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https://issues.apache.org/jira/browse/ARROW-7039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16964041#comment-16964041
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Joris Van den Bossche commented on ARROW-7039:
----------------------------------------------
Ah, this was probably never covered by the tests before .. Thanks for the note,
will do a quick PR!
> [Python] Typecheck expects pandas to be installed
> -------------------------------------------------
>
> Key: ARROW-7039
> URL: https://issues.apache.org/jira/browse/ARROW-7039
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Krisztian Szucs
> Priority: Major
> Fix For: 1.0.0
>
>
> See nightly build failure:
> https://circleci.com/gh/ursa-labs/crossbow/4285?utm_campaign=vcs-integration-link&utm_medium=referral&utm_source=github-build-link
> The following patch fixes it:
> {code}
> diff --git a/python/pyarrow/table.pxi b/python/pyarrow/table.pxi
> index b65dac4cb..e0a82fd76 100644
> --- a/python/pyarrow/table.pxi
> +++ b/python/pyarrow/table.pxi
> @@ -17,6 +17,7 @@
> import warnings
> +
> cdef class ChunkedArray(_PandasConvertible):
> """
> Array backed via one or more memory chunks.
> @@ -1579,7 +1580,7 @@ def record_batch(data, names=None, schema=None,
> metadata=None):
> if isinstance(data, (list, tuple)):
> return RecordBatch.from_arrays(data, names=names, schema=schema,
> metadata=metadata)
> - elif isinstance(data, _pandas_api.pd.DataFrame):
> + elif _pandas_api.is_data_frame(data):
> return RecordBatch.from_pandas(data, schema=schema)
> else:
> return TypeError("Expected pandas DataFrame or python dictionary")
> {code}
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