polars 0.41.3

DataFrame library based on Apache Arrow
Documentation

polars

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 146 feature flags, 37 of them enabled by default.

default

csv (default)

docs (default)

dtype-slim (default)

fmt (default)

temporal (default)

zip_with (default)

polars-io (default)

dtype-date (default)

dtype-datetime (default)

dtype-duration (default)

polars-time (default)

abs

approx_unique

arg_where

array_any_all

array_count

array_to_struct

asof_join

async

avro

avx512

aws

azure

bench

bigidx

binary_encoding

business

checked_arithmetic

chunked_ids

cloud

cloud_write

coalesce

concat_str

cov

cross_join

cse

cum_agg

cumulative_eval

cutqcut

dataframe_arithmetic

decompress

decompress-fast

describe

diagonal_concat

diff

docs-selection

dot_diagram

dot_product

dtype-array

dtype-categorical

dtype-decimal

dtype-full

dtype-i16

dtype-i8

dtype-struct

dtype-time

dtype-u16

dtype-u8

dynamic_group_by

ewma

ewma_by

extract_groups

extract_jsonpath

find_many

fmt_no_tty

fused

gcp

hist

http

interpolate

interpolate_by

ipc

ipc_streaming

is_between

is_first_distinct

is_in

is_last_distinct

is_unique

json

lazy

list_any_all

list_count

list_drop_nulls

list_eval

list_gather

list_sample

list_sets

list_to_struct

log

merge_sorted

meta

mode

moment

month_end

month_start

ndarray

nightly

object

offset_by

parquet

partition_by

pct_change

peaks

performant

pivot

polars-lazy

polars-ops

polars-plan

polars-sql

product

propagate_nans

random

range

rank

regex

reinterpret

repeat_by

replace

rle

rolling_window

rolling_window_by

round_series

row_hash

rows

search_sorted

semi_anti_join

serde

serde-lazy

sign

simd

sql

streaming

string_encoding

string_pad

string_reverse

string_to_integer

strings

take_opt_iter

test

timezones

to_dummies

top_k

trigonometry

true_div

unique_counts