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pandas.DataFrame.from_dict

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

Construct DataFrame from dict of array-like or dicts

Parameters:

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.

Returns:

DataFrame

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