import numpy as np
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import pytest
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from pandas._libs import lib
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from pandas import (
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DataFrame,
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Series,
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_testing as tm,
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)
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@pytest.mark.filterwarnings("ignore:Falling back")
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def test_string_array(nullable_string_dtype, any_string_method):
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method_name, args, kwargs = any_string_method
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data = ["a", "bb", np.nan, "ccc"]
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a = Series(data, dtype=object)
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b = Series(data, dtype=nullable_string_dtype)
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if method_name == "decode":
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with pytest.raises(TypeError, match="a bytes-like object is required"):
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getattr(b.str, method_name)(*args, **kwargs)
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return
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expected = getattr(a.str, method_name)(*args, **kwargs)
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result = getattr(b.str, method_name)(*args, **kwargs)
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if isinstance(expected, Series):
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if expected.dtype == "object" and lib.is_string_array(
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expected.dropna().values,
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):
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assert result.dtype == nullable_string_dtype
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result = result.astype(object)
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elif expected.dtype == "object" and lib.is_bool_array(
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expected.values, skipna=True
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):
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assert result.dtype == "boolean"
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result = result.astype(object)
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elif expected.dtype == "bool":
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assert result.dtype == "boolean"
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result = result.astype("bool")
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elif expected.dtype == "float" and expected.isna().any():
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assert result.dtype == "Int64"
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result = result.astype("float")
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elif isinstance(expected, DataFrame):
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columns = expected.select_dtypes(include="object").columns
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assert all(result[columns].dtypes == nullable_string_dtype)
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result[columns] = result[columns].astype(object)
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tm.assert_equal(result, expected)
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@pytest.mark.parametrize(
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"method,expected",
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[
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("count", [2, None]),
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("find", [0, None]),
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("index", [0, None]),
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("rindex", [2, None]),
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],
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)
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def test_string_array_numeric_integer_array(nullable_string_dtype, method, expected):
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s = Series(["aba", None], dtype=nullable_string_dtype)
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result = getattr(s.str, method)("a")
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expected = Series(expected, dtype="Int64")
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tm.assert_series_equal(result, expected)
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@pytest.mark.parametrize(
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"method,expected",
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[
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("isdigit", [False, None, True]),
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("isalpha", [True, None, False]),
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("isalnum", [True, None, True]),
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("isnumeric", [False, None, True]),
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],
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)
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def test_string_array_boolean_array(nullable_string_dtype, method, expected):
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s = Series(["a", None, "1"], dtype=nullable_string_dtype)
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result = getattr(s.str, method)()
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expected = Series(expected, dtype="boolean")
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tm.assert_series_equal(result, expected)
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def test_string_array_extract(nullable_string_dtype):
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# https://github.com/pandas-dev/pandas/issues/30969
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# Only expand=False & multiple groups was failing
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a = Series(["a1", "b2", "cc"], dtype=nullable_string_dtype)
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b = Series(["a1", "b2", "cc"], dtype="object")
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pat = r"(\w)(\d)"
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result = a.str.extract(pat, expand=False)
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expected = b.str.extract(pat, expand=False)
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assert all(result.dtypes == nullable_string_dtype)
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result = result.astype(object)
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tm.assert_equal(result, expected)
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