Pandas库之DataFrame使用的学习笔记

最新推荐文章于 2024-06-02 19:37:58 发布

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这篇博客介绍了如何使用Pandas库的DataFrame.from_dict方法从字典创建DataFrame对象，详细阐述了方法参数的用法，包括数据排列方式、数据类型指定和列名设置。

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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:

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

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