@@ -73,151 +73,78 @@ 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.RangeIndex.step SA01" \
77- -i " pandas.Series.cat.add_categories PR01,PR02" \
78- -i " pandas.Series.cat.as_ordered PR01" \
79- -i " pandas.Series.cat.as_unordered PR01" \
80- -i " pandas.Series.cat.remove_categories PR01,PR02" \
81- -i " pandas.Series.cat.remove_unused_categories PR01" \
82- -i " pandas.Series.cat.rename_categories PR01,PR02" \
83- -i " pandas.Series.cat.reorder_categories PR01,PR02" \
84- -i " pandas.Series.cat.set_categories PR01,PR02" \
85- -i " pandas.Series.dt.as_unit PR01,PR02" \
86- -i " pandas.Series.dt.ceil PR01,PR02" \
87- -i " pandas.Series.dt.day_name PR01,PR02" \
88- -i " pandas.Series.dt.floor PR01,PR02" \
8976 -i " pandas.Series.dt.freq GL08" \
90- -i " pandas.Series.dt.month_name PR01,PR02" \
91- -i " pandas.Series.dt.normalize PR01" \
92- -i " pandas.Series.dt.round PR01,PR02" \
93- -i " pandas.Series.dt.strftime PR01,PR02" \
94- -i " pandas.Series.dt.to_period PR01,PR02" \
95- -i " pandas.Series.dt.total_seconds PR01" \
96- -i " pandas.Series.dt.tz_convert PR01,PR02" \
97- -i " pandas.Series.dt.tz_localize PR01,PR02" \
9877 -i " pandas.Series.dt.unit GL08" \
9978 -i " pandas.Series.pad PR01,SA01" \
100- -i " pandas.Series.sparse.fill_value SA01" \
101- -i " pandas.Series.sparse.from_coo PR07,SA01" \
102- -i " pandas.Series.sparse.npoints SA01" \
103- -i " pandas.Series.sparse.sp_values SA01" \
10479 -i " pandas.Timedelta.max PR02" \
10580 -i " pandas.Timedelta.min PR02" \
10681 -i " pandas.Timedelta.resolution PR02" \
107- -i " pandas.Timedelta.to_timedelta64 SA01" \
108- -i " pandas.TimedeltaIndex.to_pytimedelta RT03,SA01" \
10982 -i " pandas.Timestamp.max PR02" \
11083 -i " pandas.Timestamp.min PR02" \
11184 -i " pandas.Timestamp.nanosecond GL08" \
11285 -i " pandas.Timestamp.resolution PR02" \
11386 -i " pandas.Timestamp.tzinfo GL08" \
11487 -i " pandas.Timestamp.year GL08" \
115- -i " pandas.api.types.is_dict_like PR07,SA01" \
116- -i " pandas.api.types.is_file_like PR07,SA01" \
117- -i " pandas.api.types.is_float PR01,SA01" \
118- -i " pandas.api.types.is_float_dtype SA01" \
119- -i " pandas.api.types.is_hashable PR01,RT03,SA01" \
120- -i " pandas.api.types.is_int64_dtype SA01" \
121- -i " pandas.api.types.is_integer PR01,SA01" \
122- -i " pandas.api.types.is_interval_dtype SA01" \
12388 -i " pandas.api.types.is_iterator PR07,SA01" \
124- -i " pandas.api.types.is_list_like SA01" \
125- -i " pandas.api.types.is_named_tuple PR07,SA01" \
126- -i " pandas.api.types.is_object_dtype SA01" \
127- -i " pandas.api.types.is_re PR07,SA01" \
12889 -i " pandas.api.types.is_re_compilable PR07,SA01" \
12990 -i " pandas.api.types.pandas_dtype PR07,RT03,SA01" \
13091 -i " pandas.arrays.ArrowExtensionArray PR07,SA01" \
131- -i " pandas.arrays.BooleanArray SA01" \
132- -i " pandas.arrays.DatetimeArray SA01" \
13392 -i " pandas.arrays.IntegerArray SA01" \
13493 -i " pandas.arrays.IntervalArray.left SA01" \
13594 -i " pandas.arrays.IntervalArray.length SA01" \
136- -i " pandas.arrays.IntervalArray.mid SA01" \
13795 -i " pandas.arrays.IntervalArray.right SA01" \
13896 -i " pandas.arrays.NumpyExtensionArray SA01" \
13997 -i " pandas.arrays.SparseArray PR07,SA01" \
14098 -i " pandas.arrays.TimedeltaArray PR07,SA01" \
141- -i " pandas.core.groupby.DataFrameGroupBy.__iter__ RT03,SA01" \
142- -i " pandas.core.groupby.DataFrameGroupBy.agg RT03" \
143- -i " pandas.core.groupby.DataFrameGroupBy.aggregate RT03" \
14499 -i " pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
145100 -i " pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
146101 -i " pandas.core.groupby.DataFrameGroupBy.groups SA01" \
147- -i " pandas.core.groupby.DataFrameGroupBy.hist RT03" \
148102 -i " pandas.core.groupby.DataFrameGroupBy.indices SA01" \
149103 -i " pandas.core.groupby.DataFrameGroupBy.nth PR02" \
150104 -i " pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
151- -i " pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
152105 -i " pandas.core.groupby.DataFrameGroupBy.plot PR02" \
153106 -i " pandas.core.groupby.DataFrameGroupBy.sem SA01" \
154- -i " pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
155- -i " pandas.core.groupby.SeriesGroupBy.agg RT03" \
156- -i " pandas.core.groupby.SeriesGroupBy.aggregate RT03" \
157107 -i " pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
158108 -i " pandas.core.groupby.SeriesGroupBy.groups SA01" \
159109 -i " pandas.core.groupby.SeriesGroupBy.indices SA01" \
160110 -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \
161111 -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \
162112 -i " pandas.core.groupby.SeriesGroupBy.nth PR02" \
163- -i " pandas.core.groupby.SeriesGroupBy.ohlc SA01" \
164113 -i " pandas.core.groupby.SeriesGroupBy.plot PR02" \
165114 -i " pandas.core.groupby.SeriesGroupBy.sem SA01" \
166- -i " pandas.core.resample.Resampler.__iter__ RT03,SA01" \
167- -i " pandas.core.resample.Resampler.ffill RT03" \
168115 -i " pandas.core.resample.Resampler.get_group RT03,SA01" \
169116 -i " pandas.core.resample.Resampler.groups SA01" \
170117 -i " pandas.core.resample.Resampler.indices SA01" \
171118 -i " pandas.core.resample.Resampler.max PR01,RT03,SA01" \
172119 -i " pandas.core.resample.Resampler.mean SA01" \
173120 -i " pandas.core.resample.Resampler.min PR01,RT03,SA01" \
174- -i " pandas.core.resample.Resampler.ohlc SA01" \
175121 -i " pandas.core.resample.Resampler.prod SA01" \
176122 -i " pandas.core.resample.Resampler.quantile PR01,PR07" \
177123 -i " pandas.core.resample.Resampler.sem SA01" \
178124 -i " pandas.core.resample.Resampler.std SA01" \
179- -i " pandas.core.resample.Resampler.sum SA01" \
180125 -i " pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
181126 -i " pandas.core.resample.Resampler.var SA01" \
182- -i " pandas.date_range RT03" \
183127 -i " pandas.errors.AttributeConflictWarning SA01" \
184- -i " pandas.errors.CSSWarning SA01" \
185- -i " pandas.errors.CategoricalConversionWarning SA01" \
186128 -i " pandas.errors.ChainedAssignmentError SA01" \
187- -i " pandas.errors.ClosedFileError SA01" \
188129 -i " pandas.errors.DataError SA01" \
189130 -i " pandas.errors.DuplicateLabelError SA01" \
190- -i " pandas.errors.EmptyDataError SA01" \
191131 -i " pandas.errors.IntCastingNaNError SA01" \
192132 -i " pandas.errors.InvalidIndexError SA01" \
193- -i " pandas.errors.InvalidVersion SA01" \
194133 -i " pandas.errors.NullFrequencyError SA01" \
195134 -i " pandas.errors.NumExprClobberingError SA01" \
196135 -i " pandas.errors.NumbaUtilError SA01" \
197- -i " pandas.errors.OptionError SA01" \
198- -i " pandas.errors.OutOfBoundsDatetime SA01" \
199136 -i " pandas.errors.OutOfBoundsTimedelta SA01" \
200137 -i " pandas.errors.PerformanceWarning SA01" \
201138 -i " pandas.errors.PossibleDataLossError SA01" \
202- -i " pandas.errors.PossiblePrecisionLoss SA01" \
203- -i " pandas.errors.SpecificationError SA01" \
204139 -i " pandas.errors.UndefinedVariableError PR01,SA01" \
205140 -i " pandas.errors.UnsortedIndexError SA01" \
206- -i " pandas.errors.UnsupportedFunctionCall SA01" \
207141 -i " pandas.errors.ValueLabelTypeMismatch SA01" \
208142 -i " pandas.infer_freq SA01" \
209143 -i " pandas.io.json.build_table_schema PR07,RT03,SA01" \
210- -i " pandas.io.stata.StataReader.data_label SA01" \
211- -i " pandas.io.stata.StataReader.value_labels RT03,SA01" \
212- -i " pandas.io.stata.StataReader.variable_labels RT03,SA01" \
213144 -i " pandas.io.stata.StataWriter.write_file SA01" \
214- -i " pandas.json_normalize RT03,SA01" \
215- -i " pandas.period_range RT03,SA01" \
216145 -i " pandas.plotting.andrews_curves RT03,SA01" \
217- -i " pandas.plotting.lag_plot RT03,SA01" \
218146 -i " pandas.plotting.scatter_matrix PR07,SA01" \
219147 -i " pandas.set_eng_float_format RT03,SA01" \
220- -i " pandas.testing.assert_extension_array_equal SA01" \
221148 -i " pandas.tseries.offsets.BDay PR02,SA01" \
222149 -i " pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
223150 -i " pandas.tseries.offsets.BQuarterBegin.n GL08" \
@@ -363,13 +290,11 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
363290 -i " pandas.tseries.offsets.Second.is_on_offset GL08" \
364291 -i " pandas.tseries.offsets.Second.n GL08" \
365292 -i " pandas.tseries.offsets.Second.normalize GL08" \
366- -i " pandas.tseries.offsets.SemiMonthBegin SA01" \
367293 -i " pandas.tseries.offsets.SemiMonthBegin.day_of_month GL08" \
368294 -i " pandas.tseries.offsets.SemiMonthBegin.is_on_offset GL08" \
369295 -i " pandas.tseries.offsets.SemiMonthBegin.n GL08" \
370296 -i " pandas.tseries.offsets.SemiMonthBegin.normalize GL08" \
371297 -i " pandas.tseries.offsets.SemiMonthBegin.rule_code GL08" \
372- -i " pandas.tseries.offsets.SemiMonthEnd SA01" \
373298 -i " pandas.tseries.offsets.SemiMonthEnd.day_of_month GL08" \
374299 -i " pandas.tseries.offsets.SemiMonthEnd.is_on_offset GL08" \
375300 -i " pandas.tseries.offsets.SemiMonthEnd.n GL08" \
0 commit comments