[jira] [Created] (ARROW-1718) [Python] Creating a pyarrow.Array of date type from pandas causes error

["Bryan Cutler (JIRA)" <ji...@apache.org>]

Bryan Cutler created ARROW-1718:
-----------------------------------

             Summary: [Python] Creating a pyarrow.Array of date type from pandas causes error
                 Key: ARROW-1718
                 URL: https://issues.apache.org/jira/browse/ARROW-1718
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
            Reporter: Bryan Cutler


When calling {Array.from_pandas} with a pandas.Series of dates and specifying the desired pyarrow type, an error occurs.  If the type is not specified then {from_pandas} will interpret the data as a timestamp type.

{code}
import pandas as pd
import pyarrow as pa
import datetime

arr = pa.array([datetime.date(2017, 10, 23)])
c = pa.Column.from_array("d", arr)

s = c.to_pandas()
print(s)
# 0   2017-10-23
# Name: d, dtype: datetime64[ns]

result = pa.Array.from_pandas(s, type=pa.date32())
print(result)
"""
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "pyarrow/array.pxi", line 295, in pyarrow.lib.Array.__repr__ (/home/bryan/git/arrow/python/build/temp.linux-x86_64-2.7/lib.cxx:26221)
  File "/home/bryan/.local/lib/python2.7/site-packages/pyarrow-0.7.2.dev21+ng028f2cd-py2.7-linux-x86_64.egg/pyarrow/formatting.py", line 28, in array_format
    values.append(value_format(x, 0))
  File "/home/bryan/.local/lib/python2.7/site-packages/pyarrow-0.7.2.dev21+ng028f2cd-py2.7-linux-x86_64.egg/pyarrow/formatting.py", line 49, in value_format
    return repr(x)
  File "pyarrow/scalar.pxi", line 63, in pyarrow.lib.ArrayValue.__repr__ (/home/bryan/git/arrow/python/build/temp.linux-x86_64-2.7/lib.cxx:19535)
  File "pyarrow/scalar.pxi", line 137, in pyarrow.lib.Date32Value.as_py (/home/bryan/git/arrow/python/build/temp.linux-x86_64-2.7/lib.cxx:20368)
ValueError: year is out of range
"""
{code}



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