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Merge branch 'main' into fix/as_index_false_returns_multiindex
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‎ci/code_checks.sh

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@@ -80,106 +80,52 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.CategoricalIndex.codes SA01" \
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-i "pandas.CategoricalIndex.ordered SA01" \
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-i "pandas.DataFrame.__dataframe__ SA01" \
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-i "pandas.DataFrame.__iter__ SA01" \
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-i "pandas.DataFrame.at_time PR01" \
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-i "pandas.DataFrame.columns SA01" \
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-i "pandas.DataFrame.droplevel SA01" \
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-i "pandas.DataFrame.hist RT03" \
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-i "pandas.DataFrame.infer_objects RT03" \
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-i "pandas.DataFrame.kurt RT03,SA01" \
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-i "pandas.DataFrame.kurtosis RT03,SA01" \
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-i "pandas.DataFrame.max RT03" \
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-i "pandas.DataFrame.mean RT03,SA01" \
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-i "pandas.DataFrame.median RT03,SA01" \
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-i "pandas.DataFrame.min RT03" \
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-i "pandas.DataFrame.plot PR02,SA01" \
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-i "pandas.DataFrame.pop SA01" \
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-i "pandas.DataFrame.prod RT03" \
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-i "pandas.DataFrame.product RT03" \
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-i "pandas.DataFrame.reorder_levels SA01" \
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-i "pandas.DataFrame.sem PR01,RT03,SA01" \
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-i "pandas.DataFrame.skew RT03,SA01" \
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-i "pandas.DataFrame.sparse PR01" \
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-i "pandas.DataFrame.std PR01,RT03,SA01" \
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-i "pandas.DataFrame.sum RT03" \
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-i "pandas.DataFrame.swaplevel SA01" \
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-i "pandas.DataFrame.to_feather SA01" \
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-i "pandas.DataFrame.to_markdown SA01" \
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-i "pandas.DataFrame.to_parquet RT03" \
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-i "pandas.DataFrame.var PR01,RT03,SA01" \
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-i "pandas.DatetimeIndex.ceil SA01" \
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-i "pandas.DatetimeIndex.date SA01" \
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-i "pandas.DatetimeIndex.day_of_year SA01" \
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-i "pandas.DatetimeIndex.dayofyear SA01" \
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-i "pandas.DatetimeIndex.floor SA01" \
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-i "pandas.DatetimeIndex.freqstr SA01" \
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-i "pandas.DatetimeIndex.indexer_at_time PR01,RT03" \
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-i "pandas.DatetimeIndex.indexer_between_time RT03" \
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-i "pandas.DatetimeIndex.inferred_freq SA01" \
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-i "pandas.DatetimeIndex.is_leap_year SA01" \
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-i "pandas.DatetimeIndex.quarter SA01" \
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-i "pandas.DatetimeIndex.round SA01" \
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-i "pandas.DatetimeIndex.snap PR01,RT03,SA01" \
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-i "pandas.DatetimeIndex.std PR01,RT03" \
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-i "pandas.DatetimeIndex.time SA01" \
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-i "pandas.DatetimeIndex.timetz SA01" \
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-i "pandas.DatetimeIndex.snap PR01,RT03" \
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-i "pandas.DatetimeIndex.to_period RT03" \
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-i "pandas.DatetimeIndex.to_pydatetime RT03,SA01" \
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-i "pandas.DatetimeIndex.tz SA01" \
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-i "pandas.DatetimeIndex.tz_convert RT03" \
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-i "pandas.DatetimeTZDtype SA01" \
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-i "pandas.DatetimeTZDtype.tz SA01" \
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-i "pandas.DatetimeTZDtype.unit SA01" \
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-i "pandas.Grouper PR02" \
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-i "pandas.HDFStore.info RT03,SA01" \
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-i "pandas.HDFStore.keys SA01" \
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-i "pandas.HDFStore.put PR01,SA01" \
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-i "pandas.HDFStore.select SA01" \
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-i "pandas.HDFStore.walk SA01" \
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-i "pandas.Index PR07" \
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-i "pandas.Index.T SA01" \
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-i "pandas.Index.append PR07,RT03,SA01" \
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-i "pandas.Index.astype SA01" \
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-i "pandas.Index.copy PR07,SA01" \
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-i "pandas.Index.difference PR07,RT03,SA01" \
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-i "pandas.Index.drop PR07,SA01" \
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-i "pandas.Index.drop_duplicates RT03" \
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-i "pandas.Index.droplevel RT03,SA01" \
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-i "pandas.Index.dropna RT03,SA01" \
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-i "pandas.Index.dtype SA01" \
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-i "pandas.Index.duplicated RT03" \
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-i "pandas.Index.empty GL08" \
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-i "pandas.Index.equals SA01" \
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-i "pandas.Index.fillna RT03" \
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-i "pandas.Index.get_indexer PR07,SA01" \
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-i "pandas.Index.get_indexer_for PR01,SA01" \
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-i "pandas.Index.get_indexer_non_unique PR07,SA01" \
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-i "pandas.Index.get_loc PR07,RT03,SA01" \
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-i "pandas.Index.get_slice_bound PR07" \
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-i "pandas.Index.hasnans SA01" \
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-i "pandas.Index.identical PR01,SA01" \
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-i "pandas.Index.inferred_type SA01" \
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-i "pandas.Index.insert PR07,RT03,SA01" \
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-i "pandas.Index.intersection PR07,RT03,SA01" \
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-i "pandas.Index.item SA01" \
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-i "pandas.Index.join PR07,RT03,SA01" \
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-i "pandas.Index.map SA01" \
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-i "pandas.Index.memory_usage RT03" \
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-i "pandas.Index.name SA01" \
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-i "pandas.Index.names GL08" \
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-i "pandas.Index.nbytes SA01" \
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-i "pandas.Index.nunique RT03" \
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-i "pandas.Index.putmask PR01,RT03" \
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-i "pandas.Index.ravel PR01,RT03" \
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-i "pandas.Index.reindex PR07" \
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-i "pandas.Index.slice_indexer PR07,RT03,SA01" \
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-i "pandas.Index.slice_locs RT03" \
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-i "pandas.Index.str PR01,SA01" \
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-i "pandas.Index.symmetric_difference PR07,RT03,SA01" \
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-i "pandas.Index.take PR01,PR07" \
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-i "pandas.Index.to_list RT03" \
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-i "pandas.Index.union PR07,RT03,SA01" \
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-i "pandas.Index.unique RT03" \
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-i "pandas.Index.view GL08" \
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-i "pandas.Int16Dtype SA01" \
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-i "pandas.Int32Dtype SA01" \
@@ -207,7 +153,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.MultiIndex.append PR07,SA01" \
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-i "pandas.MultiIndex.copy PR07,RT03,SA01" \
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-i "pandas.MultiIndex.drop PR07,RT03,SA01" \
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-i "pandas.MultiIndex.droplevel RT03,SA01" \
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-i "pandas.MultiIndex.dtypes SA01" \
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-i "pandas.MultiIndex.get_indexer PR07,SA01" \
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-i "pandas.MultiIndex.get_level_values SA01" \
@@ -248,7 +193,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.PeriodIndex.dayofyear SA01" \
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-i "pandas.PeriodIndex.days_in_month SA01" \
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-i "pandas.PeriodIndex.daysinmonth SA01" \
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-i "pandas.PeriodIndex.freqstr SA01" \
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-i "pandas.PeriodIndex.from_fields PR07,SA01" \
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-i "pandas.PeriodIndex.from_ordinals SA01" \
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-i "pandas.PeriodIndex.hour SA01" \
@@ -269,7 +213,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.RangeIndex.step SA01" \
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-i "pandas.RangeIndex.stop SA01" \
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-i "pandas.Series SA01" \
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-i "pandas.Series.T SA01" \
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-i "pandas.Series.__iter__ RT03,SA01" \
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-i "pandas.Series.add PR07" \
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-i "pandas.Series.at_time PR01" \
@@ -287,49 +230,37 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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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.div PR07" \
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-i "pandas.Series.droplevel SA01" \
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-i "pandas.Series.dt.as_unit PR01,PR02" \
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-i "pandas.Series.dt.ceil PR01,PR02,SA01" \
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-i "pandas.Series.dt.ceil PR01,PR02" \
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-i "pandas.Series.dt.components SA01" \
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-i "pandas.Series.dt.date SA01" \
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-i "pandas.Series.dt.day_name PR01,PR02" \
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-i "pandas.Series.dt.day_of_year SA01" \
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-i "pandas.Series.dt.dayofyear SA01" \
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-i "pandas.Series.dt.days SA01" \
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-i "pandas.Series.dt.days_in_month SA01" \
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-i "pandas.Series.dt.daysinmonth SA01" \
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-i "pandas.Series.dt.floor PR01,PR02,SA01" \
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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.is_leap_year SA01" \
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-i "pandas.Series.dt.microseconds SA01" \
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-i "pandas.Series.dt.month_name PR01,PR02" \
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-i "pandas.Series.dt.nanoseconds SA01" \
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-i "pandas.Series.dt.normalize PR01" \
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-i "pandas.Series.dt.quarter SA01" \
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-i "pandas.Series.dt.qyear GL08" \
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-i "pandas.Series.dt.round PR01,PR02,SA01" \
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-i "pandas.Series.dt.round PR01,PR02" \
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-i "pandas.Series.dt.seconds SA01" \
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-i "pandas.Series.dt.strftime PR01,PR02" \
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-i "pandas.Series.dt.time SA01" \
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-i "pandas.Series.dt.timetz SA01" \
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-i "pandas.Series.dt.to_period PR01,PR02,RT03" \
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-i "pandas.Series.dt.total_seconds PR01" \
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-i "pandas.Series.dt.tz SA01" \
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-i "pandas.Series.dt.tz_convert PR01,PR02,RT03" \
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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.dtype SA01" \
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-i "pandas.Series.empty GL08" \
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-i "pandas.Series.eq PR07,SA01" \
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-i "pandas.Series.floordiv PR07" \
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-i "pandas.Series.ge PR07,SA01" \
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-i "pandas.Series.gt PR07,SA01" \
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-i "pandas.Series.hasnans SA01" \
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-i "pandas.Series.infer_objects RT03" \
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-i "pandas.Series.is_monotonic_decreasing SA01" \
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-i "pandas.Series.is_monotonic_increasing SA01" \
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-i "pandas.Series.is_unique SA01" \
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-i "pandas.Series.item SA01" \
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-i "pandas.Series.kurt RT03,SA01" \
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-i "pandas.Series.kurtosis RT03,SA01" \
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-i "pandas.Series.le PR07,SA01" \
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-i "pandas.Series.mod PR07" \
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-i "pandas.Series.mode SA01" \
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-i "pandas.Series.mul PR07" \
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-i "pandas.Series.nbytes SA01" \
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-i "pandas.Series.ne PR07,SA01" \
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-i "pandas.Series.nunique RT03" \
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-i "pandas.Series.pad PR01,SA01" \
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-i "pandas.Series.swaplevel SA01" \
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-i "pandas.Series.to_dict SA01" \
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-i "pandas.Series.to_frame SA01" \
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-i "pandas.Series.to_list RT03" \
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-i "pandas.Series.to_markdown SA01" \
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-i "pandas.Series.to_string SA01" \
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-i "pandas.Series.truediv PR07" \
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-i "pandas.Timedelta.total_seconds SA01" \
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-i "pandas.Timedelta.view SA01" \
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-i "pandas.TimedeltaIndex.as_unit RT03,SA01" \
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-i "pandas.TimedeltaIndex.ceil SA01" \
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-i "pandas.TimedeltaIndex.components SA01" \
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-i "pandas.TimedeltaIndex.days SA01" \
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-i "pandas.TimedeltaIndex.floor SA01" \
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-i "pandas.TimedeltaIndex.inferred_freq SA01" \
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-i "pandas.TimedeltaIndex.microseconds SA01" \
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-i "pandas.TimedeltaIndex.nanoseconds SA01" \
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-i "pandas.TimedeltaIndex.round SA01" \
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-i "pandas.TimedeltaIndex.seconds SA01" \
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-i "pandas.TimedeltaIndex.to_pytimedelta RT03,SA01" \
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-i "pandas.Timestamp PR07,SA01" \

‎doc/source/development/community.rst

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conversations and to engage people in the wider community who might not
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be active on the issue tracker but we would like to include in discussions.
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Join the mailing list and view the archives `here <https://mail.python.org/mailman/listinfo/pandas-dev>`_.
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.. _community.slack:
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Community slack

‎doc/source/development/contributing_codebase.rst

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Testing a warning
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^^^^^^^^^^^^^^^^^
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Use ``tm.assert_produces_warning`` as a context manager to check that a block of code raises a warning.
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Use ``tm.assert_produces_warning`` as a context manager to check that a block of code raises a warning
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and specify the warning message using the ``match`` argument.
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.. code-block:: python
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with tm.assert_produces_warning(DeprecationWarning):
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with tm.assert_produces_warning(DeprecationWarning, match="the warning message"):
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pd.deprecated_function()
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If a warning should specifically not happen in a block of code, pass ``False`` into the context manager.

‎doc/source/user_guide/style.ipynb

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"- Provide an API that is pleasing to use interactively and is \"good enough\" for many tasks\n",
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"- Provide the foundations for dedicated libraries to build on\n",
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"\n",
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"If you build a great library on top of this, let us know and we'll [link](https://pandas.pydata.org/pandas-docs/stable/ecosystem.html) to it.\n",
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"If you build a great library on top of this, let us know and we'll [link](https://pandas.pydata.org/community/ecosystem.html) to it.\n",
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"\n",
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"### Subclassing\n",
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"\n",

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