pitrou commented on a change in pull request #10854:
URL: https://github.com/apache/arrow/pull/10854#discussion_r681672240
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File path: python/pyarrow/table.pxi
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@@ -616,6 +616,53 @@ cdef class RecordBatch(_PandasConvertible):
self.sp_batch = batch
self.batch = batch.get()
+ @staticmethod
+ def from_pydict(mapping, schema=None, metadata=None):
+ """
+ Construct a RecordBatch from Arrow arrays or columns.
+
+ Parameters
+ ----------
+ mapping : dict or Mapping
+ 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
+ """
+ arrays = []
+ if schema is None:
+ names = []
+ for k, v in mapping.items():
+ names.append(k)
+ arrays.append(asarray(v))
+ return RecordBatch.from_arrays(arrays, names, metadata=metadata)
+ elif isinstance(schema, Schema):
+ for field in schema:
+ try:
+ v = mapping[field.name]
+ except KeyError:
+ try:
+ v = mapping[tobytes(field.name)]
Review comment:
I'm not sure allowing bytes keys is useful.
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