jorisvandenbossche commented on a change in pull request #12627:
URL: https://github.com/apache/arrow/pull/12627#discussion_r831844988
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File path: docs/source/python/data.rst
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@@ -518,17 +518,15 @@ Record Batch Readers
Many functions in PyArrow either return or take as an argument a
:class:`RecordBatchReader`.
It can be used like any iterable of record batches, but also provides their
common
-schema without having to get any of the batches.
-
-.. ipython:: python
-
- schema = pa.schema([('x', pa.int64())])
- def iter_record_batches():
- for i in range(2):
- yield pa.RecordBatch.from_arrays([pa.array([1, 2, 3])], schema=schema)
- reader = pa.RecordBatchReader.from_batches(schema, iter_record_batches())
- print(reader.schema)
- for batch in reader:
- print(batch)
+schema without having to get any of the batches.::
+
+ >>> schema = pa.schema([('x', pa.int64())])
+ >>> def iter_record_batches():
+ ... for i in range(2):
+ ... yield pa.RecordBatch.from_arrays([pa.array([1, 2, 3])],
schema=schema)
+ >>> reader = pa.RecordBatchReader.from_batches(schema,
iter_record_batches())
+ >>> print(reader.schema)
Review comment:
You can add the output here of the print statement (so users see what
the code does, the same as in the docstrings)
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