amol- commented on a change in pull request #12010:
URL: https://github.com/apache/arrow/pull/12010#discussion_r773251719
##########
File path: python/pyarrow/table.pxi
##########
@@ -1016,6 +1058,21 @@ cdef class RecordBatch(_PandasConvertible):
entries.append((name, column))
return ordered_dict(entries)
+ def to_pylist(self):
+ """
+ Convert the RecordBatch to a list of dictionaries.
+
+ Returns
+ -------
+ list
+ """
+ entries = []
+ for i in range(self.batch.num_columns()):
+ name = bytes(self.batch.column_name(i)).decode('utf8')
+ column = self[i].to_pylist()
+ entries.append({name: column})
Review comment:
Given this might involve thousand of columns I think there is value in
building it as a list comprehension, it's generally faster than multiple
appends.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: github-unsubscr...@arrow.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
