nested_to_record(ds, prefix: 'str' = '', sep: 'str' = '.', level: 'int' = 0, max_level: 'int | None' = None)

Converts a nested dict into a flat dict ("record"), unlike json_normalize, it does not attempt to extract a subset of the data.

Parameters

ds : dict or list of dicts

prefix: the prefix, optional, default: "" :

sep : str, default '.'

Nested records will generate names separated by sep, e.g., for sep='.', { 'foo' : { 'bar' : 0 } } -> foo.bar

level: int, optional, default: 0 :

The number of levels in the json string.

max_level: int, optional, default: None :

The max depth to normalize.

versionadded

Returns

d - dict or list of dicts, matching `ds`

A simplified json_normalize

Examples

This example is valid syntax, but we were not able to check execution

>>> nested_to_record(
...     dict(flat1=1, dict1=dict(c=1, d=2), nested=dict(e=dict(c=1, d=2), d=2))
... )
{'flat1': 1, 'dict1.c': 1, 'dict1.d': 2, 'nested.e.c': 1, 'nested.e.d': 2, 'nested.d': 2}

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.io.json._normalize.nested_to_record

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File: /pandas/io/json/_normalize.py#39
type: <class 'function'>
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