@@ -70,115 +70,54 @@ 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.PeriodDtype.freq SA01" \
7775 -i " pandas.RangeIndex.from_range PR01,SA01" \
78- -i " pandas.RangeIndex.step SA01" \
79- -i " pandas.Series.cat.add_categories PR01,PR02" \
80- -i " pandas.Series.cat.as_ordered PR01" \
81- -i " pandas.Series.cat.as_unordered PR01" \
82- -i " pandas.Series.cat.remove_categories PR01,PR02" \
83- -i " pandas.Series.cat.remove_unused_categories PR01" \
84- -i " pandas.Series.cat.rename_categories PR01,PR02" \
85- -i " pandas.Series.cat.reorder_categories PR01,PR02" \
86- -i " pandas.Series.cat.set_categories PR01,PR02" \
87- -i " pandas.Series.dt.as_unit PR01,PR02" \
88- -i " pandas.Series.dt.ceil PR01,PR02" \
89- -i " pandas.Series.dt.day_name PR01,PR02" \
90- -i " pandas.Series.dt.floor PR01,PR02" \
9176 -i " pandas.Series.dt.freq GL08" \
92- -i " pandas.Series.dt.month_name PR01,PR02" \
93- -i " pandas.Series.dt.normalize PR01" \
94- -i " pandas.Series.dt.round PR01,PR02" \
95- -i " pandas.Series.dt.strftime PR01,PR02" \
96- -i " pandas.Series.dt.to_period PR01,PR02" \
97- -i " pandas.Series.dt.total_seconds PR01" \
98- -i " pandas.Series.dt.tz_convert PR01,PR02" \
99- -i " pandas.Series.dt.tz_localize PR01,PR02" \
10077 -i " pandas.Series.dt.unit GL08" \
10178 -i " pandas.Series.pad PR01,SA01" \
102- -i " pandas.Series.sparse.fill_value SA01" \
103- -i " pandas.Series.sparse.from_coo PR07,SA01" \
104- -i " pandas.Series.sparse.npoints SA01" \
105- -i " pandas.Series.sparse.sp_values SA01" \
106- -i " pandas.Timedelta.components SA01" \
10779 -i " pandas.Timedelta.max PR02" \
10880 -i " pandas.Timedelta.min PR02" \
10981 -i " pandas.Timedelta.resolution PR02" \
110- -i " pandas.Timedelta.to_timedelta64 SA01" \
111- -i " pandas.Timedelta.total_seconds SA01" \
112- -i " pandas.TimedeltaIndex.to_pytimedelta RT03,SA01" \
11382 -i " pandas.Timestamp.max PR02" \
11483 -i " pandas.Timestamp.min PR02" \
11584 -i " pandas.Timestamp.nanosecond GL08" \
11685 -i " pandas.Timestamp.resolution PR02" \
11786 -i " pandas.Timestamp.tzinfo GL08" \
11887 -i " pandas.Timestamp.year GL08" \
119- -i " pandas.api.extensions.ExtensionArray.interpolate PR01,SA01" \
120- -i " pandas.api.types.is_dict_like PR07,SA01" \
121- -i " pandas.api.types.is_extension_array_dtype SA01" \
122- -i " pandas.api.types.is_file_like PR07,SA01" \
123- -i " pandas.api.types.is_float PR01,SA01" \
124- -i " pandas.api.types.is_float_dtype SA01" \
125- -i " pandas.api.types.is_hashable PR01,RT03,SA01" \
126- -i " pandas.api.types.is_int64_dtype SA01" \
12788 -i " pandas.api.types.is_integer PR01,SA01" \
128- -i " pandas.api.types.is_integer_dtype SA01" \
129- -i " pandas.api.types.is_interval_dtype SA01" \
13089 -i " pandas.api.types.is_iterator PR07,SA01" \
131- -i " pandas.api.types.is_list_like SA01" \
132- -i " pandas.api.types.is_named_tuple PR07,SA01" \
133- -i " pandas.api.types.is_object_dtype SA01" \
134- -i " pandas.api.types.is_re PR07,SA01" \
13590 -i " pandas.api.types.is_re_compilable PR07,SA01" \
13691 -i " pandas.api.types.pandas_dtype PR07,RT03,SA01" \
13792 -i " pandas.arrays.ArrowExtensionArray PR07,SA01" \
138- -i " pandas.arrays.BooleanArray SA01" \
139- -i " pandas.arrays.DatetimeArray SA01" \
140- -i " pandas.arrays.FloatingArray SA01" \
14193 -i " pandas.arrays.IntegerArray SA01" \
14294 -i " pandas.arrays.IntervalArray.left SA01" \
14395 -i " pandas.arrays.IntervalArray.length SA01" \
144- -i " pandas.arrays.IntervalArray.mid SA01" \
14596 -i " pandas.arrays.IntervalArray.right SA01" \
14697 -i " pandas.arrays.NumpyExtensionArray SA01" \
14798 -i " pandas.arrays.SparseArray PR07,SA01" \
14899 -i " pandas.arrays.TimedeltaArray PR07,SA01" \
149100 -i " pandas.core.groupby.DataFrameGroupBy.__iter__ RT03,SA01" \
150- -i " pandas.core.groupby.DataFrameGroupBy.agg RT03" \
151- -i " pandas.core.groupby.DataFrameGroupBy.aggregate RT03" \
152101 -i " pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
153102 -i " pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
154103 -i " pandas.core.groupby.DataFrameGroupBy.groups SA01" \
155- -i " pandas.core.groupby.DataFrameGroupBy.hist RT03" \
156104 -i " pandas.core.groupby.DataFrameGroupBy.indices SA01" \
157- -i " pandas.core.groupby.DataFrameGroupBy.max SA01" \
158- -i " pandas.core.groupby.DataFrameGroupBy.min SA01" \
159105 -i " pandas.core.groupby.DataFrameGroupBy.nth PR02" \
160106 -i " pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
161107 -i " pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
162108 -i " pandas.core.groupby.DataFrameGroupBy.plot PR02" \
163109 -i " pandas.core.groupby.DataFrameGroupBy.sem SA01" \
164- -i " pandas.core.groupby.DataFrameGroupBy.sum SA01" \
165110 -i " pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
166- -i " pandas.core.groupby.SeriesGroupBy.agg RT03" \
167- -i " pandas.core.groupby.SeriesGroupBy.aggregate RT03" \
168111 -i " pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
169112 -i " pandas.core.groupby.SeriesGroupBy.groups SA01" \
170113 -i " pandas.core.groupby.SeriesGroupBy.indices SA01" \
171114 -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \
172115 -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \
173- -i " pandas.core.groupby.SeriesGroupBy.max SA01" \
174- -i " pandas.core.groupby.SeriesGroupBy.min SA01" \
175116 -i " pandas.core.groupby.SeriesGroupBy.nth PR02" \
176117 -i " pandas.core.groupby.SeriesGroupBy.ohlc SA01" \
177118 -i " pandas.core.groupby.SeriesGroupBy.plot PR02" \
178119 -i " pandas.core.groupby.SeriesGroupBy.sem SA01" \
179- -i " pandas.core.groupby.SeriesGroupBy.sum SA01" \
180120 -i " pandas.core.resample.Resampler.__iter__ RT03,SA01" \
181- -i " pandas.core.resample.Resampler.ffill RT03" \
182121 -i " pandas.core.resample.Resampler.get_group RT03,SA01" \
183122 -i " pandas.core.resample.Resampler.groups SA01" \
184123 -i " pandas.core.resample.Resampler.indices SA01" \
@@ -193,46 +132,32 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
193132 -i " pandas.core.resample.Resampler.sum SA01" \
194133 -i " pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
195134 -i " pandas.core.resample.Resampler.var SA01" \
196- -i " pandas.date_range RT03" \
197135 -i " pandas.errors.AttributeConflictWarning SA01" \
198136 -i " pandas.errors.CSSWarning SA01" \
199- -i " pandas.errors.CategoricalConversionWarning SA01" \
200137 -i " pandas.errors.ChainedAssignmentError SA01" \
201- -i " pandas.errors.ClosedFileError SA01" \
202138 -i " pandas.errors.DataError SA01" \
203139 -i " pandas.errors.DuplicateLabelError SA01" \
204- -i " pandas.errors.EmptyDataError SA01" \
205140 -i " pandas.errors.IntCastingNaNError SA01" \
206141 -i " pandas.errors.InvalidIndexError SA01" \
207- -i " pandas.errors.InvalidVersion SA01" \
208- -i " pandas.errors.MergeError SA01" \
209142 -i " pandas.errors.NullFrequencyError SA01" \
210143 -i " pandas.errors.NumExprClobberingError SA01" \
211144 -i " pandas.errors.NumbaUtilError SA01" \
212145 -i " pandas.errors.OptionError SA01" \
213- -i " pandas.errors.OutOfBoundsDatetime SA01" \
214146 -i " pandas.errors.OutOfBoundsTimedelta SA01" \
215147 -i " pandas.errors.PerformanceWarning SA01" \
216148 -i " pandas.errors.PossibleDataLossError SA01" \
217149 -i " pandas.errors.PossiblePrecisionLoss SA01" \
218- -i " pandas.errors.SpecificationError SA01" \
219150 -i " pandas.errors.UndefinedVariableError PR01,SA01" \
220151 -i " pandas.errors.UnsortedIndexError SA01" \
221152 -i " pandas.errors.UnsupportedFunctionCall SA01" \
222153 -i " pandas.errors.ValueLabelTypeMismatch SA01" \
223154 -i " pandas.infer_freq SA01" \
224155 -i " pandas.io.json.build_table_schema PR07,RT03,SA01" \
225- -i " pandas.io.stata.StataReader.data_label SA01" \
226- -i " pandas.io.stata.StataReader.value_labels RT03,SA01" \
227- -i " pandas.io.stata.StataReader.variable_labels RT03,SA01" \
228156 -i " pandas.io.stata.StataWriter.write_file SA01" \
229157 -i " pandas.json_normalize RT03,SA01" \
230- -i " pandas.period_range RT03,SA01" \
231158 -i " pandas.plotting.andrews_curves RT03,SA01" \
232- -i " pandas.plotting.lag_plot RT03,SA01" \
233159 -i " pandas.plotting.scatter_matrix PR07,SA01" \
234160 -i " pandas.set_eng_float_format RT03,SA01" \
235- -i " pandas.testing.assert_extension_array_equal SA01" \
236161 -i " pandas.tseries.offsets.BDay PR02,SA01" \
237162 -i " pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
238163 -i " pandas.tseries.offsets.BQuarterBegin.n GL08" \
@@ -384,7 +309,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
384309 -i " pandas.tseries.offsets.SemiMonthBegin.n GL08" \
385310 -i " pandas.tseries.offsets.SemiMonthBegin.normalize GL08" \
386311 -i " pandas.tseries.offsets.SemiMonthBegin.rule_code GL08" \
387- -i " pandas.tseries.offsets.SemiMonthEnd SA01" \
388312 -i " pandas.tseries.offsets.SemiMonthEnd.day_of_month GL08" \
389313 -i " pandas.tseries.offsets.SemiMonthEnd.is_on_offset GL08" \
390314 -i " pandas.tseries.offsets.SemiMonthEnd.n GL08" \
@@ -398,7 +322,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
398322 -i " pandas.tseries.offsets.Week.n GL08" \
399323 -i " pandas.tseries.offsets.Week.normalize GL08" \
400324 -i " pandas.tseries.offsets.Week.weekday GL08" \
401- -i " pandas.tseries.offsets.WeekOfMonth SA01" \
402325 -i " pandas.tseries.offsets.WeekOfMonth.is_on_offset GL08" \
403326 -i " pandas.tseries.offsets.WeekOfMonth.n GL08" \
404327 -i " pandas.tseries.offsets.WeekOfMonth.normalize GL08" \
0 commit comments