Functions

Conversion

from_arrow(data[, schema, schema_overrides, ...])	Create a DataFrame or Series from an Arrow Table or Array.
from_dataframe(df, *[, allow_copy])	Build a Polars DataFrame from any dataframe supporting the interchange protocol.
from_dict(data[, schema, schema_overrides])	Construct a DataFrame from a dictionary of sequences.
from_dicts(data[, schema, schema_overrides, ...])	Construct a DataFrame from a sequence of dictionaries.
from_numpy(data[, schema, schema_overrides, ...])	Construct a DataFrame from a numpy ndarray.
from_pandas()	Construct a Polars DataFrame or Series from a pandas DataFrame or Series.
from_records(data[, schema, ...])	Construct a DataFrame from a sequence of sequences.
from_repr(tbl)	Utility function that reconstructs a DataFrame or Series from the object's repr.

Miscellaneous

align_frames(*frames, on[, how, select, ...])	Align a sequence of frames using common values from one or more columns as a key.
concat(items, *[, how, rechunk, parallel])	Combine multiple DataFrames, LazyFrames, or Series into a single object.

Parallelization

collect_all(lazy_frames, *[, type_coercion, ...])

Collect multiple LazyFrames at the same time.

StringCache

Note that the StringCache can be used as both a context manager and a decorator, in order to explicitly scope cache lifetime.

StringCache()	Context manager that allows data sources to share the same categorical features.
enable_string_cache(enable)	Enable (or disable) the global string cache.
using_string_cache()	Return the current state of the global string cache (enabled/disabled).