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TST: Test dtype sparseDtype with specificd fill value #50743

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Merged
merged 3 commits into from
Jan 16, 2023
Merged

TST: Test dtype sparseDtype with specificd fill value #50743

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c4d1bae
test dtype sparseDtype with specificd fill value
Jan 14, 2023
436a569
rename and remove comment
Jan 15, 2023
613ce4f
fix typo and import
Jan 15, 2023
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13 changes: 13 additions & 0 deletions pandas/tests/arrays/sparse/test_astype.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,8 @@
SparseArray,
SparseDtype,
)
from pandas.core.frame import DataFrame
from pandas.core.series import Series


class TestAstype:
Expand Down Expand Up @@ -131,3 +133,14 @@ def test_astype_dt64_to_int64(self):
arr3 = SparseArray(values, dtype=dtype)
result3 = arr3.astype("int64")
tm.assert_numpy_array_equal(result3, expected)


def test_dtype_sparse_with_specified_fill_value():
# GH 49987
# specify fill_value which not present in data
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Better to adjust the test name than to leave a comment

CI failures seem legit

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How about this one? Apparently I'm not very good at naming them.

df = DataFrame([["a", 0], ["b", 1], ["b", 2]], columns=["A", "B"])
result = df["A"].astype(SparseDtype("category", fill_value="c"))
expected = Series(
["a", "b", "b"], name="A", dtype=SparseDtype("object", fill_value="c")
)
tm.assert_series_equal(result, expected)