code: def test_schema(self):
      data = [Row(x=float(x)) for x in range(100)]
      df = self.sql.createDataFrame(data)
      tfs.print_schema(df)
  
imports: from __future__ import print_function
  from pyspark import SparkContext
  from pyspark.sql import DataFrame, SQLContext
  from pyspark.sql import Row
  from pyspark.sql.functions import col
  import tensorflow
  import pandas
  import tensorframes
  from tensorframes.core import _java_api
label_desc: Use image node_id 5 for calling the TestCore obj's underlying member method code with example usage: obj.test_schema() without return types