code: def test_map_rows_1(self):
      data = [Row(x=float(x)) for x in range(5)]
      df = self.sql.createDataFrame(data)
      with tf.Graph().as_default():
          # The placeholder that corresponds to column 'x'
          x = tf.placeholder(tf.double, shape=[], name="x")
          # The output that adds 3 to x
          z = tf.add(x, 3, name="z")
          # The resulting dataframe
          df2 = tfs.map_rows(z, df)
      data2 = df2.collect()
      assert data2[0].z == 3.0, data2
  
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 11 for calling the TestCore obj's underlying member method code with example usage: obj.test_map_rows_1() without return types