3RNN/Lib/site-packages/pandas/tests/apply/test_series_transform.py
2024-05-26 19:49:15 +02:00

85 lines
2.3 KiB
Python

import numpy as np
import pytest
from pandas import (
DataFrame,
MultiIndex,
Series,
concat,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"args, kwargs, increment",
[((), {}, 0), ((), {"a": 1}, 1), ((2, 3), {}, 32), ((1,), {"c": 2}, 201)],
)
def test_agg_args(args, kwargs, increment):
# GH 43357
def f(x, a=0, b=0, c=0):
return x + a + 10 * b + 100 * c
s = Series([1, 2])
result = s.transform(f, 0, *args, **kwargs)
expected = s + increment
tm.assert_series_equal(result, expected)
@pytest.mark.parametrize(
"ops, names",
[
([np.sqrt], ["sqrt"]),
([np.abs, np.sqrt], ["absolute", "sqrt"]),
(np.array([np.sqrt]), ["sqrt"]),
(np.array([np.abs, np.sqrt]), ["absolute", "sqrt"]),
],
)
def test_transform_listlike(string_series, ops, names):
# GH 35964
with np.errstate(all="ignore"):
expected = concat([op(string_series) for op in ops], axis=1)
expected.columns = names
result = string_series.transform(ops)
tm.assert_frame_equal(result, expected)
def test_transform_listlike_func_with_args():
# GH 50624
s = Series([1, 2, 3])
def foo1(x, a=1, c=0):
return x + a + c
def foo2(x, b=2, c=0):
return x + b + c
msg = r"foo1\(\) got an unexpected keyword argument 'b'"
with pytest.raises(TypeError, match=msg):
s.transform([foo1, foo2], 0, 3, b=3, c=4)
result = s.transform([foo1, foo2], 0, 3, c=4)
expected = DataFrame({"foo1": [8, 9, 10], "foo2": [8, 9, 10]})
tm.assert_frame_equal(result, expected)
@pytest.mark.parametrize("box", [dict, Series])
def test_transform_dictlike(string_series, box):
# GH 35964
with np.errstate(all="ignore"):
expected = concat([np.sqrt(string_series), np.abs(string_series)], axis=1)
expected.columns = ["foo", "bar"]
result = string_series.transform(box({"foo": np.sqrt, "bar": np.abs}))
tm.assert_frame_equal(result, expected)
def test_transform_dictlike_mixed():
# GH 40018 - mix of lists and non-lists in values of a dictionary
df = Series([1, 4])
result = df.transform({"b": ["sqrt", "abs"], "c": "sqrt"})
expected = DataFrame(
[[1.0, 1, 1.0], [2.0, 4, 2.0]],
columns=MultiIndex([("b", "c"), ("sqrt", "abs")], [(0, 0, 1), (0, 1, 0)]),
)
tm.assert_frame_equal(result, expected)