polars-plan 0.26.0

Lazy query engine for the Polars DataFrame library

polars-plan

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 73 feature flags, 4 of them enabled by default.

default

compile (default)

This feature flag does not enable additional features.

private (default)

abs

arange

This feature flag does not enable additional features.

arg_where

This feature flag does not enable additional features.

asof_join

bigidx

chunked_ids

coalesce

This feature flag does not enable additional features.

concat_str

cross_join

cse

This feature flag does not enable additional features.

csv-file

cum_agg

date_offset

diff

dot_diagram

This feature flag does not enable additional features.

dot_product

dtype-binary

dtype-categorical

dtype-date

dtype-datetime

dtype-duration

dtype-i16

dtype-i8

dtype-struct

dtype-time

dtype-u16

dtype-u8

dynamic_groupby

ewma

fmt

future

This feature flag does not enable additional features.

interpolate

ipc

is_first

is_in

json

list_to_struct

log

meta

This feature flag does not enable additional features.

mode

moment

object

panic_on_schema

This feature flag does not enable additional features.

parquet

pct_change

pivot

polars-time

This feature flag does not enable additional features.

propagate_nans

pyo3

This feature flag does not enable additional features.

python

random

rank

regex

This feature flag does not enable additional features.

repeat_by

rolling_window

round_series

row_hash

search_sorted

semi_anti_join

serde

This feature flag does not enable additional features.

sign

This feature flag does not enable additional features.

streaming

This feature flag does not enable additional features.

string_justify

strings

temporal

timezones

top_k

trigonometry

This feature flag does not enable additional features.

true_div

This feature flag does not enable additional features.

unique_counts