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CLN: Remove read_orc dtype checking #51604

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Feb 24, 2023
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23 changes: 2 additions & 21 deletions pandas/io/orc.py
Original file line number Diff line number Diff line change
Expand Up @@ -21,13 +21,6 @@
)
from pandas.compat._optional import import_optional_dependency

from pandas.core.dtypes.common import (
is_categorical_dtype,
is_interval_dtype,
is_period_dtype,
is_unsigned_integer_dtype,
)

from pandas.core.arrays import ArrowExtensionArray
from pandas.core.frame import DataFrame

Expand Down Expand Up @@ -184,22 +177,10 @@ def to_orc(
if engine_kwargs is None:
engine_kwargs = {}

# If unsupported dtypes are found raise NotImplementedError
# In Pyarrow 9.0.0 this check will no longer be needed
for dtype in df.dtypes:
if (
is_categorical_dtype(dtype)
or is_interval_dtype(dtype)
or is_period_dtype(dtype)
or is_unsigned_integer_dtype(dtype)
):
raise NotImplementedError(
"The dtype of one or more columns is not supported yet."
)

if engine != "pyarrow":
raise ValueError("engine must be 'pyarrow'")
engine = import_optional_dependency(engine, min_version="7.0.0")
pa = import_optional_dependency("pyarrow")
orc = import_optional_dependency("pyarrow.orc")

was_none = path is None
Expand All @@ -214,7 +195,7 @@ def to_orc(
handles.handle,
**engine_kwargs,
)
except TypeError as e:
except (TypeError, pa.ArrowNotImplementedError) as e:
raise NotImplementedError(
"The dtype of one or more columns is not supported yet."
) from e
Expand Down