polars.DataFrame.to_dicts

DataFrame.to_dicts() → list[dict[str, Any]]

Convert every row to a dictionary of python-native values.

Notes

If you have ns-precision temporal values you should be aware that python natively only supports up to us-precision; if this matters you should export to a different format.

Examples

>>> df = pl.DataFrame({"foo": [1, 2, 3], "bar": [4, 5, 6]})
>>> df.to_dicts()
[{'foo': 1, 'bar': 4}, {'foo': 2, 'bar': 5}, {'foo': 3, 'bar': 6}]