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Add examples for Nested JSON reader #11814

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merged 3 commits into from
Sep 29, 2022
Merged

Add examples for Nested JSON reader #11814

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19d3d76
add JSON examples
GregoryKimball Sep 29, 2022
d219381
Update python/cudf/cudf/utils/ioutils.py
galipremsagar Sep 29, 2022
3b6023c
Update python/cudf/cudf/utils/ioutils.py
galipremsagar Sep 29, 2022
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23 changes: 23 additions & 0 deletions python/cudf/cudf/utils/ioutils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -596,6 +596,29 @@
a b
0 "hello" "hello"
1 "rapids" "worlds"

Reading a JSON string containing ordered lists and name/value pairs:

>>> json_str = '[{"list": [0,1,2], "struct": {"k":"v1"}}, {"list": [3,4,5], "struct": {"k":"v2"}}]'
>>> cudf.read_json(json_str, engine='cudf_experimental')
list struct
0 [0, 1, 2] {'k': 'v1'}
1 [3, 4, 5] {'k': 'v2'}

Reading JSON Lines data containing ordered lists and name/value pairs:

>>> json_str = '{"a": [{"k1": "v1"}]}\n{"a": [{"k1":"v2"}]}'
>>> cudf.read_json(json_str, engine='cudf_experimental', lines=True)
a
0 [{'k1': 'v1'}]
1 [{'k1': 'v2'}]

Using the `dtype` argument to specify type casting:

>>> json_str = '{"k1": 1, "k2":[1.5]}'
>>> cudf.read_json(json_str, engine='cudf_experimental', lines=True, dtype={'k1':float, 'k2':cudf.ListDtype(int)})
k1 k2
0 1.0 [1]
"""
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doc_read_json = docfmt_partial(docstring=_docstring_read_json)

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