Inzynierka/Lib/site-packages/pandas/core/groupby/base.py

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2023-06-02 12:51:02 +02:00
"""
Provide basic components for groupby.
"""
from __future__ import annotations
import dataclasses
from typing import Hashable
@dataclasses.dataclass(order=True, frozen=True)
class OutputKey:
label: Hashable
position: int
# special case to prevent duplicate plots when catching exceptions when
# forwarding methods from NDFrames
plotting_methods = frozenset(["plot", "hist"])
# cythonized transformations or canned "agg+broadcast", which do not
# require postprocessing of the result by transform.
cythonized_kernels = frozenset(["cumprod", "cumsum", "shift", "cummin", "cummax"])
# List of aggregation/reduction functions.
# These map each group to a single numeric value
reduction_kernels = frozenset(
[
"all",
"any",
"corrwith",
"count",
"first",
"idxmax",
"idxmin",
"last",
"max",
"mean",
"median",
"min",
"nunique",
"prod",
# as long as `quantile`'s signature accepts only
# a single quantile value, it's a reduction.
# GH#27526 might change that.
"quantile",
"sem",
"size",
"skew",
"std",
"sum",
"var",
]
)
# List of transformation functions.
# a transformation is a function that, for each group,
# produces a result that has the same shape as the group.
transformation_kernels = frozenset(
[
"bfill",
"cumcount",
"cummax",
"cummin",
"cumprod",
"cumsum",
"diff",
"ffill",
"fillna",
"ngroup",
"pct_change",
"rank",
"shift",
]
)
# these are all the public methods on Grouper which don't belong
# in either of the above lists
groupby_other_methods = frozenset(
[
"agg",
"aggregate",
"apply",
"boxplot",
# corr and cov return ngroups*ncolumns rows, so they
# are neither a transformation nor a reduction
"corr",
"cov",
"describe",
"dtypes",
"expanding",
"ewm",
"filter",
"get_group",
"groups",
"head",
"hist",
"indices",
"ndim",
"ngroups",
"nth",
"ohlc",
"pipe",
"plot",
"resample",
"rolling",
"tail",
"take",
"transform",
"sample",
"value_counts",
]
)
# Valid values of `name` for `groupby.transform(name)`
# NOTE: do NOT edit this directly. New additions should be inserted
# into the appropriate list above.
transform_kernel_allowlist = reduction_kernels | transformation_kernels