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1 change: 0 additions & 1 deletion ci/code_checks.sh
Original file line number Diff line number Diff line change
Expand Up @@ -76,7 +76,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.errors.SettingWithCopyWarning \
pandas.errors.SpecificationError \
pandas.errors.UndefinedVariableError \
pandas.read_json \
pandas.io.formats.style.Styler.to_latex \
pandas.read_parquet \
pandas.DataFrame.to_sql \
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6 changes: 3 additions & 3 deletions pandas/io/json/_json.py
Original file line number Diff line number Diff line change
Expand Up @@ -717,7 +717,7 @@ def read_json(
"data":[["a","b"],["c","d"]]\
}}\
'
>>> pd.read_json(StringIO(_), orient='split')
>>> pd.read_json(StringIO(_), orient='split') # doctest: +SKIP
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Since we are already creating the dataframe and calling to_json I think it'd be better to save the dataframe to a StringIO object, display it so users can continue to see how the json looks like, and then make this work by reading the StringIO object. What do you think?

col 1 col 2
row 1 a b
row 2 c d
Expand All @@ -727,7 +727,7 @@ def read_json(
>>> df.to_json(orient='index')
'{{"row 1":{{"col 1":"a","col 2":"b"}},"row 2":{{"col 1":"c","col 2":"d"}}}}'

>>> pd.read_json(StringIO(_), orient='index')
>>> pd.read_json(StringIO(_), orient='index') # doctest: +SKIP
col 1 col 2
row 1 a b
row 2 c d
Expand All @@ -737,7 +737,7 @@ def read_json(

>>> df.to_json(orient='records')
'[{{"col 1":"a","col 2":"b"}},{{"col 1":"c","col 2":"d"}}]'
>>> pd.read_json(StringIO(_), orient='records')
>>> pd.read_json(StringIO(_), orient='records') # doctest: +SKIP
col 1 col 2
0 a b
1 c d
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