@@ -70,15 +70,9 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
7070 --format=actions \
7171 -i ES01 ` # For now it is ok if docstrings are missing the extended summary` \
7272 -i " pandas.Series.dt PR01" ` # Accessors are implemented as classes, but we do not document the Parameters section` \
73- -i " pandas.NA SA01" \
7473 -i " pandas.Period.freq GL08" \
7574 -i " pandas.Period.ordinal GL08" \
76- -i " pandas.Period.to_timestamp SA01" \
77- -i " pandas.PeriodDtype.freq SA01" \
7875 -i " pandas.RangeIndex.from_range PR01,SA01" \
79- -i " pandas.RangeIndex.start SA01" \
80- -i " pandas.RangeIndex.step SA01" \
81- -i " pandas.RangeIndex.stop SA01" \
8276 -i " pandas.Series.cat.add_categories PR01,PR02" \
8377 -i " pandas.Series.cat.as_ordered PR01" \
8478 -i " pandas.Series.cat.as_unordered PR01" \
@@ -93,10 +87,8 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
9387 -i " pandas.Series.dt.floor PR01,PR02" \
9488 -i " pandas.Series.dt.freq GL08" \
9589 -i " pandas.Series.dt.month_name PR01,PR02" \
96- -i " pandas.Series.dt.nanoseconds SA01" \
9790 -i " pandas.Series.dt.normalize PR01" \
9891 -i " pandas.Series.dt.round PR01,PR02" \
99- -i " pandas.Series.dt.seconds SA01" \
10092 -i " pandas.Series.dt.strftime PR01,PR02" \
10193 -i " pandas.Series.dt.to_period PR01,PR02" \
10294 -i " pandas.Series.dt.total_seconds PR01" \
@@ -105,96 +97,50 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
10597 -i " pandas.Series.dt.unit GL08" \
10698 -i " pandas.Series.pad PR01,SA01" \
10799 -i " pandas.Series.sparse.from_coo PR07,SA01" \
108- -i " pandas.Series.sparse.npoints SA01" \
109- -i " pandas.Series.sparse.sp_values SA01" \
110- -i " pandas.Timedelta.components SA01" \
111100 -i " pandas.Timedelta.max PR02" \
112101 -i " pandas.Timedelta.min PR02" \
113102 -i " pandas.Timedelta.resolution PR02" \
114- -i " pandas.Timedelta.to_timedelta64 SA01" \
115- -i " pandas.Timedelta.total_seconds SA01" \
116- -i " pandas.Timedelta.view SA01" \
117- -i " pandas.TimedeltaIndex.nanoseconds SA01" \
118- -i " pandas.TimedeltaIndex.seconds SA01" \
119- -i " pandas.TimedeltaIndex.to_pytimedelta RT03,SA01" \
120103 -i " pandas.Timestamp.max PR02" \
121104 -i " pandas.Timestamp.min PR02" \
122105 -i " pandas.Timestamp.nanosecond GL08" \
123106 -i " pandas.Timestamp.resolution PR02" \
124107 -i " pandas.Timestamp.tzinfo GL08" \
125108 -i " pandas.Timestamp.year GL08" \
126- -i " pandas.api.extensions.ExtensionArray.interpolate PR01,SA01" \
127- -i " pandas.api.types.is_bool PR01,SA01" \
128- -i " pandas.api.types.is_categorical_dtype SA01" \
129- -i " pandas.api.types.is_complex PR01,SA01" \
130- -i " pandas.api.types.is_complex_dtype SA01" \
131- -i " pandas.api.types.is_datetime64_dtype SA01" \
132- -i " pandas.api.types.is_datetime64_ns_dtype SA01" \
133- -i " pandas.api.types.is_datetime64tz_dtype SA01" \
134- -i " pandas.api.types.is_dict_like PR07,SA01" \
135- -i " pandas.api.types.is_extension_array_dtype SA01" \
136- -i " pandas.api.types.is_file_like PR07,SA01" \
137109 -i " pandas.api.types.is_float PR01,SA01" \
138- -i " pandas.api.types.is_float_dtype SA01" \
139- -i " pandas.api.types.is_hashable PR01,RT03,SA01" \
140- -i " pandas.api.types.is_int64_dtype SA01" \
141110 -i " pandas.api.types.is_integer PR01,SA01" \
142- -i " pandas.api.types.is_integer_dtype SA01" \
143- -i " pandas.api.types.is_interval_dtype SA01" \
144111 -i " pandas.api.types.is_iterator PR07,SA01" \
145- -i " pandas.api.types.is_list_like SA01" \
146- -i " pandas.api.types.is_named_tuple PR07,SA01" \
147- -i " pandas.api.types.is_object_dtype SA01" \
148- -i " pandas.api.types.is_re PR07,SA01" \
149112 -i " pandas.api.types.is_re_compilable PR07,SA01" \
150113 -i " pandas.api.types.pandas_dtype PR07,RT03,SA01" \
151114 -i " pandas.arrays.ArrowExtensionArray PR07,SA01" \
152- -i " pandas.arrays.BooleanArray SA01" \
153115 -i " pandas.arrays.DatetimeArray SA01" \
154- -i " pandas.arrays.FloatingArray SA01" \
155116 -i " pandas.arrays.IntegerArray SA01" \
156117 -i " pandas.arrays.IntervalArray.left SA01" \
157118 -i " pandas.arrays.IntervalArray.length SA01" \
158- -i " pandas.arrays.IntervalArray.mid SA01" \
159119 -i " pandas.arrays.IntervalArray.right SA01" \
160120 -i " pandas.arrays.NumpyExtensionArray SA01" \
161121 -i " pandas.arrays.SparseArray PR07,SA01" \
162122 -i " pandas.arrays.TimedeltaArray PR07,SA01" \
163123 -i " pandas.core.groupby.DataFrameGroupBy.__iter__ RT03,SA01" \
164- -i " pandas.core.groupby.DataFrameGroupBy.agg RT03" \
165- -i " pandas.core.groupby.DataFrameGroupBy.aggregate RT03" \
166124 -i " pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
167- -i " pandas.core.groupby.DataFrameGroupBy.filter SA01" \
168125 -i " pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
169126 -i " pandas.core.groupby.DataFrameGroupBy.groups SA01" \
170- -i " pandas.core.groupby.DataFrameGroupBy.hist RT03" \
171127 -i " pandas.core.groupby.DataFrameGroupBy.indices SA01" \
172- -i " pandas.core.groupby.DataFrameGroupBy.max SA01" \
173- -i " pandas.core.groupby.DataFrameGroupBy.min SA01" \
174128 -i " pandas.core.groupby.DataFrameGroupBy.nth PR02" \
175129 -i " pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
176130 -i " pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
177131 -i " pandas.core.groupby.DataFrameGroupBy.plot PR02" \
178132 -i " pandas.core.groupby.DataFrameGroupBy.sem SA01" \
179- -i " pandas.core.groupby.DataFrameGroupBy.sum SA01" \
180133 -i " pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
181- -i " pandas.core.groupby.SeriesGroupBy.agg RT03" \
182- -i " pandas.core.groupby.SeriesGroupBy.aggregate RT03" \
183- -i " pandas.core.groupby.SeriesGroupBy.filter PR01,SA01" \
184134 -i " pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
185135 -i " pandas.core.groupby.SeriesGroupBy.groups SA01" \
186136 -i " pandas.core.groupby.SeriesGroupBy.indices SA01" \
187137 -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \
188138 -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \
189- -i " pandas.core.groupby.SeriesGroupBy.max SA01" \
190- -i " pandas.core.groupby.SeriesGroupBy.min SA01" \
191139 -i " pandas.core.groupby.SeriesGroupBy.nth PR02" \
192140 -i " pandas.core.groupby.SeriesGroupBy.ohlc SA01" \
193141 -i " pandas.core.groupby.SeriesGroupBy.plot PR02" \
194142 -i " pandas.core.groupby.SeriesGroupBy.sem SA01" \
195- -i " pandas.core.groupby.SeriesGroupBy.sum SA01" \
196143 -i " pandas.core.resample.Resampler.__iter__ RT03,SA01" \
197- -i " pandas.core.resample.Resampler.ffill RT03" \
198144 -i " pandas.core.resample.Resampler.get_group RT03,SA01" \
199145 -i " pandas.core.resample.Resampler.groups SA01" \
200146 -i " pandas.core.resample.Resampler.indices SA01" \
@@ -209,24 +155,19 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
209155 -i " pandas.core.resample.Resampler.sum SA01" \
210156 -i " pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
211157 -i " pandas.core.resample.Resampler.var SA01" \
212- -i " pandas.date_range RT03" \
213158 -i " pandas.errors.AttributeConflictWarning SA01" \
214159 -i " pandas.errors.CSSWarning SA01" \
215160 -i " pandas.errors.CategoricalConversionWarning SA01" \
216161 -i " pandas.errors.ChainedAssignmentError SA01" \
217- -i " pandas.errors.ClosedFileError SA01" \
218162 -i " pandas.errors.DataError SA01" \
219163 -i " pandas.errors.DuplicateLabelError SA01" \
220- -i " pandas.errors.EmptyDataError SA01" \
221164 -i " pandas.errors.IntCastingNaNError SA01" \
222165 -i " pandas.errors.InvalidIndexError SA01" \
223166 -i " pandas.errors.InvalidVersion SA01" \
224- -i " pandas.errors.MergeError SA01" \
225167 -i " pandas.errors.NullFrequencyError SA01" \
226168 -i " pandas.errors.NumExprClobberingError SA01" \
227169 -i " pandas.errors.NumbaUtilError SA01" \
228170 -i " pandas.errors.OptionError SA01" \
229- -i " pandas.errors.OutOfBoundsDatetime SA01" \
230171 -i " pandas.errors.OutOfBoundsTimedelta SA01" \
231172 -i " pandas.errors.PerformanceWarning SA01" \
232173 -i " pandas.errors.PossibleDataLossError SA01" \
@@ -400,7 +341,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
400341 -i " pandas.tseries.offsets.SemiMonthBegin.n GL08" \
401342 -i " pandas.tseries.offsets.SemiMonthBegin.normalize GL08" \
402343 -i " pandas.tseries.offsets.SemiMonthBegin.rule_code GL08" \
403- -i " pandas.tseries.offsets.SemiMonthEnd SA01" \
404344 -i " pandas.tseries.offsets.SemiMonthEnd.day_of_month GL08" \
405345 -i " pandas.tseries.offsets.SemiMonthEnd.is_on_offset GL08" \
406346 -i " pandas.tseries.offsets.SemiMonthEnd.n GL08" \
@@ -414,7 +354,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
414354 -i " pandas.tseries.offsets.Week.n GL08" \
415355 -i " pandas.tseries.offsets.Week.normalize GL08" \
416356 -i " pandas.tseries.offsets.Week.weekday GL08" \
417- -i " pandas.tseries.offsets.WeekOfMonth SA01" \
418357 -i " pandas.tseries.offsets.WeekOfMonth.is_on_offset GL08" \
419358 -i " pandas.tseries.offsets.WeekOfMonth.n GL08" \
420359 -i " pandas.tseries.offsets.WeekOfMonth.normalize GL08" \
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