code: def create_sample_dataframe(self):
      schema = t.StructType(
          [
              t.StructField("tenant", t.StringType(), nullable=True),
              t.StructField("name", t.StringType(), nullable=True),
              t.StructField("score", t.FloatType(), nullable=True),
          ],
      )
  
      return sc.createDataFrame(
          [
              ("t1", "5", 500.0),
              ("t1", "6", 600.0),
              ("t2", "7", 700.0),
              ("t2", "8", 800.0),
              ("t3", "9", 900.0),
          ],
          schema,
      )
  
file_path: SynapseML/core/src/test/python/synapsemltest/cyber/feature/test_scalers.py
imports: import unittest
  from typing import Type
  from pyspark.sql import functions, types
  from synapse.ml.cyber.feature import LinearScalarScaler, StandardScalarScaler
  from synapsemltest.cyber.explain_tester import ExplainTester
  from synapsemltest.spark import *
label_desc: Use image node_id 1 for calling the TestScalers obj's underlying member method code with example usage: obj.create_sample_dataframe() and returns: sc