[GitHub] spark pull request: [SPARK-15050][SQL] Put CSV and JSON options as...

[HyukjinKwon <gi...@git.apache.org>]

Github user HyukjinKwon commented on a diff in the pull request:

    https://github.com/apache/spark/pull/12834#discussion_r61708031
  
    --- Diff: python/pyspark/sql/readwriter.py ---
    @@ -274,48 +274,44 @@ def text(self, paths):
             return self._df(self._jreader.text(self._sqlContext._sc._jvm.PythonUtils.toSeq(paths)))
     
         @since(2.0)
    -    def csv(self, paths):
    +    def csv(self, paths, schema=None, sep=None, encoding=None, quote=None, escape=None,
    +            comment=None, header=None, ignoreLeadingWhiteSpace=None, ignoreTrailingWhiteSpace=None,
    +            nullValue=None, nanValue=None, positiveInf=None, negativeInf=None, dateFormat=None,
    +            maxColumns=None, maxCharsPerColumn=None, mode=None):
             """Loads a CSV file and returns the result as a [[DataFrame]].
     
             This function goes through the input once to determine the input schema. To avoid going
             through the entire data once, specify the schema explicitly using [[schema]].
     
             :param paths: string, or list of strings, for input path(s).
    +        :param schema: an optional :class:`StructType` for the input schema.
    +        :param sep: sets the single character as a separator for each field and value.
    --- End diff --
    
    Thanks. I just added.


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