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TST (string dtype): un-xfail string tests specific to object dtype #59433

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Merged
merged 4 commits into from
Nov 4, 2024
Merged

TST (string dtype): un-xfail string tests specific to object dtype #59433

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9bd4032
TST: fix xfailed algos tests
jbrockmendel Aug 6, 2024
beee346
TST: un-xfail string tests specific to object
jbrockmendel Aug 7, 2024
d89766b
Merge branch 'main' into tst-str-2
jbrockmendel Aug 13, 2024
4dd0aa8
Merge remote-tracking branch 'upstream/main' into tst-str-2
jorisvandenbossche Nov 4, 2024
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TST: un-xfail string tests specific to object
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@jbrockmendel
jbrockmendel committed Aug 7, 2024
commit beee34626b86aaeb0fdee94ab1116595a0931234
6 changes: 2 additions & 4 deletions pandas/tests/copy_view/test_interp_fillna.py
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Original file line number Diff line number Diff line change
@@ -1,8 +1,6 @@
import numpy as np
import pytest

from pandas._config import using_string_dtype

from pandas import (
NA,
DataFrame,
Expand Down Expand Up @@ -112,18 +110,18 @@ def test_interp_fill_functions_inplace(func, dtype):
assert view._mgr._has_no_reference(0)


@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
def test_interpolate_cannot_with_object_dtype():
df = DataFrame({"a": ["a", np.nan, "c"], "b": 1})
df["a"] = df["a"].astype(object)

msg = "DataFrame cannot interpolate with object dtype"
with pytest.raises(TypeError, match=msg):
df.interpolate()


@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
def test_interpolate_object_convert_no_op():
df = DataFrame({"a": ["a", "b", "c"], "b": 1})
df["a"] = df["a"].astype(object)
arr_a = get_array(df, "a")

# Now CoW makes a copy, it should not!
Expand Down
3 changes: 1 addition & 2 deletions pandas/tests/copy_view/test_replace.py
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Expand Up @@ -257,10 +257,9 @@ def test_replace_empty_list():
assert not df2._mgr._has_no_reference(0)


@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
@pytest.mark.parametrize("value", ["d", None])
def test_replace_object_list_inplace(value):
df = DataFrame({"a": ["a", "b", "c"]})
df = DataFrame({"a": ["a", "b", "c"]}, dtype=object)
arr = get_array(df, "a")
df.replace(["c"], value, inplace=True)
assert np.shares_memory(arr, get_array(df, "a"))
Expand Down