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57 | 57 | ### DOCSTRINGS ###
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58 | 58 | if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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59 | 59 |
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60 |
| - MSG='Validate docstrings (EX02, EX04, GL01, GL02, GL03, GL04, GL05, GL06, GL07, GL09, GL10, PR03, PR04, PR05, PR06, PR08, PR09, PR10, RT01, RT02, RT04, RT05, SA02, SA03, SA04, SS01, SS02, SS03, SS04, SS05, SS06)' ; echo $MSG |
61 |
| - $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX02,EX04,GL01,GL02,GL03,GL04,GL05,GL06,GL07,GL09,GL10,PR03,PR04,PR05,PR06,PR08,PR09,PR10,RT01,RT02,RT04,RT05,SA02,SA03,SA04,SS01,SS02,SS03,SS04,SS05,SS06 |
| 60 | + MSG='Validate docstrings (EX01, EX02, EX04, GL01, GL02, GL03, GL04, GL05, GL06, GL07, GL09, GL10, PR03, PR04, PR05, PR06, PR08, PR09, PR10, RT01, RT02, RT04, RT05, SA02, SA03, SA04, SS01, SS02, SS03, SS04, SS05, SS06)' ; echo $MSG |
| 61 | + $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX01,EX02,EX04,GL01,GL02,GL03,GL04,GL05,GL06,GL07,GL09,GL10,PR03,PR04,PR05,PR06,PR08,PR09,PR10,RT01,RT02,RT04,RT05,SA02,SA03,SA04,SS01,SS02,SS03,SS04,SS05,SS06 |
62 | 62 | RET=$(($RET + $?)) ; echo $MSG "DONE"
|
63 | 63 |
|
64 |
| - MSG='Partially validate docstrings (EX01)' ; echo $MSG |
65 |
| - $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX01 --ignore_functions \ |
66 |
| - pandas.NaT \ |
67 |
| - pandas.io.stata.StataWriter.write_file \ |
68 |
| - pandas.plotting.deregister_matplotlib_converters \ |
69 |
| - pandas.plotting.register_matplotlib_converters \ |
70 |
| - pandas.api.extensions.ExtensionArray \ |
| 64 | + MSG='Partially validate docstrings (EX03)' ; echo $MSG |
| 65 | + $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX03 --ignore_functions \ |
| 66 | + pandas.Series.loc \ |
| 67 | + pandas.Series.iloc \ |
| 68 | + pandas.Series.pop \ |
| 69 | + pandas.Series.describe \ |
| 70 | + pandas.Series.skew \ |
| 71 | + pandas.Series.var \ |
| 72 | + pandas.Series.last \ |
| 73 | + pandas.Series.tz_convert \ |
| 74 | + pandas.Series.tz_localize \ |
| 75 | + pandas.Series.dt.month_name \ |
| 76 | + pandas.Series.dt.day_name \ |
| 77 | + pandas.Series.str.len \ |
| 78 | + pandas.Series.cat.set_categories \ |
| 79 | + pandas.Series.plot.bar \ |
| 80 | + pandas.Series.plot.hist \ |
| 81 | + pandas.Series.plot.line \ |
| 82 | + pandas.Series.to_sql \ |
| 83 | + pandas.Series.to_latex \ |
| 84 | + pandas.errors.CategoricalConversionWarning \ |
| 85 | + pandas.errors.ChainedAssignmentError \ |
| 86 | + pandas.errors.ClosedFileError \ |
| 87 | + pandas.errors.DatabaseError \ |
| 88 | + pandas.errors.IndexingError \ |
| 89 | + pandas.errors.InvalidColumnName \ |
| 90 | + pandas.errors.NumExprClobberingError \ |
| 91 | + pandas.errors.PossibleDataLossError \ |
| 92 | + pandas.errors.PossiblePrecisionLoss \ |
| 93 | + pandas.errors.SettingWithCopyError \ |
| 94 | + pandas.errors.SettingWithCopyWarning \ |
| 95 | + pandas.errors.SpecificationError \ |
| 96 | + pandas.errors.UndefinedVariableError \ |
| 97 | + pandas.errors.ValueLabelTypeMismatch \ |
| 98 | + pandas.Timestamp.ceil \ |
| 99 | + pandas.Timestamp.floor \ |
| 100 | + pandas.Timestamp.round \ |
| 101 | + pandas.read_pickle \ |
| 102 | + pandas.ExcelWriter \ |
| 103 | + pandas.read_json \ |
| 104 | + pandas.io.json.build_table_schema \ |
| 105 | + pandas.DataFrame.to_latex \ |
| 106 | + pandas.io.formats.style.Styler.to_latex \ |
| 107 | + pandas.read_parquet \ |
| 108 | + pandas.DataFrame.to_sql \ |
| 109 | + pandas.read_stata \ |
| 110 | + pandas.core.resample.Resampler.pipe \ |
| 111 | + pandas.core.resample.Resampler.fillna \ |
| 112 | + pandas.core.resample.Resampler.interpolate \ |
| 113 | + pandas.plotting.scatter_matrix \ |
| 114 | + pandas.pivot \ |
| 115 | + pandas.merge_asof \ |
| 116 | + pandas.wide_to_long \ |
| 117 | + pandas.Index.rename \ |
| 118 | + pandas.Index.droplevel \ |
| 119 | + pandas.Index.isin \ |
| 120 | + pandas.CategoricalIndex.set_categories \ |
| 121 | + pandas.MultiIndex.names \ |
| 122 | + pandas.MultiIndex.droplevel \ |
| 123 | + pandas.IndexSlice \ |
| 124 | + pandas.DatetimeIndex.month_name \ |
| 125 | + pandas.DatetimeIndex.day_name \ |
| 126 | + pandas.core.window.rolling.Rolling.corr \ |
| 127 | + pandas.Grouper \ |
| 128 | + pandas.core.groupby.SeriesGroupBy.apply \ |
| 129 | + pandas.core.groupby.DataFrameGroupBy.apply \ |
| 130 | + pandas.core.groupby.SeriesGroupBy.transform \ |
| 131 | + pandas.core.groupby.SeriesGroupBy.pipe \ |
| 132 | + pandas.core.groupby.DataFrameGroupBy.pipe \ |
| 133 | + pandas.core.groupby.DataFrameGroupBy.describe \ |
| 134 | + pandas.core.groupby.DataFrameGroupBy.idxmax \ |
| 135 | + pandas.core.groupby.DataFrameGroupBy.idxmin \ |
| 136 | + pandas.core.groupby.DataFrameGroupBy.value_counts \ |
| 137 | + pandas.core.groupby.SeriesGroupBy.describe \ |
| 138 | + pandas.core.groupby.DataFrameGroupBy.boxplot \ |
| 139 | + pandas.core.groupby.DataFrameGroupBy.hist \ |
| 140 | + pandas.io.formats.style.Styler.map \ |
| 141 | + pandas.io.formats.style.Styler.apply_index \ |
| 142 | + pandas.io.formats.style.Styler.map_index \ |
| 143 | + pandas.io.formats.style.Styler.format \ |
| 144 | + pandas.io.formats.style.Styler.format_index \ |
| 145 | + pandas.io.formats.style.Styler.relabel_index \ |
| 146 | + pandas.io.formats.style.Styler.hide \ |
| 147 | + pandas.io.formats.style.Styler.set_td_classes \ |
| 148 | + pandas.io.formats.style.Styler.set_tooltips \ |
| 149 | + pandas.io.formats.style.Styler.set_uuid \ |
| 150 | + pandas.io.formats.style.Styler.pipe \ |
| 151 | + pandas.io.formats.style.Styler.highlight_between \ |
| 152 | + pandas.io.formats.style.Styler.highlight_quantile \ |
| 153 | + pandas.io.formats.style.Styler.background_gradient \ |
| 154 | + pandas.io.formats.style.Styler.text_gradient \ |
| 155 | + pandas.DataFrame.values \ |
| 156 | + pandas.DataFrame.loc \ |
| 157 | + pandas.DataFrame.iloc \ |
| 158 | + pandas.DataFrame.groupby \ |
| 159 | + pandas.DataFrame.describe \ |
| 160 | + pandas.DataFrame.skew \ |
| 161 | + pandas.DataFrame.var \ |
| 162 | + pandas.DataFrame.idxmax \ |
| 163 | + pandas.DataFrame.idxmin \ |
| 164 | + pandas.DataFrame.last \ |
| 165 | + pandas.DataFrame.pivot \ |
| 166 | + pandas.DataFrame.sort_values \ |
| 167 | + pandas.DataFrame.tz_convert \ |
| 168 | + pandas.DataFrame.tz_localize \ |
| 169 | + pandas.DataFrame.plot.bar \ |
| 170 | + pandas.DataFrame.plot.hexbin \ |
| 171 | + pandas.DataFrame.plot.hist \ |
| 172 | + pandas.DataFrame.plot.line \ |
| 173 | + pandas.DataFrame.hist \ |
71 | 174 | RET=$(($RET + $?)) ; echo $MSG "DONE"
|
72 | 175 |
|
73 | 176 | fi
|
|
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