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Type-coerce indexes when coercion requested at schema level #1139

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Mar 24, 2023
Merged

Type-coerce indexes when coercion requested at schema level #1139

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2 changes: 1 addition & 1 deletion pandera/backends/pandas/container.py
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Original file line number Diff line number Diff line change
Expand Up @@ -449,7 +449,7 @@ def _try_coercion(coerce_fn, obj):
if schema.coerce:
# coercing at the dataframe-level should apply index coercion
# for both single- and multi-indexes.
index_schema._coerce = True
index_schema.coerce = True
coerced_index = _try_coercion(index_schema.coerce_dtype, obj.index)
if coerced_index is not None:
obj.index = coerced_index
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9 changes: 9 additions & 0 deletions tests/core/test_schema_components.py
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Expand Up @@ -82,6 +82,15 @@ def test_index_schema_coerce(dtype):
assert schema.index.dtype.check(validated_index_dtype)


@pytest.mark.parametrize("dtype", [Float, Int, String])
def test_index_schema_coerce_when_coerce_specified_at_schema_level(dtype):
"""Test that index can be type-coerced when coercion requested at schema level"""
schema = DataFrameSchema(index=Index(dtype), coerce=True)
df = pd.DataFrame(index=pd.Index([1, 2, 3, 4], dtype="int64"))
validated_index_dtype = Engine.dtype(schema(df).index.dtype)
assert schema.index.dtype.check(validated_index_dtype)


def test_multi_index_columns() -> None:
"""Tests that multi-index Columns within DataFrames validate correctly."""
schema = DataFrameSchema(
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