GitHub user dongjoon-hyun opened a pull request:
https://github.com/apache/spark/pull/13097
[SPARK-15244][PYSPARK] Type of column name created with createDataFrame is
not consistent.
## What changes were proposed in this pull request?
**createDataFrame** returns inconsistent types for column names.
```python
>>> schema = StructType([StructField(u"col", StringType())])
>>> df1 = sqlContext.createDataFrame([("a",)], schema)
>>> df1.columns # "col" is str
['col']
>>> df2 = sqlContext.createDataFrame([("a",)], [u"col"])
>>> df2.columns # "col" is unicode
[u'col']
```
The reason is only **StructField** has the following code.
```
if not isinstance(name, str):
name = name.encode('utf-8')
```
This PR adds the similar logic into **createDataFrame** for consistency.
```
if isinstance(schema, list):
schema = [x.encode('utf-8') if isinstance(x, unicode) else x for x in
schema]
```
## How was this patch tested?
Pass the Jenkins test (with new python doctest)
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dongjoon-hyun/spark SPARK-15244
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13097.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #13097
----
commit c47b12b010ae0a107d54e03f166cfd9b79ae92a5
Author: Dongjoon Hyun <dongj...@apache.org>
Date: 2016-05-13T09:09:30Z
[SPARK-15244][PYSPARK] Type of column name created with createDataFrame is
not consistent.
----
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