63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
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import numpy as np
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import pytest
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import pandas as pd
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@pytest.fixture
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def data():
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"""Fixture returning boolean array, with valid and missing values."""
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return pd.array(
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[True, False] * 4 + [np.nan] + [True, False] * 44 + [np.nan] + [True, False],
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dtype="boolean",
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)
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@pytest.mark.parametrize(
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"values, exp_any, exp_all, exp_any_noskip, exp_all_noskip",
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[
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([True, pd.NA], True, True, True, pd.NA),
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([False, pd.NA], False, False, pd.NA, False),
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([pd.NA], False, True, pd.NA, pd.NA),
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([], False, True, False, True),
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# GH-33253: all True / all False values buggy with skipna=False
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([True, True], True, True, True, True),
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([False, False], False, False, False, False),
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],
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)
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def test_any_all(values, exp_any, exp_all, exp_any_noskip, exp_all_noskip):
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# the methods return numpy scalars
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exp_any = pd.NA if exp_any is pd.NA else np.bool_(exp_any)
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exp_all = pd.NA if exp_all is pd.NA else np.bool_(exp_all)
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exp_any_noskip = pd.NA if exp_any_noskip is pd.NA else np.bool_(exp_any_noskip)
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exp_all_noskip = pd.NA if exp_all_noskip is pd.NA else np.bool_(exp_all_noskip)
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for con in [pd.array, pd.Series]:
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a = con(values, dtype="boolean")
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assert a.any() is exp_any
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assert a.all() is exp_all
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assert a.any(skipna=False) is exp_any_noskip
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assert a.all(skipna=False) is exp_all_noskip
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assert np.any(a.any()) is exp_any
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assert np.all(a.all()) is exp_all
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@pytest.mark.parametrize("dropna", [True, False])
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def test_reductions_return_types(dropna, data, all_numeric_reductions):
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op = all_numeric_reductions
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s = pd.Series(data)
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if dropna:
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s = s.dropna()
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if op in ("sum", "prod"):
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assert isinstance(getattr(s, op)(), np.int_)
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elif op == "count":
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# Oddly on the 32 bit build (but not Windows), this is intc (!= intp)
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assert isinstance(getattr(s, op)(), np.integer)
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elif op in ("min", "max"):
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assert isinstance(getattr(s, op)(), np.bool_)
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else:
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# "mean", "std", "var", "median", "kurt", "skew"
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assert isinstance(getattr(s, op)(), np.float64)
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