Skip to content

Conversation

jreback
Copy link
Contributor

@jreback jreback commented Jun 10, 2015

xref #10317

In [17]: df = DataFrame({ 'A' : pd.Series([3,2,2],index=pd.Categorical([1,2,3],categories=[1,2,3])), 'B' : pd.Categorical(list('aab')) })

In [18]: df
Out[18]: 
   A  B
1  3  a
2  2  a
3  2  b

In [19]: df.index
Out[19]: CategoricalIndex([1, 2, 3], categories=[1, 2, 3], ordered=False, dtype='category')

In [20]: df.dtypes
Out[20]: 
A       int64
B    category
dtype: object

In [31]: def f(orient):
    print "orient->%s" % orient
    print df.to_json(orient=orient)
   ....:     

In [32]: f('columns')
orient->columns
{"A":{"1":3,"2":2,"3":2},"B":{"1":"a","2":"a","3":"b"}}

In [33]: f('index')
orient->index
{"1":{"A":3,"B":"a"},"2":{"A":2,"B":"a"},"3":{"A":2,"B":"b"}}

In [34]: f('split')
orient->split
{"columns":["A","B"],"index":[1,2,3],"data":[[3,"a"],[2,"a"],[2,"b"]]}

In [35]: f('records')
orient->records
[{"A":3,"B":"a"},{"A":2,"B":"a"},{"A":2,"B":"b"}]

In [36]: f('values')
orient->values
[[3,"a"],[2,"a"],[2,"b"]]

@jreback jreback added Bug IO JSON read_json, to_json, json_normalize labels Jun 10, 2015
@jreback jreback added this to the 0.16.2 milestone Jun 10, 2015
@jreback jreback changed the title BUG: Bug in to_json with certain orients and a CategoricalIndex would segfault, closes #10307 BUG: Bug in to_json with certain orients and a CategoricalIndex would segfault, closes #10317 Jun 10, 2015
@jreback
Copy link
Contributor Author

jreback commented Jun 10, 2015

closing in favor of #10322

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

Bug IO JSON read_json, to_json, json_normalize

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant