Table Of Contents


Enter search terms or a module, class or function name.


classmethod DataFrame.from_dict(data, orient='columns', dtype=None, columns=None)[source]

Construct DataFrame from dict of array-like or dicts


data : dict

{field : array-like} or {field : dict}

orient : {‘columns’, ‘index’}, default ‘columns’

The “orientation” of the data. If the keys of the passed dict should be the columns of the resulting DataFrame, pass ‘columns’ (default). Otherwise if the keys should be rows, pass ‘index’.

dtype : dtype, default None

Data type to force, otherwise infer

columns: list, default None

Column labels to use when orient=’index’. Raises a ValueError if used with orient=’columns’

New in version 0.23.0.



Scroll To Top