Bulk Operation

SPARK-42883 Allow `columns` parameter when creating DataFrame with Series.

SPARK-42883 Implement axis and skipna of Series.argmin

SPARK-42883 Implement `skipna` of `Series.argmax`

SPARK-42883 Implement `ignore_index` of `DataFrame.explode` and `DataFrame.drop_duplicates`

SPARK-42883 Implement `skipna` parameter of `GroupBy.all`

SPARK-42883 interpolate supports limit_area

SPARK-42883 Adjust `GroupBy.mean/median` to match pandas 1.4

SPARK-42883 Adjust `GroupBy.std` to match pandas 1.4

SPARK-42883 Implement `skipna` of basic statistical functions of DataFrame and Series

SPARK-42883 Refactor `GroupBy._reduce_for_stat_function` on accepted data types

SPARK-42883 Convert bools to ints in basic statistical functions of GroupBy objects

SPARK-42883 Implement `ignore_index` of `DataFrame/Series.sample`

SPARK-42883 Implement `numeric_only` of `GroupBy.first` and `GroupBy.last`

SPARK-42883 EWM support ignore_na

SPARK-42883 Implement `inplace` and `columns` parameters of `Series.drop`

SPARK-42883 interpolate support param `limit_direction`

SPARK-42883 Implement `ignore_index` of `Series.sort_values` and `Series.sort_index`

SPARK-42883 Implement `ignore_index` of `DataFrame.sort_index`.

SPARK-42883 Implement `numeric_only` parameter of `GroupBy.max/min`

SPARK-42883 Implement `skipna` parameter of `DataFrame.all`

SPARK-42883 Implement `dropna` parameter of `SeriesGroupBy.value_counts`

SPARK-42883 Support `return_indexer` parameter of `Index/MultiIndex.sort_values`

SPARK-42883 Implement `inplace` parameter of `Series.clip`

SPARK-42883 Pandas API on spark Can`t apply lamda to columns.

SPARK-42883 Support `how` parameter of `MultiIndex.dropna`

SPARK-42883 Support string `inclusive` parameter of `Series.between`

SPARK-42883 Implement `keep` parameter of `(Index/MultiIndex).drop_duplicates`

SPARK-42883 Implement `bool_only` parameter of `DataFrame.all` and`DataFrame.any`

SPARK-42883 Implement `numeric_only` parameter for `DataFrame/Series.rank` to rank numeric columns only

SPARK-42883 Implement `keep` parameter of `frame.nlargest/nsmallest` to decide how to resolve ties

SPARK-42883 Implement `skipna` of `Series.all/Index.all` to exclude NA/null values

SPARK-42883 Support `ignore_index` of `Series.sort_values`

SPARK-42883 Add `Series.duplicated` to indicate duplicate Series values.

SPARK-42883 Support string and bool `regex` in `Series.replace`

SPARK-42883 Enable Series.rename to change index labels

SPARK-42883 Support `na_action` and Series input correspondence in `Series.map`