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https://issues.apache.org/jira/browse/ARROW-3030?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche closed ARROW-3030.
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Resolution: Duplicate
> [Python] Create UnionArray from mixed-type pandas categorical
> -------------------------------------------------------------
>
> Key: ARROW-3030
> URL: https://issues.apache.org/jira/browse/ARROW-3030
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.10.0
> Reporter: Christopher Brooks
> Priority: Major
>
> While troublehsooting ARROW-2966 I updated my pandas dataframe with more type
> information. Specifically, I changed some mixed type columns to categorical
> instead of object. I assumed that the Table.from_pandas() would inspect the
> pandas type information and respect that when converting it over to a table.
> It doesn't seem to.
> For instance, I expected this code to work, but it throws the same
> ArrowTypeError as ARROW-2966.
>
> {code:java}
> import pandas as pd
> import pyarrow as pa
> import numpy as np
> df=pd.DataFrame.from_dict({"col":[0,1,2,3,""]},dtype="category")
> tb = pa.Table.from_pandas(df, columns=["col"])
> {code}
>
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