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| from datetime import datetime
| import operator
|
| import numpy as np
| import pytest
|
| from pandas import (
| Series,
| _testing as tm,
| )
|
|
| def test_title(any_string_dtype):
| s = Series(["FOO", "BAR", np.nan, "Blah", "blurg"], dtype=any_string_dtype)
| result = s.str.title()
| expected = Series(["Foo", "Bar", np.nan, "Blah", "Blurg"], dtype=any_string_dtype)
| tm.assert_series_equal(result, expected)
|
|
| def test_title_mixed_object():
| s = Series(["FOO", np.nan, "bar", True, datetime.today(), "blah", None, 1, 2.0])
| result = s.str.title()
| expected = Series(
| ["Foo", np.nan, "Bar", np.nan, np.nan, "Blah", np.nan, np.nan, np.nan]
| )
| tm.assert_almost_equal(result, expected)
|
|
| def test_lower_upper(any_string_dtype):
| s = Series(["om", np.nan, "nom", "nom"], dtype=any_string_dtype)
|
| result = s.str.upper()
| expected = Series(["OM", np.nan, "NOM", "NOM"], dtype=any_string_dtype)
| tm.assert_series_equal(result, expected)
|
| result = result.str.lower()
| tm.assert_series_equal(result, s)
|
|
| def test_lower_upper_mixed_object():
| s = Series(["a", np.nan, "b", True, datetime.today(), "foo", None, 1, 2.0])
|
| result = s.str.upper()
| expected = Series(["A", np.nan, "B", np.nan, np.nan, "FOO", np.nan, np.nan, np.nan])
| tm.assert_series_equal(result, expected)
|
| result = s.str.lower()
| expected = Series(["a", np.nan, "b", np.nan, np.nan, "foo", np.nan, np.nan, np.nan])
| tm.assert_series_equal(result, expected)
|
|
| @pytest.mark.parametrize(
| "data, expected",
| [
| (
| ["FOO", "BAR", np.nan, "Blah", "blurg"],
| ["Foo", "Bar", np.nan, "Blah", "Blurg"],
| ),
| (["a", "b", "c"], ["A", "B", "C"]),
| (["a b", "a bc. de"], ["A b", "A bc. de"]),
| ],
| )
| def test_capitalize(data, expected, any_string_dtype):
| s = Series(data, dtype=any_string_dtype)
| result = s.str.capitalize()
| expected = Series(expected, dtype=any_string_dtype)
| tm.assert_series_equal(result, expected)
|
|
| def test_capitalize_mixed_object():
| s = Series(["FOO", np.nan, "bar", True, datetime.today(), "blah", None, 1, 2.0])
| result = s.str.capitalize()
| expected = Series(
| ["Foo", np.nan, "Bar", np.nan, np.nan, "Blah", np.nan, np.nan, np.nan]
| )
| tm.assert_series_equal(result, expected)
|
|
| def test_swapcase(any_string_dtype):
| s = Series(["FOO", "BAR", np.nan, "Blah", "blurg"], dtype=any_string_dtype)
| result = s.str.swapcase()
| expected = Series(["foo", "bar", np.nan, "bLAH", "BLURG"], dtype=any_string_dtype)
| tm.assert_series_equal(result, expected)
|
|
| def test_swapcase_mixed_object():
| s = Series(["FOO", np.nan, "bar", True, datetime.today(), "Blah", None, 1, 2.0])
| result = s.str.swapcase()
| expected = Series(
| ["foo", np.nan, "BAR", np.nan, np.nan, "bLAH", np.nan, np.nan, np.nan]
| )
| tm.assert_series_equal(result, expected)
|
|
| def test_casefold():
| # GH25405
| expected = Series(["ss", np.nan, "case", "ssd"])
| s = Series(["ß", np.nan, "case", "ßd"])
| result = s.str.casefold()
|
| tm.assert_series_equal(result, expected)
|
|
| def test_casemethods(any_string_dtype):
| values = ["aaa", "bbb", "CCC", "Dddd", "eEEE"]
| s = Series(values, dtype=any_string_dtype)
| assert s.str.lower().tolist() == [v.lower() for v in values]
| assert s.str.upper().tolist() == [v.upper() for v in values]
| assert s.str.title().tolist() == [v.title() for v in values]
| assert s.str.capitalize().tolist() == [v.capitalize() for v in values]
| assert s.str.swapcase().tolist() == [v.swapcase() for v in values]
|
|
| def test_pad(any_string_dtype):
| s = Series(["a", "b", np.nan, "c", np.nan, "eeeeee"], dtype=any_string_dtype)
|
| result = s.str.pad(5, side="left")
| expected = Series(
| [" a", " b", np.nan, " c", np.nan, "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
|
| result = s.str.pad(5, side="right")
| expected = Series(
| ["a ", "b ", np.nan, "c ", np.nan, "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
|
| result = s.str.pad(5, side="both")
| expected = Series(
| [" a ", " b ", np.nan, " c ", np.nan, "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
|
|
| def test_pad_mixed_object():
| s = Series(["a", np.nan, "b", True, datetime.today(), "ee", None, 1, 2.0])
|
| result = s.str.pad(5, side="left")
| expected = Series(
| [" a", np.nan, " b", np.nan, np.nan, " ee", np.nan, np.nan, np.nan]
| )
| tm.assert_series_equal(result, expected)
|
| result = s.str.pad(5, side="right")
| expected = Series(
| ["a ", np.nan, "b ", np.nan, np.nan, "ee ", np.nan, np.nan, np.nan]
| )
| tm.assert_series_equal(result, expected)
|
| result = s.str.pad(5, side="both")
| expected = Series(
| [" a ", np.nan, " b ", np.nan, np.nan, " ee ", np.nan, np.nan, np.nan]
| )
| tm.assert_series_equal(result, expected)
|
|
| def test_pad_fillchar(any_string_dtype):
| s = Series(["a", "b", np.nan, "c", np.nan, "eeeeee"], dtype=any_string_dtype)
|
| result = s.str.pad(5, side="left", fillchar="X")
| expected = Series(
| ["XXXXa", "XXXXb", np.nan, "XXXXc", np.nan, "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
|
| result = s.str.pad(5, side="right", fillchar="X")
| expected = Series(
| ["aXXXX", "bXXXX", np.nan, "cXXXX", np.nan, "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
|
| result = s.str.pad(5, side="both", fillchar="X")
| expected = Series(
| ["XXaXX", "XXbXX", np.nan, "XXcXX", np.nan, "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
|
|
| def test_pad_fillchar_bad_arg_raises(any_string_dtype):
| s = Series(["a", "b", np.nan, "c", np.nan, "eeeeee"], dtype=any_string_dtype)
|
| msg = "fillchar must be a character, not str"
| with pytest.raises(TypeError, match=msg):
| s.str.pad(5, fillchar="XY")
|
| msg = "fillchar must be a character, not int"
| with pytest.raises(TypeError, match=msg):
| s.str.pad(5, fillchar=5)
|
|
| @pytest.mark.parametrize("method_name", ["center", "ljust", "rjust", "zfill", "pad"])
| def test_pad_width_bad_arg_raises(method_name, any_string_dtype):
| # see gh-13598
| s = Series(["1", "22", "a", "bb"], dtype=any_string_dtype)
| op = operator.methodcaller(method_name, "f")
|
| msg = "width must be of integer type, not str"
| with pytest.raises(TypeError, match=msg):
| op(s.str)
|
|
| def test_center_ljust_rjust(any_string_dtype):
| s = Series(["a", "b", np.nan, "c", np.nan, "eeeeee"], dtype=any_string_dtype)
|
| result = s.str.center(5)
| expected = Series(
| [" a ", " b ", np.nan, " c ", np.nan, "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
|
| result = s.str.ljust(5)
| expected = Series(
| ["a ", "b ", np.nan, "c ", np.nan, "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
|
| result = s.str.rjust(5)
| expected = Series(
| [" a", " b", np.nan, " c", np.nan, "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
|
|
| def test_center_ljust_rjust_mixed_object():
| s = Series(["a", np.nan, "b", True, datetime.today(), "c", "eee", None, 1, 2.0])
|
| result = s.str.center(5)
| expected = Series(
| [
| " a ",
| np.nan,
| " b ",
| np.nan,
| np.nan,
| " c ",
| " eee ",
| np.nan,
| np.nan,
| np.nan,
| ]
| )
| tm.assert_series_equal(result, expected)
|
| result = s.str.ljust(5)
| expected = Series(
| [
| "a ",
| np.nan,
| "b ",
| np.nan,
| np.nan,
| "c ",
| "eee ",
| np.nan,
| np.nan,
| np.nan,
| ]
| )
| tm.assert_series_equal(result, expected)
|
| result = s.str.rjust(5)
| expected = Series(
| [
| " a",
| np.nan,
| " b",
| np.nan,
| np.nan,
| " c",
| " eee",
| np.nan,
| np.nan,
| np.nan,
| ]
| )
| tm.assert_series_equal(result, expected)
|
|
| def test_center_ljust_rjust_fillchar(any_string_dtype):
| s = Series(["a", "bb", "cccc", "ddddd", "eeeeee"], dtype=any_string_dtype)
|
| result = s.str.center(5, fillchar="X")
| expected = Series(
| ["XXaXX", "XXbbX", "Xcccc", "ddddd", "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
| expected = np.array([v.center(5, "X") for v in np.array(s)], dtype=np.object_)
| tm.assert_numpy_array_equal(np.array(result, dtype=np.object_), expected)
|
| result = s.str.ljust(5, fillchar="X")
| expected = Series(
| ["aXXXX", "bbXXX", "ccccX", "ddddd", "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
| expected = np.array([v.ljust(5, "X") for v in np.array(s)], dtype=np.object_)
| tm.assert_numpy_array_equal(np.array(result, dtype=np.object_), expected)
|
| result = s.str.rjust(5, fillchar="X")
| expected = Series(
| ["XXXXa", "XXXbb", "Xcccc", "ddddd", "eeeeee"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
| expected = np.array([v.rjust(5, "X") for v in np.array(s)], dtype=np.object_)
| tm.assert_numpy_array_equal(np.array(result, dtype=np.object_), expected)
|
|
| def test_center_ljust_rjust_fillchar_bad_arg_raises(any_string_dtype):
| s = Series(["a", "bb", "cccc", "ddddd", "eeeeee"], dtype=any_string_dtype)
|
| # If fillchar is not a character, normal str raises TypeError
| # 'aaa'.ljust(5, 'XY')
| # TypeError: must be char, not str
| template = "fillchar must be a character, not {dtype}"
|
| with pytest.raises(TypeError, match=template.format(dtype="str")):
| s.str.center(5, fillchar="XY")
|
| with pytest.raises(TypeError, match=template.format(dtype="str")):
| s.str.ljust(5, fillchar="XY")
|
| with pytest.raises(TypeError, match=template.format(dtype="str")):
| s.str.rjust(5, fillchar="XY")
|
| with pytest.raises(TypeError, match=template.format(dtype="int")):
| s.str.center(5, fillchar=1)
|
| with pytest.raises(TypeError, match=template.format(dtype="int")):
| s.str.ljust(5, fillchar=1)
|
| with pytest.raises(TypeError, match=template.format(dtype="int")):
| s.str.rjust(5, fillchar=1)
|
|
| def test_zfill(any_string_dtype):
| s = Series(["1", "22", "aaa", "333", "45678"], dtype=any_string_dtype)
|
| result = s.str.zfill(5)
| expected = Series(
| ["00001", "00022", "00aaa", "00333", "45678"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
| expected = np.array([v.zfill(5) for v in np.array(s)], dtype=np.object_)
| tm.assert_numpy_array_equal(np.array(result, dtype=np.object_), expected)
|
| result = s.str.zfill(3)
| expected = Series(["001", "022", "aaa", "333", "45678"], dtype=any_string_dtype)
| tm.assert_series_equal(result, expected)
| expected = np.array([v.zfill(3) for v in np.array(s)], dtype=np.object_)
| tm.assert_numpy_array_equal(np.array(result, dtype=np.object_), expected)
|
| s = Series(["1", np.nan, "aaa", np.nan, "45678"], dtype=any_string_dtype)
| result = s.str.zfill(5)
| expected = Series(
| ["00001", np.nan, "00aaa", np.nan, "45678"], dtype=any_string_dtype
| )
| tm.assert_series_equal(result, expected)
|
|
| def test_wrap(any_string_dtype):
| # test values are: two words less than width, two words equal to width,
| # two words greater than width, one word less than width, one word
| # equal to width, one word greater than width, multiple tokens with
| # trailing whitespace equal to width
| s = Series(
| [
| "hello world",
| "hello world!",
| "hello world!!",
| "abcdefabcde",
| "abcdefabcdef",
| "abcdefabcdefa",
| "ab ab ab ab ",
| "ab ab ab ab a",
| "\t",
| ],
| dtype=any_string_dtype,
| )
|
| # expected values
| expected = Series(
| [
| "hello world",
| "hello world!",
| "hello\nworld!!",
| "abcdefabcde",
| "abcdefabcdef",
| "abcdefabcdef\na",
| "ab ab ab ab",
| "ab ab ab ab\na",
| "",
| ],
| dtype=any_string_dtype,
| )
|
| result = s.str.wrap(12, break_long_words=True)
| tm.assert_series_equal(result, expected)
|
|
| def test_wrap_unicode(any_string_dtype):
| # test with pre and post whitespace (non-unicode), NaN, and non-ascii Unicode
| s = Series(
| [" pre ", np.nan, "\xac\u20ac\U00008000 abadcafe"], dtype=any_string_dtype
| )
| expected = Series(
| [" pre", np.nan, "\xac\u20ac\U00008000 ab\nadcafe"], dtype=any_string_dtype
| )
| result = s.str.wrap(6)
| tm.assert_series_equal(result, expected)
|
|
