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https://issues.apache.org/jira/browse/ARROW-2814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney updated ARROW-2814:
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Summary: [Python] Struct type inference and conversion works for lists but
not NumPy arrays with dtype object (was: [Python] Type inference bug in
Table.from_pandas)
> [Python] Struct type inference and conversion works for lists but not NumPy
> arrays with dtype object
> ----------------------------------------------------------------------------------------------------
>
> 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
> Assignee: Wes McKinney
> Priority: Blocker
> Fix For: 0.10.0
>
> 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.
> h2. 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)
> h2. Fails
> table_output = pa.Table.from_pandas(panda_table)
> del panda_table['payload']
> h2. Works
> table_output = pa.Table.from_pandas(panda_table)
> h2. 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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