[package]
name = "polars-python"
version = { workspace = true }
authors = { workspace = true }
edition = { workspace = true }
homepage = { workspace = true }
license = { workspace = true }
repository = { workspace = true }
description = "Enable running Polars workloads in Python"
[dependencies]
polars-compute = { workspace = true }
polars-core = { workspace = true, features = ["python"] }
polars-error = { workspace = true }
polars-expr = { workspace = true }
polars-io = { workspace = true }
polars-lazy = { workspace = true, features = ["python"] }
polars-mem-engine = { workspace = true }
polars-ops = { workspace = true, features = ["bitwise"] }
polars-parquet = { workspace = true, optional = true }
polars-plan = { workspace = true }
polars-row = { workspace = true }
polars-time = { workspace = true }
polars-utils = { workspace = true }
ahash = { workspace = true }
arboard = { workspace = true, optional = true }
arrow = { workspace = true }
bincode = { workspace = true }
bytemuck = { workspace = true }
bytes = { workspace = true }
chrono = { workspace = true }
chrono-tz = { workspace = true }
either = { workspace = true }
flate2 = { workspace = true }
itoa = { workspace = true }
libc = { workspace = true }
ndarray = { workspace = true }
num-traits = { workspace = true }
numpy = { workspace = true }
once_cell = { workspace = true }
pyo3 = { workspace = true, features = ["abi3-py39", "chrono", "chrono-tz", "multiple-pymethods"] }
rayon = { workspace = true }
recursive = { workspace = true }
serde_json = { workspace = true, optional = true }
thiserror = { workspace = true }
[dependencies.polars]
workspace = true
features = [
"abs",
"approx_unique",
"array_any_all",
"arg_where",
"bitwise",
"business",
"concat_str",
"cum_agg",
"cumulative_eval",
"dataframe_arithmetic",
"month_start",
"month_end",
"offset_by",
"diagonal_concat",
"diff",
"dot_diagram",
"dot_product",
"dtype-categorical",
"dtype-full",
"dynamic_group_by",
"ewma",
"ewma_by",
"fmt",
"fused",
"interpolate",
"interpolate_by",
"is_first_distinct",
"is_last_distinct",
"is_unique",
"is_between",
"lazy",
"list_eval",
"list_to_struct",
"list_arithmetic",
"array_arithmetic",
"array_to_struct",
"log",
"mode",
"moment",
"ndarray",
"partition_by",
"product",
"random",
"range",
"rank",
"reinterpret",
"replace",
"rolling_window",
"rolling_window_by",
"round_series",
"row_hash",
"rows",
"semi_anti_join",
"serde-lazy",
"string_encoding",
"string_normalize",
"string_reverse",
"string_to_integer",
"string_pad",
"strings",
"temporal",
"to_dummies",
"true_div",
"unique_counts",
"zip_with",
"cov",
]
[build-dependencies]
version_check = { workspace = true }
[features]
avro = ["polars/avro"]
catalog = ["polars-lazy/catalog"]
parquet = ["polars/parquet", "polars-parquet"]
ipc = ["polars/ipc"]
ipc_streaming = ["polars/ipc_streaming"]
is_in = ["polars/is_in"]
json = ["polars/serde", "serde_json", "polars/json", "polars-utils/serde"]
trigonometry = ["polars/trigonometry"]
sign = ["polars/sign"]
asof_join = ["polars/asof_join"]
iejoin = ["polars/iejoin"]
cross_join = ["polars/cross_join"]
pct_change = ["polars/pct_change"]
repeat_by = ["polars/repeat_by"]
streaming = ["polars/streaming"]
meta = ["polars/meta"]
index_of = ["polars/index_of"]
search_sorted = ["polars/search_sorted"]
decompress = ["polars/decompress"]
regex = ["polars/regex"]
csv = ["polars/csv"]
clipboard = ["arboard"]
extract_jsonpath = ["polars/extract_jsonpath"]
pivot = ["polars/pivot"]
top_k = ["polars/top_k"]
propagate_nans = ["polars/propagate_nans"]
sql = ["polars/sql"]
performant = ["polars/performant"]
timezones = ["polars/timezones"]
cse = ["polars/cse"]
merge_sorted = ["polars/merge_sorted"]
list_gather = ["polars/list_gather"]
list_count = ["polars/list_count"]
array_count = ["polars/array_count", "polars/dtype-array"]
binary_encoding = ["polars/binary_encoding"]
list_sets = ["polars-lazy/list_sets"]
list_any_all = ["polars/list_any_all"]
array_any_all = ["polars/array_any_all", "polars/dtype-array"]
list_drop_nulls = ["polars/list_drop_nulls"]
list_sample = ["polars/list_sample"]
cutqcut = ["polars/cutqcut"]
rle = ["polars/rle"]
extract_groups = ["polars/extract_groups"]
ffi_plugin = ["polars-plan/ffi_plugin"]
cloud = ["polars/cloud", "polars/aws", "polars/gcp", "polars/azure", "polars/http"]
peaks = ["polars/peaks"]
hist = ["polars/hist"]
find_many = ["polars/find_many"]
new_streaming = ["polars-lazy/new_streaming"]
bitwise = ["polars/bitwise"]
approx_unique = ["polars/approx_unique"]
string_normalize = ["polars/string_normalize"]
dtype-i8 = []
dtype-i16 = []
dtype-u8 = []
dtype-u16 = []
dtype-i128 = []
dtype-array = []
object = ["polars/object"]
dtypes = [
"dtype-array",
"dtype-i16",
"dtype-i8",
"dtype-u16",
"dtype-u8",
"dtype-i128",
"object",
]
operations = [
"approx_unique",
"array_any_all",
"array_count",
"bitwise",
"is_in",
"repeat_by",
"trigonometry",
"sign",
"performant",
"list_gather",
"list_count",
"list_sets",
"list_any_all",
"list_drop_nulls",
"list_sample",
"cutqcut",
"rle",
"extract_groups",
"pivot",
"extract_jsonpath",
"asof_join",
"cross_join",
"pct_change",
"index_of",
"search_sorted",
"merge_sorted",
"top_k",
"propagate_nans",
"timezones",
"peaks",
"hist",
"find_many",
"string_normalize",
]
io = [
"json",
"parquet",
"ipc",
"ipc_streaming",
"avro",
"csv",
"cloud",
"clipboard",
]
optimizations = [
"cse",
"polars/fused",
"streaming",
]
polars_cloud = ["polars/polars_cloud", "polars/ir_serde"]
nightly = ["polars/nightly"]
pymethods = []
all = [
"pymethods",
"optimizations",
"io",
"operations",
"dtypes",
"meta",
"decompress",
"regex",
"sql",
"binary_encoding",
"ffi_plugin",
"polars_cloud",
"new_streaming",
]
default = [
"all",
]