@@ -73,27 +73,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i " pandas.Period.freq GL08" \
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-i " pandas.Period.ordinal GL08" \
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-i " pandas.RangeIndex.from_range PR01,SA01" \
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- -i " pandas.Series.cat.add_categories PR01,PR02" \
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- -i " pandas.Series.cat.as_ordered PR01" \
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- -i " pandas.Series.cat.as_unordered PR01" \
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- -i " pandas.Series.cat.remove_categories PR01,PR02" \
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- -i " pandas.Series.cat.remove_unused_categories PR01" \
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- -i " pandas.Series.cat.rename_categories PR01,PR02" \
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- -i " pandas.Series.cat.reorder_categories PR01,PR02" \
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- -i " pandas.Series.cat.set_categories PR01,PR02" \
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- -i " pandas.Series.dt.as_unit PR01,PR02" \
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- -i " pandas.Series.dt.ceil PR01,PR02" \
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- -i " pandas.Series.dt.day_name PR01,PR02" \
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- -i " pandas.Series.dt.floor PR01,PR02" \
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-i " pandas.Series.dt.freq GL08" \
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- -i " pandas.Series.dt.month_name PR01,PR02" \
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- -i " pandas.Series.dt.normalize PR01" \
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- -i " pandas.Series.dt.round PR01,PR02" \
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- -i " pandas.Series.dt.strftime PR01,PR02" \
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- -i " pandas.Series.dt.to_period PR01,PR02" \
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- -i " pandas.Series.dt.total_seconds PR01" \
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- -i " pandas.Series.dt.tz_convert PR01,PR02" \
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- -i " pandas.Series.dt.tz_localize PR01,PR02" \
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-i " pandas.Series.dt.unit GL08" \
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-i " pandas.Series.pad PR01,SA01" \
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-i " pandas.Timedelta.max PR02" \
@@ -124,7 +104,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i " pandas.core.groupby.DataFrameGroupBy.indices SA01" \
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-i " pandas.core.groupby.DataFrameGroupBy.nth PR02" \
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-i " pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
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- -i " pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
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-i " pandas.core.groupby.DataFrameGroupBy.plot PR02" \
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-i " pandas.core.groupby.DataFrameGroupBy.sem SA01" \
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-i " pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
@@ -134,7 +113,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i " pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \
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-i " pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \
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-i " pandas.core.groupby.SeriesGroupBy.nth PR02" \
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- -i " pandas.core.groupby.SeriesGroupBy.ohlc SA01" \
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-i " pandas.core.groupby.SeriesGroupBy.plot PR02" \
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-i " pandas.core.groupby.SeriesGroupBy.sem SA01" \
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-i " pandas.core.resample.Resampler.__iter__ RT03,SA01" \
@@ -144,7 +122,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i " pandas.core.resample.Resampler.max PR01,RT03,SA01" \
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-i " pandas.core.resample.Resampler.mean SA01" \
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-i " pandas.core.resample.Resampler.min PR01,RT03,SA01" \
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- -i " pandas.core.resample.Resampler.ohlc SA01" \
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-i " pandas.core.resample.Resampler.prod SA01" \
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-i " pandas.core.resample.Resampler.quantile PR01,PR07" \
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-i " pandas.core.resample.Resampler.sem SA01" \
@@ -154,7 +131,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i " pandas.core.resample.Resampler.var SA01" \
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-i " pandas.errors.AttributeConflictWarning SA01" \
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-i " pandas.errors.CSSWarning SA01" \
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- -i " pandas.errors.CategoricalConversionWarning SA01" \
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-i " pandas.errors.ChainedAssignmentError SA01" \
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-i " pandas.errors.DataError SA01" \
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-i " pandas.errors.DuplicateLabelError SA01" \
@@ -174,12 +150,9 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i " pandas.errors.ValueLabelTypeMismatch SA01" \
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-i " pandas.infer_freq SA01" \
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-i " pandas.io.json.build_table_schema PR07,RT03,SA01" \
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- -i " pandas.io.stata.StataReader.value_labels RT03,SA01" \
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- -i " pandas.io.stata.StataReader.variable_labels RT03,SA01" \
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-i " pandas.io.stata.StataWriter.write_file SA01" \
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-i " pandas.json_normalize RT03,SA01" \
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-i " pandas.plotting.andrews_curves RT03,SA01" \
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- -i " pandas.plotting.lag_plot RT03,SA01" \
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-i " pandas.plotting.scatter_matrix PR07,SA01" \
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-i " pandas.set_eng_float_format RT03,SA01" \
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-i " pandas.tseries.offsets.BDay PR02,SA01" \
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