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Convert the DataFrame to a dictionary.
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The type of the key-value pairs can be customized with the parameters
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(see below).
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Parameters
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----------
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orient : str {'dict', 'list', 'series', 'split', 'tight', 'records', 'index'}
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Determines the type of the values of the dictionary.
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- 'dict' (default) : dict like {column -> {index -> value}}
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- 'list' : dict like {column -> [values]}
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- 'series' : dict like {column -> Series(values)}
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- 'split' : dict like
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{'index' -> [index], 'columns' -> [columns], 'data' -> [values]}
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- 'tight' : dict like
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{'index' -> [index], 'columns' -> [columns], 'data' -> [values],
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'index_names' -> [index.names], 'column_names' -> [column.names]}
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- 'records' : list like
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[{column -> value}, ... , {column -> value}]
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- 'index' : dict like {index -> {column -> value}}
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.. versionadded:: 1.4.0
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'tight' as an allowed value for the ``orient`` argument
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into : class, default dict
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The collections.abc.Mapping subclass used for all Mappings
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in the return value. Can be the actual class or an empty
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instance of the mapping type you want. If you want a
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index : bool, default True
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Whether to include the index item (and index_names item if `orient`
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is 'tight') in the returned dictionary. Can only be ``False``
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when `orient` is 'split' or 'tight'.
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.. versionadded:: 2.0.0
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Returns
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-------
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dict, list or collections.abc.Mapping
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The resulting transformation depends on the `orient` parameter.
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