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DOC: add example on json_normalize (pandas-dev#16438)
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zzgao authored and jowens committed Sep 20, 2017
1 parent de60666 commit 0bbda54
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7 changes: 7 additions & 0 deletions doc/source/io.rst
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Expand Up @@ -2020,6 +2020,13 @@ into a flat table.
.. ipython:: python
from pandas.io.json import json_normalize
data = [{'id': 1, 'name': {'first': 'Coleen', 'last': 'Volk'}},
{'name': {'given': 'Mose', 'family': 'Regner'}},
{'id': 2, 'name': 'Faye Raker'}]
json_normalize(data)
.. ipython:: python
data = [{'state': 'Florida',
'shortname': 'FL',
'info': {
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11 changes: 10 additions & 1 deletion pandas/io/json/normalize.py
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Expand Up @@ -135,6 +135,16 @@ def json_normalize(data, record_path=None, meta=None,
Examples
--------
>>> from pandas.io.json import json_normalize
>>> data = [{'id': 1, 'name': {'first': 'Coleen', 'last': 'Volk'}},
... {'name': {'given': 'Mose', 'family': 'Regner'}},
... {'id': 2, 'name': 'Faye Raker'}]
>>> json_normalize(data)
id name name.family name.first name.given name.last
0 1.0 NaN NaN Coleen NaN Volk
1 NaN NaN Regner NaN Mose NaN
2 2.0 Faye Raker NaN NaN NaN NaN
>>> data = [{'state': 'Florida',
... 'shortname': 'FL',
... 'info': {
Expand All @@ -150,7 +160,6 @@ def json_normalize(data, record_path=None, meta=None,
... },
... 'counties': [{'name': 'Summit', 'population': 1234},
... {'name': 'Cuyahoga', 'population': 1337}]}]
>>> from pandas.io.json import json_normalize
>>> result = json_normalize(data, 'counties', ['state', 'shortname',
... ['info', 'governor']])
>>> result
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