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Posted to issues@arrow.apache.org by "Li Jin (JIRA)" <ji...@apache.org> on 2017/07/28 15:36:00 UTC
[jira] [Created] (ARROW-1291) [Python] pa.RecordBatch.from_pandas
doesn't accept DataFrame with numeric column names
Li Jin created ARROW-1291:
-----------------------------
Summary: [Python] pa.RecordBatch.from_pandas doesn't accept DataFrame with numeric column names
Key: ARROW-1291
URL: https://issues.apache.org/jira/browse/ARROW-1291
Project: Apache Arrow
Issue Type: Bug
Affects Versions: 0.5.0
Reporter: Li Jin
{code}
import pyarrow as pa
import pandas as pd
df = pd.DataFrame([1])
pa.RecordBatch.from_pandas(df)
{code}
Exception:
{code}
TypeError Traceback (most recent call last)
<ipython-input-5-670ba4a2ddb2> in <module>()
3
4 df = pd.DataFrame([1])
----> 5 pa.RecordBatch.from_pandas(df)
table.pxi in pyarrow.lib.RecordBatch.from_pandas()
table.pxi in pyarrow.lib._dataframe_to_arrays()
/home/icexelloss/miniconda3/envs/spark-dev/lib/python3.5/site-packages/pyarrow/pandas_compat.py in construct_metadata(df, index_levels, preserve_index, types)
187 arrow_type=arrow_type
188 )
--> 189 for name, arrow_type in zip(df.columns, df_types)
190 ] + (
191 [
/home/icexelloss/miniconda3/envs/spark-dev/lib/python3.5/site-packages/pyarrow/pandas_compat.py in <listcomp>(.0)
187 arrow_type=arrow_type
188 )
--> 189 for name, arrow_type in zip(df.columns, df_types)
190 ] + (
191 [
/home/icexelloss/miniconda3/envs/spark-dev/lib/python3.5/site-packages/pyarrow/pandas_compat.py in get_column_metadata(column, name, arrow_type)
125 raise TypeError(
126 'Column name must be a string. Got column {} of type {}'.format(
--> 127 name, type(name).__name__
128 )
129 )
TypeError: Column name must be a string. Got column 0 of type int64
{code}
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