This page gives an overview of all public Series methods. class polars.Series( )[source] A Series represents a single column in a polars DataFrame. polars.Series.is_in · polars.DataFrame.to_series · polars.Series.exp · Series. - dtype

Convert this Series to a Python list. This operation copies data. Examples >>> s = pl.Series("a", [1, 2, 3]) >>> s.to_list() [1, 2, 3] >>> type(s.to_list())

The Series variants contain differently typed ChunkedArrays. These structs can be turned into iterators, making it possible to use any function/ closure you ...

Return whether all values in the column are True. Only works on columns of data type Boolean. Ignore null values (default).

Cast this Series to a DataFrame. Parameters: name. optionally name/rename the Series column in the new DataFrame ...

polars.Series.list.get# ... Get the value by index in the sublists. So index 0 would return the first item of every sublist and index -1 would return the last ...

Check if elements of this Series are in the other Series. Examples >>> s = pl.Series("a", [1, 2, 3]) >>> s2 = pl.Series("b", [2, 4]) >>> s2.is_in(s) shape:

Parameters · name: string. The name of the series · values: ArrayLike<T1>. A set of values to include in the new Series object.

Sort in descending order. nulls_last. Place null values last instead of first. multithreaded. Sort using multiple threads.

Used to convert a ChunkedArray , &dyn SeriesTrait and Series into a Series . SeriesTrait. Type ...