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Sep 8, 2020
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pandas docs json_normalize example #36194

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8 changes: 4 additions & 4 deletions pandas/io/json/_normalize.py
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Original file line number Diff line number Diff line change
Expand Up @@ -176,7 +176,7 @@ def _json_normalize(
... 'fitness': {'height': 130, 'weight': 60}},
... {'id': 2, 'name': 'Faye Raker',
... 'fitness': {'height': 130, 'weight': 60}}]
>>> json_normalize(data, max_level=0)
>>> pandas.json_normalize(data, max_level=0)
fitness id name
0 {'height': 130, 'weight': 60} 1.0 Cole Volk
1 {'height': 130, 'weight': 60} NaN Mose Reg
Expand All @@ -191,7 +191,7 @@ def _json_normalize(
... 'fitness': {'height': 130, 'weight': 60}},
... {'id': 2, 'name': 'Faye Raker',
... 'fitness': {'height': 130, 'weight': 60}}]
>>> json_normalize(data, max_level=1)
>>> pandas.json_normalize(data, max_level=1)
fitness.height fitness.weight id name
0 130 60 1.0 Cole Volk
1 130 60 NaN Mose Reg
Expand All @@ -208,7 +208,7 @@ def _json_normalize(
... 'info': {'governor': 'John Kasich'},
... 'counties': [{'name': 'Summit', 'population': 1234},
... {'name': 'Cuyahoga', 'population': 1337}]}]
>>> result = json_normalize(data, 'counties', ['state', 'shortname',
>>> result = pandas.json_normalize(data, 'counties', ['state', 'shortname',
... ['info', 'governor']])
>>> result
name population state shortname info.governor
Expand All @@ -219,7 +219,7 @@ def _json_normalize(
4 Cuyahoga 1337 Ohio OH John Kasich

>>> data = {'A': [1, 2]}
>>> json_normalize(data, 'A', record_prefix='Prefix.')
>>> pandas.json_normalize(data, 'A', record_prefix='Prefix.')
Prefix.0
0 1
1 2
Expand Down