DataFrame.from_dict()

pandas.DataFrame.from_dict

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

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

Returns:

DataFrame

© 2011–2012 Lambda Foundry, Inc. and PyData Development Team
© 2008–2011 AQR Capital Management, LLC
© 2008–2014 the pandas development team
Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.18.1/generated/pandas.DataFrame.from_dict.html

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