code: def colRegex(self, colName):
          
          if not isinstance(colName, basestring):
              raise ValueError("colName should be provided as string")
          jc = self._jdf.colRegex(colName)
          return Column(jc)
docs: Selects column based on the column name specified as a regex and returns it
          as :class:`Column`.
  
          :param colName: string, column name specified as a regex.
  
          >>> df = spark.createDataFrame([("a", 1), ("b", 2), ("c",  3)], ["Col1", "Col2"])
          >>> df.select(df.colRegex("`(Col1)?+.+`")).show()
          +----+
          |Col2|
          +----+
          |   1|
          |   2|
          |   3|
          +----+