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classmethod DataFrame.from_dict(data, orient='columns', dtype=None)
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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
DataFrame.from_dict()
2017-01-12 04:45:51
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