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https://issues.apache.org/jira/browse/ARROW-2572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16866393#comment-16866393
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Joris Van den Bossche commented on ARROW-2572:
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The {{Table.from_arrays}} nowadays clearly mentions that it accepts both arrays
as columns:
https://arrow.apache.org/docs/python/generated/pyarrow.Table.html#pyarrow.Table.from_arrays
(and also the schema is now mentioned in the docstring).
Of course, when looking for a method to create a Table from columns, I agree a
{{from_columns}} is certainly more discoverable. But it might also be API
clutter ..
Would we want to make it an exact alias? Or actually a separate function that
is more strict (not allowing a list of arrays)? Because for a list of columns,
you would not necessarily need to pass the column names (or schema), as is
required in {{from_arrays}}.
> [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
> Fix For: 0.14.0
>
>
> 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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