You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
261 lines
8.1 KiB
261 lines
8.1 KiB
"""
|
|
Tests of the groupby API, including internal consistency and with other pandas objects.
|
|
|
|
Tests in this file should only check the existence, names, and arguments of groupby
|
|
methods. It should not test the results of any groupby operation.
|
|
"""
|
|
|
|
import inspect
|
|
|
|
import pytest
|
|
|
|
from pandas import (
|
|
DataFrame,
|
|
Series,
|
|
)
|
|
from pandas.core.groupby.base import (
|
|
groupby_other_methods,
|
|
reduction_kernels,
|
|
transformation_kernels,
|
|
)
|
|
from pandas.core.groupby.generic import (
|
|
DataFrameGroupBy,
|
|
SeriesGroupBy,
|
|
)
|
|
|
|
|
|
def test_tab_completion(mframe):
|
|
grp = mframe.groupby(level="second")
|
|
results = {v for v in dir(grp) if not v.startswith("_")}
|
|
expected = {
|
|
"A",
|
|
"B",
|
|
"C",
|
|
"agg",
|
|
"aggregate",
|
|
"apply",
|
|
"boxplot",
|
|
"filter",
|
|
"first",
|
|
"get_group",
|
|
"groups",
|
|
"hist",
|
|
"indices",
|
|
"last",
|
|
"max",
|
|
"mean",
|
|
"median",
|
|
"min",
|
|
"ngroups",
|
|
"nth",
|
|
"ohlc",
|
|
"plot",
|
|
"prod",
|
|
"size",
|
|
"std",
|
|
"sum",
|
|
"transform",
|
|
"var",
|
|
"sem",
|
|
"count",
|
|
"nunique",
|
|
"head",
|
|
"describe",
|
|
"cummax",
|
|
"quantile",
|
|
"rank",
|
|
"cumprod",
|
|
"tail",
|
|
"resample",
|
|
"cummin",
|
|
"fillna",
|
|
"cumsum",
|
|
"cumcount",
|
|
"ngroup",
|
|
"all",
|
|
"shift",
|
|
"skew",
|
|
"take",
|
|
"pct_change",
|
|
"any",
|
|
"corr",
|
|
"corrwith",
|
|
"cov",
|
|
"dtypes",
|
|
"ndim",
|
|
"diff",
|
|
"idxmax",
|
|
"idxmin",
|
|
"ffill",
|
|
"bfill",
|
|
"rolling",
|
|
"expanding",
|
|
"pipe",
|
|
"sample",
|
|
"ewm",
|
|
"value_counts",
|
|
}
|
|
assert results == expected
|
|
|
|
|
|
def test_all_methods_categorized(mframe):
|
|
grp = mframe.groupby(mframe.iloc[:, 0])
|
|
names = {_ for _ in dir(grp) if not _.startswith("_")} - set(mframe.columns)
|
|
new_names = set(names)
|
|
new_names -= reduction_kernels
|
|
new_names -= transformation_kernels
|
|
new_names -= groupby_other_methods
|
|
|
|
assert not reduction_kernels & transformation_kernels
|
|
assert not reduction_kernels & groupby_other_methods
|
|
assert not transformation_kernels & groupby_other_methods
|
|
|
|
# new public method?
|
|
if new_names:
|
|
msg = f"""
|
|
There are uncategorized methods defined on the Grouper class:
|
|
{new_names}.
|
|
|
|
Was a new method recently added?
|
|
|
|
Every public method On Grouper must appear in exactly one the
|
|
following three lists defined in pandas.core.groupby.base:
|
|
- `reduction_kernels`
|
|
- `transformation_kernels`
|
|
- `groupby_other_methods`
|
|
see the comments in pandas/core/groupby/base.py for guidance on
|
|
how to fix this test.
|
|
"""
|
|
raise AssertionError(msg)
|
|
|
|
# removed a public method?
|
|
all_categorized = reduction_kernels | transformation_kernels | groupby_other_methods
|
|
if names != all_categorized:
|
|
msg = f"""
|
|
Some methods which are supposed to be on the Grouper class
|
|
are missing:
|
|
{all_categorized - names}.
|
|
|
|
They're still defined in one of the lists that live in pandas/core/groupby/base.py.
|
|
If you removed a method, you should update them
|
|
"""
|
|
raise AssertionError(msg)
|
|
|
|
|
|
def test_frame_consistency(groupby_func):
|
|
# GH#48028
|
|
if groupby_func in ("first", "last"):
|
|
msg = "first and last are entirely different between frame and groupby"
|
|
pytest.skip(reason=msg)
|
|
|
|
if groupby_func in ("cumcount", "ngroup"):
|
|
assert not hasattr(DataFrame, groupby_func)
|
|
return
|
|
|
|
frame_method = getattr(DataFrame, groupby_func)
|
|
gb_method = getattr(DataFrameGroupBy, groupby_func)
|
|
result = set(inspect.signature(gb_method).parameters)
|
|
if groupby_func == "size":
|
|
# "size" is a method on GroupBy but property on DataFrame:
|
|
expected = {"self"}
|
|
else:
|
|
expected = set(inspect.signature(frame_method).parameters)
|
|
|
|
# Exclude certain arguments from result and expected depending on the operation
|
|
# Some of these may be purposeful inconsistencies between the APIs
|
|
exclude_expected, exclude_result = set(), set()
|
|
if groupby_func in ("any", "all"):
|
|
exclude_expected = {"kwargs", "bool_only", "axis"}
|
|
elif groupby_func in ("count",):
|
|
exclude_expected = {"numeric_only", "axis"}
|
|
elif groupby_func in ("nunique",):
|
|
exclude_expected = {"axis"}
|
|
elif groupby_func in ("max", "min"):
|
|
exclude_expected = {"axis", "kwargs", "skipna"}
|
|
exclude_result = {"min_count", "engine", "engine_kwargs"}
|
|
elif groupby_func in ("mean", "std", "sum", "var"):
|
|
exclude_expected = {"axis", "kwargs", "skipna"}
|
|
exclude_result = {"engine", "engine_kwargs"}
|
|
elif groupby_func in ("median", "prod", "sem"):
|
|
exclude_expected = {"axis", "kwargs", "skipna"}
|
|
elif groupby_func in ("backfill", "bfill", "ffill", "pad"):
|
|
exclude_expected = {"downcast", "inplace", "axis"}
|
|
elif groupby_func in ("cummax", "cummin"):
|
|
exclude_expected = {"skipna", "args"}
|
|
exclude_result = {"numeric_only"}
|
|
elif groupby_func in ("cumprod", "cumsum"):
|
|
exclude_expected = {"skipna"}
|
|
elif groupby_func in ("pct_change",):
|
|
exclude_expected = {"kwargs"}
|
|
exclude_result = {"axis"}
|
|
elif groupby_func in ("rank",):
|
|
exclude_expected = {"numeric_only"}
|
|
elif groupby_func in ("quantile",):
|
|
exclude_expected = {"method", "axis"}
|
|
|
|
# Ensure excluded arguments are actually in the signatures
|
|
assert result & exclude_result == exclude_result
|
|
assert expected & exclude_expected == exclude_expected
|
|
|
|
result -= exclude_result
|
|
expected -= exclude_expected
|
|
assert result == expected
|
|
|
|
|
|
def test_series_consistency(request, groupby_func):
|
|
# GH#48028
|
|
if groupby_func in ("first", "last"):
|
|
pytest.skip("first and last are entirely different between Series and groupby")
|
|
|
|
if groupby_func in ("cumcount", "corrwith", "ngroup"):
|
|
assert not hasattr(Series, groupby_func)
|
|
return
|
|
|
|
series_method = getattr(Series, groupby_func)
|
|
gb_method = getattr(SeriesGroupBy, groupby_func)
|
|
result = set(inspect.signature(gb_method).parameters)
|
|
if groupby_func == "size":
|
|
# "size" is a method on GroupBy but property on Series
|
|
expected = {"self"}
|
|
else:
|
|
expected = set(inspect.signature(series_method).parameters)
|
|
|
|
# Exclude certain arguments from result and expected depending on the operation
|
|
# Some of these may be purposeful inconsistencies between the APIs
|
|
exclude_expected, exclude_result = set(), set()
|
|
if groupby_func in ("any", "all"):
|
|
exclude_expected = {"kwargs", "bool_only", "axis"}
|
|
elif groupby_func in ("diff",):
|
|
exclude_result = {"axis"}
|
|
elif groupby_func in ("max", "min"):
|
|
exclude_expected = {"axis", "kwargs", "skipna"}
|
|
exclude_result = {"min_count", "engine", "engine_kwargs"}
|
|
elif groupby_func in ("mean", "std", "sum", "var"):
|
|
exclude_expected = {"axis", "kwargs", "skipna"}
|
|
exclude_result = {"engine", "engine_kwargs"}
|
|
elif groupby_func in ("median", "prod", "sem"):
|
|
exclude_expected = {"axis", "kwargs", "skipna"}
|
|
elif groupby_func in ("backfill", "bfill", "ffill", "pad"):
|
|
exclude_expected = {"downcast", "inplace", "axis"}
|
|
elif groupby_func in ("cummax", "cummin"):
|
|
exclude_expected = {"skipna", "args"}
|
|
exclude_result = {"numeric_only"}
|
|
elif groupby_func in ("cumprod", "cumsum"):
|
|
exclude_expected = {"skipna"}
|
|
elif groupby_func in ("pct_change",):
|
|
exclude_expected = {"kwargs"}
|
|
exclude_result = {"axis"}
|
|
elif groupby_func in ("rank",):
|
|
exclude_expected = {"numeric_only"}
|
|
elif groupby_func in ("idxmin", "idxmax"):
|
|
exclude_expected = {"args", "kwargs"}
|
|
elif groupby_func in ("quantile",):
|
|
exclude_result = {"numeric_only"}
|
|
|
|
# Ensure excluded arguments are actually in the signatures
|
|
assert result & exclude_result == exclude_result
|
|
assert expected & exclude_expected == exclude_expected
|
|
|
|
result -= exclude_result
|
|
expected -= exclude_expected
|
|
assert result == expected
|
|
|