Pandas库之DataFrame使用的学习笔记

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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.

Creates DataFrame object from dictionary by columns or by index allowing dtype specification.

Parameters:

data : dict Of the form {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:

pandas.DataFrame