amol- commented on a change in pull request #12010:
URL: https://github.com/apache/arrow/pull/12010#discussion_r773255388
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File path: python/pyarrow/table.pxi
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@@ -1838,6 +1953,36 @@ cdef class Table(_PandasConvertible):
return ordered_dict(entries)
+ def to_pylist(self):
+ """
+ Convert the Table to a list of dictionaries.
+
+ Returns
+ -------
+ list
+
+ Examples
+ --------
+ >>> import pyarrow as pa
+ >>> table = pa.table([
+ ... pa.array([1, 2]),
+ ... pa.array(["a", "b"])
+ ... ], names=["int", "str"])
+ >>> table.to_pylist()
+ [{'int': [1, 2]}, {'str': ['a', 'b']}]
+ """
+ cdef:
+ size_t i
+ size_t num_columns = self.table.num_columns()
+ list entries = []
+ ChunkedArray column
+
+ for i in range(num_columns):
+ column = self.column(i)
+ entries.append({self.field(i).name: column.to_pylist()})
Review comment:
`self.itercolumns` should do the trickk for you, also the returned
columns has `_name` attribute, so you don't need to look into the field.
Last I suggest we use a list comprehension to speed up the building
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