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https://issues.apache.org/jira/browse/ARROW-2572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16913308#comment-16913308
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Joris Van den Bossche commented on ARROW-2572:
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Given that Columns no longer exist, I think this can be closed.
If you have defined fields (eg to add custom metadata), you can pass them in a
schema to create the table:
{code}
field1 = pa.field('field1', pa.int64(), metadata=dict(a="A", b="B"))
field2 = pa.field('field2', pa.int64(), nullable=False)
table = pa.Table.from_arrays([pa.array([1, 2]), pa.array([3, 4])],
schema=pa.schema([field1, field2]))
{code}
> [Python] Add factory function to create a Table from Columns and Schema.
> ------------------------------------------------------------------------
>
> Key: ARROW-2572
> URL: https://issues.apache.org/jira/browse/ARROW-2572
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Affects Versions: 0.9.0
> Reporter: Thomas Buhrmann
> Priority: Minor
> Labels: beginner, documentation
> Fix For: 0.15.0
>
>
> At the moment it seems to be impossible in Python to add custom metadata to a
> Table or Column. The closest I've come is to create a list of new Fields (by
> "appending" metadata to existing Fields), and then creating a new Schema from
> these Fields using the Schema factory function. But I can't see how to create
> a new table from the existing Columns and my new Schema, which I understand
> would be the way to do it in C++?
> Essentially, wrappers for the Table's Make(...) functions seem to be missing.
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