rob created ARROW-2814:
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Summary: Error inferring Arrow type for Python object array. Got
Python object of type dict but can only handle these types: string, bool,
float, int, date, time, decimal, list, array
Key: ARROW-2814
URL: https://issues.apache.org/jira/browse/ARROW-2814
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 0.9.0
Reporter: rob
Attachments:
part-00000-8f03690f-736d-43a9-9287-6db9e228d59c.c000.gz.parquet
There is a problem when trying to run pa.Table.from_pandas() on a parquet file
that has a json string in it. I have attached the file to this ticket that is
the source of the problem and the code below will show the error
# Reproducible code
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
pd.options.display.max_colwidth = 10000
pq_table =
pq.read_table("part-00000-8f03690f-736d-43a9-9287-6db9e228d59c.c000.gz.parquet")
panda_table = pq_table.to_pandas()
orginal_count = len(panda_table)
# Fails
table_output = pa.Table.from_pandas(panda_table)
del panda_table['payload']
# Works
table_output = pa.Table.from_pandas(panda_table)
# payload is the faulty column. Print out data
pq_table =
pq.read_table("part-00000-8f03690f-736d-43a9-9287-6db9e228d59c.c000.gz.parquet")
panda_table = pq_table.to_pandas()
orginal_count = len(panda_table)
table_output = pa.Table.from_pandas(panda_table[['payload']])
panda_table[['payload']]
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