Pandas DataFrame: from_dict() function

Last update on August 19 2022 21:50:51 (UTC/GMT +8 hours)

DataFrame - from_dict() function

The from_dict() function is used to construct DataFrame from dict of array-like or dicts.

Syntax:

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

Parameters:

Name	Description	Type/Default Value	Required / Optional
data	Of the form {field : array-like} or {field : dict}.	dict	Required
orient	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'.	{'columns', 'index'} Default Value: 'columns'	Required
dtype	Data type to force, otherwise infer.	dtype Default Value: None	Required
columns	Column labels to use when orient='index'. Raises a ValueError if used with orient='columns'.	list Default Value: None	Required

Returns: DataFrame

Example:

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