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Posted to issues@arrow.apache.org by "LOUSSOUARN Brieuc (Jira)" <ji...@apache.org> on 2022/05/06 10:14:00 UTC
[jira] [Created] (ARROW-16491) Table.from_pandas is doing unsafe cast for float array to int array
LOUSSOUARN Brieuc created ARROW-16491:
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Summary: Table.from_pandas is doing unsafe cast for float array to int array
Key: ARROW-16491
URL: https://issues.apache.org/jira/browse/ARROW-16491
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 7.0.0, 6.0.1
Reporter: LOUSSOUARN Brieuc
Hello,
safe option is working well for scalar but not for list. To reproduce :
{code:java}
import pandas as pd
import pyarrow as pa
int_dataframe = pd.DataFrame({"array": [[1, 2]]})
float_dataframe = pd.DataFrame({"array": [[1.5, 2.3]]})int_table = pa.Table.from_pandas(int_dataframe)
int_table{code}
pyarrow.Table array: list<item: int64> child 0, item: int64 ---- array: [[[1,2]]]
{code:java}
table = pa.Table.from_pandas(float_dataframe, schema=int_table.schema) # this is working instead of throwing a `ArrowInvalid: ... Conversion failed for column array with type`
table{code}
pyarrow.Table array: list<item: int64> child 0, item: int64 ---- array: [[[1,2]]]
Behavior for scalar is correct :
{code:java}
int_dataframe = pd.DataFrame({"array": [1]})
float_dataframe = pd.DataFrame({"array": [1.5]})int_table = pa.Table.from_pandas(int_dataframe)
table = pa.Table.from_pandas(float_dataframe, schema=int_table.schema) # raise:
---------------------------------------------------------------------------
ArrowInvalid Traceback (most recent call last)
Input In [6], in <module>
----> 1 table = pa.Table.from_pandas(float_dataframe, schema=int_table.schema)
2 table
File ~/Documents/chouket/.venv/lib/python3.9/site-packages/pyarrow/table.pxi:1782, in pyarrow.lib.Table.from_pandas()
File ~/Documents/chouket/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py:594, in dataframe_to_arrays(df, schema, preserve_index, nthreads, columns, safe)
589 return (isinstance(arr, np.ndarray) and
590 arr.flags.contiguous and
591 issubclass(arr.dtype.type, np.integer))
593 if nthreads == 1:
--> 594 arrays = [convert_column(c, f)
595 for c, f in zip(columns_to_convert, convert_fields)]
596 else:
597 arrays = []
File ~/Documents/chouket/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py:594, in <listcomp>(.0)
589 return (isinstance(arr, np.ndarray) and
590 arr.flags.contiguous and
591 issubclass(arr.dtype.type, np.integer))
593 if nthreads == 1:
--> 594 arrays = [convert_column(c, f)
595 for c, f in zip(columns_to_convert, convert_fields)]
596 else:
597 arrays = []
File ~/Documents/chouket/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py:581, in dataframe_to_arrays.<locals>.convert_column(col, field)
576 except (pa.ArrowInvalid,
577 pa.ArrowNotImplementedError,
578 pa.ArrowTypeError) as e:
579 e.args += ("Conversion failed for column {!s} with type {!s}"
580 .format(col.name, col.dtype),)
--> 581 raise e
582 if not field_nullable and result.null_count > 0:
583 raise ValueError("Field {} was non-nullable but pandas column "
584 "had {} null values".format(str(field),
585 result.null_count))
File ~/Documents/chouket/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py:575, in dataframe_to_arrays.<locals>.convert_column(col, field)
572 type_ = field.type
574 try:
--> 575 result = pa.array(col, type=type_, from_pandas=True, safe=safe)
576 except (pa.ArrowInvalid,
577 pa.ArrowNotImplementedError,
578 pa.ArrowTypeError) as e:
579 e.args += ("Conversion failed for column {!s} with type {!s}"
580 .format(col.name, col.dtype),)
File ~/Documents/chouket/.venv/lib/python3.9/site-packages/pyarrow/array.pxi:312, in pyarrow.lib.array()
File ~/Documents/chouket/.venv/lib/python3.9/site-packages/pyarrow/array.pxi:83, in pyarrow.lib._ndarray_to_array()
File ~/Documents/chouket/.venv/lib/python3.9/site-packages/pyarrow/error.pxi:99, in pyarrow.lib.check_status()
ArrowInvalid: ('Float value 1.5 was truncated converting to int64', 'Conversion failed for column array with type float64'){code}
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