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
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@@ -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.
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