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Function test_split_regex_explicit

pandas/tests/strings/test_split_partition.py:62–90  ·  view source on GitHub ↗
(any_string_dtype)

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60
61
62def test_split_regex_explicit(any_string_dtype):
63 # explicit regex = True split with compiled regex
64 regex_pat = re.compile(r".jpg")
65 values = Series("xxxjpgzzz.jpg", dtype=any_string_dtype)
66 result = values.str.split(regex_pat)
67 exp = Series([["xx", "zzz", ""]])
68 tm.assert_series_equal(result, exp)
69
70 # explicit regex = False split
71 result = values.str.split(r"\.jpg", regex=False)
72 exp = Series([["xxxjpgzzz.jpg"]])
73 tm.assert_series_equal(result, exp)
74
75 # non explicit regex split, pattern length == 1
76 result = values.str.split(r".")
77 exp = Series([["xxxjpgzzz", "jpg"]])
78 tm.assert_series_equal(result, exp)
79
80 # non explicit regex split, pattern length != 1
81 result = values.str.split(r".jpg")
82 exp = Series([["xx", "zzz", ""]])
83 tm.assert_series_equal(result, exp)
84
85 # regex=False with pattern compiled regex raises error
86 with pytest.raises(
87 ValueError,
88 match="Cannot use a compiled regex as replacement pattern with regex=False",
89 ):
90 values.str.split(regex_pat, regex=False)
91
92
93@pytest.mark.parametrize("expand", [None, False])

Callers

nothing calls this directly

Calls 3

SeriesClass · 0.90
splitMethod · 0.80
raisesMethod · 0.45

Tested by

no test coverage detected