amol- commented on a change in pull request #12010:
URL: https://github.com/apache/arrow/pull/12010#discussion_r774506470
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File path: python/pyarrow/table.pxi
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@@ -671,13 +671,55 @@ cdef class RecordBatch(_PandasConvertible):
Returns
-------
RecordBatch
+
+ Examples
+ --------
+ >>> import pyarrow as pa
+ >>> pydict = {'int': [1, 2], 'str': ['a', 'b']}
+ >>> pa.RecordBatch.from_pydict(pydict)
+ pyarrow.RecordBatch
+ int: int64
+ str: string
"""
return _from_pydict(cls=RecordBatch,
mapping=mapping,
schema=schema,
metadata=metadata)
+ @staticmethod
+ def from_pylist(mapping, schema=None, metadata=None):
+ """
+ Construct a RecordBatch from Arrow arrays or columns.
+
+ Parameters
+ ----------
+ mapping : list of dicts or Mappings
+ A mapping of strings to Arrays or Python lists.
+ schema : Schema, default None
+ If not passed, will be inferred from the Mapping values.
+ metadata : dict or Mapping, default None
+ Optional metadata for the schema (if inferred).
+
+ Returns
+ -------
+ RecordBatch
+
+ Examples
+ --------
+ >>> import pyarrow as pa
+ >>> pylist = [{'int': [1, 2]}, {'str': ['a', 'b']}]
+ >>> pa.RecordBatch.from_pylist(pylist)
Review comment:
Agree, As a user I would personally find more obvious that it accepts a
list of rows whhen building a RecordBatch or Table.
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