Pandas DataFrame: to_dict() function

Last update on August 19 2022 21:50:33 (UTC/GMT +8 hours)

DataFrame - to_dict() function

The to_dict() function is used to convert the DataFrame to a dictionary.

Syntax:

DataFrame.to_dict(self, orient='dict', into=<class 'dict'>)

Parameters:

Name	Description	Type / Default Value	Required / Optional
orient	Determines the type of the values of the dictionary. 'dict' (default) : dict like {column -> {index -> value}} 'list' : dict like {column -> [values]} 'series' : dict like {column -> Series(values)} 'split' : dict like {'index' -> [index], 'columns' -> [columns], 'data' -> [values]} 'records' : list like [{column -> value}, … , {column -> value}] 'index' : dict like {index -> {column -> value}} Abbreviations are allowed. s indicates series and sp indicates split.	str {'dict', 'list', 'series', 'split', 'records', 'index'}	Required
into	The collections.abc.Mapping subclass used for all Mappings in the return value. Can be the actual class or an empty instance of the mapping type you want. If you want a collections.defaultdict, you must pass it initialized.	class Default Value: dict	Required

Returns: dict, list or collections.abc.Mapping
Return a collections.abc.Mapping object representing the DataFrame. The resulting transformation depends on the orient parameter.

Example:

Download the Pandas DataFrame Notebooks from here.

Previous: DataFrame - to_sql() function
Next: DataFrame - to_excel() function