsets.BusinessDay.is_quarter_start\ | |
pandas.tseries.offsets.BusinessDay.is_year_end\ | |
pandas.tseries.offsets.BusinessDay.is_year_start\ | |
pandas.tseries.offsets.BusinessDay.kwds\ | |
pandas.tseries.offsets.BusinessDay.name\ | |
pandas.tseries.offsets.BusinessHour\ | |
pandas.tseries.offsets.BusinessHour.copy\ | |
pandas.tseries.offsets.BusinessHour.freqstr\ | |
pandas.tseries.offsets.BusinessHour.is_month_end\ | |
pandas.tseries.offsets.BusinessHour.is_month_start\ | |
pandas.tseries.offsets.BusinessHour.is_quarter_end\ | |
pandas.tseries.offsets.BusinessHour.is_quarter_start\ | |
pandas.tseries.offsets.BusinessHour.is_year_end\ | |
pandas.tseries.offsets.BusinessHour.is_year_start\ | |
pandas.tseries.offsets.BusinessHour.kwds\ | |
pandas.tseries.offsets.BusinessHour.name\ | |
pandas.tseries.offsets.BusinessMonthBegin.copy\ | |
pandas.tseries.offsets.BusinessMonthBegin.freqstr\ | |
pandas.tseries.offsets.BusinessMonthBegin.is_month_end\ | |
pandas.tseries.offsets.BusinessMonthBegin.is_month_start\ | |
pandas.tseries.offsets.BusinessMonthBegin.is_quarter_end\ | |
pandas.tseries.offsets.BusinessMonthBegin.is_quarter_start\ | |
pandas.tseries.offsets.BusinessMonthBegin.is_year_end\ | |
pandas.tseries.offsets.BusinessMonthBegin.is_year_start\ | |
pandas.tseries.offsets.BusinessMonthBegin.kwds\ | |
pandas.tseries.offsets.BusinessMonthBegin.name\ | |
pandas.tseries.offsets.BusinessMonthEnd.copy\ | |
pandas.tseries.offsets.BusinessMonthEnd.freqstr\ | |
pandas.tseries.offsets.BusinessMonthEnd.is_month_end\ | |
pandas.tseries.offsets.BusinessMonthEnd.is_month_start\ | |
pandas.tseries.offsets.BusinessMonthEnd.is_quarter_end\ | |
pandas.tseries.offsets.BusinessMonthEnd.is_quarter_start\ | |
pandas.tseries.offsets.BusinessMonthEnd.is_year_end\ | |
pandas.tseries.offsets.BusinessMonthEnd.is_year_start\ | |
pandas.tseries.offsets.BusinessMonthEnd.kwds\ | |
pandas.tseries.offsets.BusinessMonthEnd.name\ | |
pandas.tseries.offsets.CustomBusinessDay.copy\ | |
pandas.tseries.offsets.CustomBusinessDay.freqstr\ | |
pandas.tseries.offsets.CustomBusinessDay.is_month_end\ | |
pandas.tseries.offsets.CustomBusinessDay.is_month_start\ | |
pandas.tseries.offsets.CustomBusinessDay.is_quarter_end\ | |
pandas.tseries.offsets.CustomBusinessDay.is_quarter_start\ | |
pandas.tseries.offsets.CustomBusinessDay.is_year_end\ | |
pandas.tseries.offsets.CustomBusinessDay.is_year_start\ | |
pandas.tseries.offsets.CustomBusinessDay.kwds\ | |
pandas.tseries.offsets.CustomBusinessDay.name\ | |
pandas.tseries.offsets.CustomBusinessHour.copy\ | |
pandas.tseries.offsets.CustomBusinessHour.freqstr\ | |
pandas.tseries.offsets.CustomBusinessHour.is_month_end\ | |
pandas.tseries.offsets.CustomBusinessHour.is_month_start\ | |
pandas.tseries.offsets.CustomBusinessHour.is_quarter_end\ | |
pandas.tseries.offsets.CustomBusinessHour.is_quarter_start\ | |
pandas.tseries.offsets.CustomBusinessHour.is_year_end\ | |
pandas.tseries.offsets.CustomBusinessHour.is_year_start\ | |
pandas.tseries.offsets.CustomBusinessHour.kwds\ | |
pandas.tseries.offsets.CustomBusinessHour.name\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin.copy\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin.freqstr\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_end\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_start\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin.is_on_offset\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_end\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_start\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_end\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_start\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin.kwds\ | |
pandas.tseries.offsets.CustomBusinessMonthBegin.name\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd.copy\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd.freqstr\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_end\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_start\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd.is_on_offset\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_end\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_start\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_end\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_start\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd.kwds\ | |
pandas.tseries.offsets.CustomBusinessMonthEnd.name\ | |
pandas.tseries.offsets.DateOffset.copy\ | |
pandas.tseries.offsets.DateOffset.freqstr\ | |
pandas.tseries.offsets.DateOffset.is_month_end\ | |
pandas.tseries.offsets.DateOffset.is_month_start\ | |
pandas.tseries.offsets.DateOffset.is_quarter_end\ | |
pandas.tseries.offsets.DateOffset.is_quarter_start\ | |
pandas.tseries.offsets.DateOffset.is_year_end\ | |
pandas.tseries.offsets.DateOffset.is_year_start\ | |
pandas.tseries.offsets.DateOffset.kwds\ | |
pandas.tseries.offsets.DateOffset.name\ | |
pandas.tseries.offsets.Day\ | |
pandas.tseries.offsets.Day.copy\ | |
pandas.tseries.offsets.Day.freqstr\ | |
pandas.tseries.offsets.Day.is_month_end\ | |
pandas.tseries.offsets.Day.is_month_start\ | |
pandas.tseries.offsets.Day.is_quarter_end\ | |
pandas.tseries.offsets.Day.is_quarter_start\ | |
pandas.tseries.offsets.Day.is_year_end\ | |
pandas.tseries.offsets.Day.is_year_start\ | |
pandas.tseries.offsets.Day.kwds\ | |
pandas.tseries.offsets.Day.name\ | |
pandas.tseries.offsets.Day.nanos\ | |
pandas.tseries.offsets.Easter.copy\ | |
pandas.tseries.offsets.Easter.freqstr\ | |
pandas.tseries.offsets.Easter.is_month_end\ | |
pandas.tseries.offsets.Easter.is_month_start\ | |
pandas.tseries.offsets.Easter.is_quarter_end\ | |
pandas.tseries.offsets.Easter.is_quarter_start\ | |
pandas.tseries.offsets.Easter.is_year_end\ | |
pandas.tseries.offsets.Easter.is_year_start\ | |
pandas.tseries.offsets.Easter.kwds\ | |
pandas.tseries.offsets.Easter.name\ | |
pandas.tseries.offsets.FY5253.copy\ | |
pandas.tseries.offsets.FY5253.freqstr\ | |
pandas.tseries.offsets.FY5253.is_month_end\ | |
pandas.tseries.offsets.FY5253.is_month_start\ | |
pandas.tseries.offsets.FY5253.is_quarter_end\ | |
pandas.tseries.offsets.FY5253.is_quarter_start\ | |
pandas.tseries.offsets.FY5253.is_year_end\ | |
pandas.tseries.offsets.FY5253.is_year_start\ | |
pandas.tseries.offsets.FY5253.kwds\ | |
pandas.tseries.offsets.FY5253.name\ | |
pandas.tseries.offsets.FY5253Quarter.copy\ | |
pandas.tseries.offsets.FY5253Quarter.freqstr\ | |
pandas.tseries.offsets.FY5253Quarter.is_month_end\ | |
pandas.tseries.offsets.FY5253Quarter.is_month_start\ | |
pandas.tseries.offsets.FY5253Quarter.is_quarter_end\ | |
pandas.tseries.offsets.FY5253Quarter.is_quarter_start\ | |
pandas.tseries.offsets.FY5253Quarter.is_year_end\ | |
pandas.tseries.offsets.FY5253Quarter.is_year_start\ | |
pandas.tseries.offsets.FY5253Quarter.kwds\ | |
pandas.tseries.offsets.FY5253Quarter.name\ | |
pandas.tseries.offsets.Hour\ | |
pandas.tseries.offsets.Hour.copy\ | |
pandas.tseries.offsets.Hour.freqstr\ | |
pandas.tseries.offsets.Hour.is_month_end\ | |
pandas.tseries.offsets.Hour.is_month_start\ | |
pandas.tseries.offsets.Hour.is_quarter_end\ | |
pandas.tseries.offsets.Hour.is_quarter_start\ | |
pandas.tseries.offsets.Hour.is_year_end\ | |
pandas.tseries.offsets.Hour.is_year_start\ | |
pandas.tseries.offsets.Hour.kwds\ | |
pandas.tseries.offsets.Hour.name\ | |
pandas.tseries.offsets.Hour.nanos\ | |
pandas.tseries.offsets.LastWeekOfMonth.copy\ | |
pandas.tseries.offsets.LastWeekOfMonth.freqstr\ | |
pandas.tseries.offsets.LastWeekOfMonth.is_month_end\ | |
pandas.tseries.offsets.LastWeekOfMonth.is_month_start\ | |
pandas.tseries.offsets.LastWeekOfMonth.is_quarter_end\ | |
pandas.tseries.offsets.LastWeekOfMonth.is_quarter_start\ | |
pandas.tseries.offsets.LastWeekOfMonth.is_year_end\ | |
pandas.tseries.offsets.LastWeekOfMonth.is_year_start\ | |
pandas.tseries.offsets.LastWeekOfMonth.kwds\ | |
pandas.tseries.offsets.LastWeekOfMonth.name\ | |
pandas.tseries.offsets.Micro\ | |
pandas.tseries.offsets.Micro.copy\ | |
pandas.tseries.offsets.Micro.freqstr\ | |
pandas.tseries.offsets.Micro.is_month_end\ | |
pandas.tseries.offsets.Micro.is_month_start\ | |
pandas.tseries.offsets.Micro.is_quarter_end\ | |
pandas.tseries.offsets.Micro.is_quarter_start\ | |
pandas.tseries.offsets.Micro.is_year_end\ | |
pandas.tseries.offsets.Micro.is_year_start\ | |
pandas.tseries.offsets.Micro.kwds\ | |
pandas.tseries.offsets.Micro.name\ | |
pandas.tseries.offsets.Micro.nanos\ | |
pandas.tseries.offsets.Milli\ | |
pandas.tseries.offsets.Milli.copy\ | |
pandas.tseries.offsets.Milli.freqstr\ | |
pandas.tseries.offsets.Milli.is_month_end\ | |
pandas.tseries.offsets.Milli.is_month_start\ | |
pandas.tseries.offsets.Milli.is_quarter_end\ | |
pandas.tseries.offsets.Milli.is_quarter_start\ | |
pandas.tseries.offsets.Milli.is_year_end\ | |
pandas.tseries.offsets.Milli.is_year_start\ | |
pandas.tseries.offsets.Milli.kwds\ | |
pandas.tseries.offsets.Milli.name\ | |
pandas.tseries.offsets.Milli.nanos\ | |
pandas.tseries.offsets.Minute\ | |
pandas.tseries.offsets.Minute.copy\ | |
pandas.tseries.offsets.Minute.freqstr\ | |
pandas.tseries.offsets.Minute.is_month_end\ | |
pandas.tseries.offsets.Minute.is_month_start\ | |
pandas.tseries.offsets.Minute.is_quarter_end\ | |
pandas.tseries.offsets.Minute.is_quarter_start\ | |
pandas.tseries.offsets.Minute.is_year_end\ | |
pandas.tseries.offsets.Minute.is_year_start\ | |
pandas.tseries.offsets.Minute.kwds\ | |
pandas.tseries.offsets.Minute.name\ | |
pandas.tseries.offsets.Minute.nanos\ | |
pandas.tseries.offsets.MonthBegin.copy\ | |
pandas.tseries.offsets.MonthBegin.freqstr\ | |
pandas.tseries.offsets.MonthBegin.is_month_end\ | |
pandas.tseries.offsets.MonthBegin.is_month_start\ | |
pandas.tseries.offsets.MonthBegin.is_quarter_end\ | |
pandas.tseries.offsets.MonthBegin.is_quarter_start\ | |
pandas.tseries.offsets.MonthBegin.is_year_end\ | |
pandas.tseries.offsets.MonthBegin.is_year_start\ | |
pandas.tseries.offsets.MonthBegin.kwds\ | |
pandas.tseries.offsets.MonthBegin.name\ | |
pandas.tseries.offsets.MonthEnd.copy\ | |
pandas.tseries.offsets.MonthEnd.freqstr\ | |
pandas.tseries.offsets.MonthEnd.is_month_end\ | |
pandas.tseries.offsets.MonthEnd.is_month_start\ | |
pandas.tseries.offsets.MonthEnd.is_quarter_end\ | |
pandas.tseries.offsets.MonthEnd.is_quarter_start\ | |
pandas.tseries.offsets.MonthEnd.is_year_end\ | |
pandas.tseries.offsets.MonthEnd.is_year_start\ | |
pandas.tseries.offsets.MonthEnd.kwds\ | |
pandas.tseries.offsets.MonthEnd.name\ | |
pandas.tseries.offsets.Nano\ | |
pandas.tseries.offsets.Nano.copy\ | |
pandas.tseries.offsets.Nano.freqstr\ | |
pandas.tseries.offsets.Nano.is_month_end\ | |
pandas.tseries.offsets.Nano.is_month_start\ | |
pandas.tseries.offsets.Nano.is_quarter_end\ | |
pandas.tseries.offsets.Nano.is_quarter_start\ | |
pandas.tseries.offsets.Nano.is_year_end\ | |
pandas.tseries.offsets.Nano.is_year_start\ | |
pandas.tseries.offsets.Nano.kwds\ | |
pandas.tseries.offsets.Nano.name\ | |
pandas.tseries.offsets.Nano.nanos\ | |
pandas.tseries.offsets.QuarterBegin.copy\ | |
pandas.tseries.offsets.QuarterBegin.freqstr\ | |
pandas.tseries.offsets.QuarterBegin.is_month_end\ | |
pandas.tseries.offsets.QuarterBegin.is_month_start\ | |
pandas.tseries.offsets.QuarterBegin.is_quarter_end\ | |
pandas.tseries.offsets.QuarterBegin.is_quarter_start\ | |
pandas.tseries.offsets.QuarterBegin.is_year_end\ | |
pandas.tseries.offsets.QuarterBegin.is_year_start\ | |
pandas.tseries.offsets.QuarterBegin.kwds\ | |
pandas.tseries.offsets.QuarterBegin.name\ | |
pandas.tseries.offsets.QuarterEnd.copy\ | |
pandas.tseries.offsets.QuarterEnd.freqstr\ | |
pandas.tseries.offsets.QuarterEnd.is_month_end\ | |
pandas.tseries.offsets.QuarterEnd.is_month_start\ | |
pandas.tseries.offsets.QuarterEnd.is_quarter_end\ | |
pandas.tseries.offsets.QuarterEnd.is_quarter_start\ | |
pandas.tseries.offsets.QuarterEnd.is_year_end\ | |
pandas.tseries.offsets.QuarterEnd.is_year_start\ | |
pandas.tseries.offsets.QuarterEnd.kwds\ | |
pandas.tseries.offsets.QuarterEnd.name\ | |
pandas.tseries.offsets.Second\ | |
pandas.tseries.offsets.Second.copy\ | |
pandas.tseries.offsets.Second.freqstr\ | |
pandas.tseries.offsets.Second.is_month_end\ | |
pandas.tseries.offsets.Second.is_month_start\ | |
pandas.tseries.offsets.Second.is_quarter_end\ | |
pandas.tseries.offsets.Second.is_quarter_start\ | |
pandas.tseries.offsets.Second.is_year_end\ | |
pandas.tseries.offsets.Second.is_year_start\ | |
pandas.tseries.offsets.Second.kwds\ | |
pandas.tseries.offsets.Second.name\ | |
pandas.tseries.offsets.Second.nanos\ | |
pandas.tseries.offsets.SemiMonthBegin\ | |
pandas.tseries.offsets.SemiMonthBegin.copy\ | |
pandas.tseries.offsets.SemiMonthBegin.freqstr\ | |
pandas.tseries.offsets.SemiMonthBegin.is_month_end\ | |
pandas.tseries.offsets.SemiMonthBegin.is_month_start\ | |
pandas.tseries.offsets.SemiMonthBegin.is_quarter_end\ | |
pandas.tseries.offsets.SemiMonthBegin.is_quarter_start\ | |
pandas.tseries.offsets.SemiMonthBegin.is_year_end\ | |
pandas.tseries.offsets.SemiMonthBegin.is_year_start\ | |
pandas.tseries.offsets.SemiMonthBegin.kwds\ | |
pandas.tseries.offsets.SemiMonthBegin.name\ | |
pandas.tseries.offsets.SemiMonthEnd\ | |
pandas.tseries.offsets.SemiMonthEnd.copy\ | |
pandas.tseries.offsets.SemiMonthEnd.freqstr\ | |
pandas.tseries.offsets.SemiMonthEnd.is_month_end\ | |
pandas.tseries.offsets.SemiMonthEnd.is_month_start\ | |
pandas.tseries.offsets.SemiMonthEnd.is_quarter_end\ | |
pandas.tseries.offsets.SemiMonthEnd.is_quarter_start\ | |
pandas.tseries.offsets.SemiMonthEnd.is_year_end\ | |
pandas.tseries.offsets.SemiMonthEnd.is_year_start\ | |
pandas.tseries.offsets.SemiMonthEnd.kwds\ | |
pandas.tseries.offsets.SemiMonthEnd.name\ | |
pandas.tseries.offsets.Tick.copy\ | |
pandas.tseries.offsets.Tick.freqstr\ | |
pandas.tseries.offsets.Tick.is_month_end\ | |
pandas.tseries.offsets.Tick.is_month_start\ | |
pandas.tseries.offsets.Tick.is_quarter_end\ | |
pandas.tseries.offsets.Tick.is_quarter_start\ | |
pandas.tseries.offsets.Tick.is_year_end\ | |
pandas.tseries.offsets.Tick.is_year_start\ | |
pandas.tseries.offsets.Tick.kwds\ | |
pandas.tseries.offsets.Tick.name\ | |
pandas.tseries.offsets.Tick.nanos\ | |
pandas.tseries.offsets.Week\ | |
pandas.tseries.offsets.Week.copy\ | |
pandas.tseries.offsets.Week.freqstr\ | |
pandas.tseries.offsets.Week.is_month_end\ | |
pandas.tseries.offsets.Week.is_month_start\ | |
pandas.tseries.offsets.Week.is_quarter_end\ | |
pandas.tseries.offsets.Week.is_quarter_start\ | |
pandas.tseries.offsets.Week.is_year_end\ | |
pandas.tseries.offsets.Week.is_year_start\ | |
pandas.tseries.offsets.Week.kwds\ | |
pandas.tseries.offsets.Week.name\ | |
pandas.tseries.offsets.WeekOfMonth\ | |
pandas.tseries.offsets.WeekOfMonth.copy\ | |
pandas.tseries.offsets.WeekOfMonth.freqstr\ | |
pandas.tseries.offsets.WeekOfMonth.is_month_end\ | |
pandas.tseries.offsets.WeekOfMonth.is_month_start\ | |
pandas.tseries.offsets.WeekOfMonth.is_quarter_end\ | |
pandas.tseries.offsets.WeekOfMonth.is_quarter_start\ | |
pandas.tseries.offsets.WeekOfMonth.is_year_end\ | |
pandas.tseries.offsets.WeekOfMonth.is_year_start\ | |
pandas.tseries.offsets.WeekOfMonth.kwds\ | |
pandas.tseries.offsets.WeekOfMonth.name\ | |
pandas.tseries.offsets.YearBegin.copy\ | |
pandas.tseries.offsets.YearBegin.freqstr\ | |
pandas.tseries.offsets.YearBegin.is_month_end\ | |
pandas.tseries.offsets.YearBegin.is_month_start\ | |
pandas.tseries.offsets.YearBegin.is_quarter_end\ | |
pandas.tseries.offsets.YearBegin.is_quarter_start\ | |
pandas.tseries.offsets.YearBegin.is_year_end\ | |
pandas.tseries.offsets.YearBegin.is_year_start\ | |
pandas.tseries.offsets.YearBegin.kwds\ | |
pandas.tseries.offsets.YearBegin.name\ | |
pandas.tseries.offsets.YearEnd.copy\ | |
pandas.tseries.offsets.YearEnd.freqstr\ | |
pandas.tseries.offsets.YearEnd.is_month_end\ | |
pandas.tseries.offsets.YearEnd.is_month_start\ | |
pandas.tseries.offsets.YearEnd.is_quarter_end\ | |
pandas.tseries.offsets.YearEnd.is_quarter_start\ | |
pandas.tseries.offsets.YearEnd.is_year_end\ | |
pandas.tseries.offsets.YearEnd.is_year_start\ | |
pandas.tseries.offsets.YearEnd.kwds\ | |
pandas.tseries.offsets.YearEnd.name\ | |
pandas.util.hash_array\ | |
pandas.util.hash_pandas_object # There should be no backslash in the final line, please keep this comment in the last ignored function | |
RET=$(($RET + $?)) ; echo $MSG "DONE" |
Currently, some methods fail the ES01 check.
The task here is:
- take 2-4 methods
- run: scripts/validate_docstrings.py --format=actions --errors=ES01
method-name
- check if validation docstrings passes for those methods, and if it’s necessary fix the docstrings according to whatever error is reported
- remove those methods from code_checks.sh
- commit, push, open pull request
Please don't comment take as multiple people can work on this issue. You also don't need to ask for permission to work on this, just comment on which methods are you going to work.
If you're new contributor, please check the contributing guide