@@ -73,136 +73,76 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
7373 -i " pandas.Period.freq GL08" \
7474 -i " pandas.Period.ordinal GL08" \
7575 -i " pandas.RangeIndex.from_range PR01,SA01" \
76- -i " pandas.Series.cat.add_categories PR01,PR02" \
77- -i " pandas.Series.cat.as_ordered PR01" \
78- -i " pandas.Series.cat.as_unordered PR01" \
79- -i " pandas.Series.cat.remove_categories PR01,PR02" \
80- -i " pandas.Series.cat.remove_unused_categories PR01" \
81- -i " pandas.Series.cat.rename_categories PR01,PR02" \
82- -i " pandas.Series.cat.reorder_categories PR01,PR02" \
83- -i " pandas.Series.cat.set_categories PR01,PR02" \
84- -i " pandas.Series.dt.as_unit PR01,PR02" \
85- -i " pandas.Series.dt.ceil PR01,PR02" \
86- -i " pandas.Series.dt.day_name PR01,PR02" \
87- -i " pandas.Series.dt.floor PR01,PR02" \
8876 -i " pandas.Series.dt.freq GL08" \
89- -i " pandas.Series.dt.month_name PR01,PR02" \
90- -i " pandas.Series.dt.normalize PR01" \
91- -i " pandas.Series.dt.round PR01,PR02" \
92- -i " pandas.Series.dt.strftime PR01,PR02" \
93- -i " pandas.Series.dt.to_period PR01,PR02" \
94- -i " pandas.Series.dt.total_seconds PR01" \
95- -i " pandas.Series.dt.tz_convert PR01,PR02" \
96- -i " pandas.Series.dt.tz_localize PR01,PR02" \
9777 -i " pandas.Series.dt.unit GL08" \
9878 -i " pandas.Series.pad PR01,SA01" \
99- -i " pandas.Series.sparse.from_coo PR07,SA01" \
100- -i " pandas.Series.sparse.npoints SA01" \
10179 -i " pandas.Timedelta.max PR02" \
10280 -i " pandas.Timedelta.min PR02" \
10381 -i " pandas.Timedelta.resolution PR02" \
104- -i " pandas.TimedeltaIndex.to_pytimedelta RT03,SA01" \
10582 -i " pandas.Timestamp.max PR02" \
10683 -i " pandas.Timestamp.min PR02" \
10784 -i " pandas.Timestamp.nanosecond GL08" \
10885 -i " pandas.Timestamp.resolution PR02" \
10986 -i " pandas.Timestamp.tzinfo GL08" \
11087 -i " pandas.Timestamp.year GL08" \
111- -i " pandas.api.types.is_dict_like PR07,SA01" \
112- -i " pandas.api.types.is_file_like PR07,SA01" \
113- -i " pandas.api.types.is_float PR01,SA01" \
114- -i " pandas.api.types.is_hashable PR01,RT03,SA01" \
115- -i " pandas.api.types.is_integer PR01,SA01" \
116- -i " pandas.api.types.is_iterator PR07,SA01" \
117- -i " pandas.api.types.is_named_tuple PR07,SA01" \
118- -i " pandas.api.types.is_re PR07,SA01" \
11988 -i " pandas.api.types.is_re_compilable PR07,SA01" \
12089 -i " pandas.api.types.pandas_dtype PR07,RT03,SA01" \
12190 -i " pandas.arrays.ArrowExtensionArray PR07,SA01" \
122- -i " pandas.arrays.DatetimeArray SA01" \
12391 -i " pandas.arrays.IntegerArray SA01" \
12492 -i " pandas.arrays.IntervalArray.left SA01" \
12593 -i " pandas.arrays.IntervalArray.length SA01" \
12694 -i " pandas.arrays.IntervalArray.right SA01" \
12795 -i " pandas.arrays.NumpyExtensionArray SA01" \
12896 -i " pandas.arrays.SparseArray PR07,SA01" \
12997 -i " pandas.arrays.TimedeltaArray PR07,SA01" \
130- -i " pandas.core.groupby.DataFrameGroupBy.__iter__ RT03,SA01" \
131- -i " pandas.core.groupby.DataFrameGroupBy.agg RT03" \
132- -i " pandas.core.groupby.DataFrameGroupBy.aggregate RT03" \
13398 -i " pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
13499 -i " pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
135100 -i " pandas.core.groupby.DataFrameGroupBy.groups SA01" \
136101 -i " pandas.core.groupby.DataFrameGroupBy.indices SA01" \
137102 -i " pandas.core.groupby.DataFrameGroupBy.nth PR02" \
138103 -i " pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
139- -i " pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
140104 -i " pandas.core.groupby.DataFrameGroupBy.plot PR02" \
141105 -i " pandas.core.groupby.DataFrameGroupBy.sem SA01" \
142- -i " pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
143- -i " pandas.core.groupby.SeriesGroupBy.agg RT03" \
144- -i " pandas.core.groupby.SeriesGroupBy.aggregate RT03" \
145106 -i " pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
146107 -i " pandas.core.groupby.SeriesGroupBy.groups SA01" \
147108 -i " pandas.core.groupby.SeriesGroupBy.indices SA01" \
148109 -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \
149110 -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \
150111 -i " pandas.core.groupby.SeriesGroupBy.nth PR02" \
151- -i " pandas.core.groupby.SeriesGroupBy.ohlc SA01" \
152112 -i " pandas.core.groupby.SeriesGroupBy.plot PR02" \
153113 -i " pandas.core.groupby.SeriesGroupBy.sem SA01" \
154- -i " pandas.core.resample.Resampler.__iter__ RT03,SA01" \
155114 -i " pandas.core.resample.Resampler.get_group RT03,SA01" \
156115 -i " pandas.core.resample.Resampler.groups SA01" \
157116 -i " pandas.core.resample.Resampler.indices SA01" \
158117 -i " pandas.core.resample.Resampler.max PR01,RT03,SA01" \
159118 -i " pandas.core.resample.Resampler.mean SA01" \
160119 -i " pandas.core.resample.Resampler.min PR01,RT03,SA01" \
161- -i " pandas.core.resample.Resampler.ohlc SA01" \
162120 -i " pandas.core.resample.Resampler.prod SA01" \
163121 -i " pandas.core.resample.Resampler.quantile PR01,PR07" \
164122 -i " pandas.core.resample.Resampler.sem SA01" \
165123 -i " pandas.core.resample.Resampler.std SA01" \
166- -i " pandas.core.resample.Resampler.sum SA01" \
167124 -i " pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
168125 -i " pandas.core.resample.Resampler.var SA01" \
169126 -i " pandas.errors.AttributeConflictWarning SA01" \
170- -i " pandas.errors.CSSWarning SA01" \
171- -i " pandas.errors.CategoricalConversionWarning SA01" \
172127 -i " pandas.errors.ChainedAssignmentError SA01" \
173- -i " pandas.errors.ClosedFileError SA01" \
174128 -i " pandas.errors.DataError SA01" \
175129 -i " pandas.errors.DuplicateLabelError SA01" \
176130 -i " pandas.errors.IntCastingNaNError SA01" \
177131 -i " pandas.errors.InvalidIndexError SA01" \
178- -i " pandas.errors.InvalidVersion SA01" \
179132 -i " pandas.errors.NullFrequencyError SA01" \
180133 -i " pandas.errors.NumExprClobberingError SA01" \
181134 -i " pandas.errors.NumbaUtilError SA01" \
182- -i " pandas.errors.OptionError SA01" \
183- -i " pandas.errors.OutOfBoundsDatetime SA01" \
184135 -i " pandas.errors.OutOfBoundsTimedelta SA01" \
185136 -i " pandas.errors.PerformanceWarning SA01" \
186137 -i " pandas.errors.PossibleDataLossError SA01" \
187- -i " pandas.errors.PossiblePrecisionLoss SA01" \
188- -i " pandas.errors.SpecificationError SA01" \
189138 -i " pandas.errors.UndefinedVariableError PR01,SA01" \
190139 -i " pandas.errors.UnsortedIndexError SA01" \
191- -i " pandas.errors.UnsupportedFunctionCall SA01" \
192140 -i " pandas.errors.ValueLabelTypeMismatch SA01" \
193141 -i " pandas.infer_freq SA01" \
194142 -i " pandas.io.json.build_table_schema PR07,RT03,SA01" \
195- -i " pandas.io.stata.StataReader.data_label SA01" \
196- -i " pandas.io.stata.StataReader.value_labels RT03,SA01" \
197- -i " pandas.io.stata.StataReader.variable_labels RT03,SA01" \
198143 -i " pandas.io.stata.StataWriter.write_file SA01" \
199- -i " pandas.json_normalize RT03,SA01" \
200- -i " pandas.period_range RT03,SA01" \
201144 -i " pandas.plotting.andrews_curves RT03,SA01" \
202- -i " pandas.plotting.lag_plot RT03,SA01" \
203145 -i " pandas.plotting.scatter_matrix PR07,SA01" \
204- -i " pandas.set_eng_float_format RT03,SA01" \
205- -i " pandas.testing.assert_extension_array_equal SA01" \
206146 -i " pandas.tseries.offsets.BDay PR02,SA01" \
207147 -i " pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
208148 -i " pandas.tseries.offsets.BQuarterBegin.n GL08" \
@@ -348,7 +288,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
348288 -i " pandas.tseries.offsets.Second.is_on_offset GL08" \
349289 -i " pandas.tseries.offsets.Second.n GL08" \
350290 -i " pandas.tseries.offsets.Second.normalize GL08" \
351- -i " pandas.tseries.offsets.SemiMonthBegin SA01" \
352291 -i " pandas.tseries.offsets.SemiMonthBegin.day_of_month GL08" \
353292 -i " pandas.tseries.offsets.SemiMonthBegin.is_on_offset GL08" \
354293 -i " pandas.tseries.offsets.SemiMonthBegin.n GL08" \
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