class_docstr: Unit tests for arithmetic operations of numeric data types.
  
  A few test cases are disabled because pandas-on-Spark returns float64 whereas pandas
  returns float32.
  The underlying reason is the respective Spark operations return DoubleType always.
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code: def float_pser(self):
      return pd.Series([1, 2, 3], dtype=float)
  
file_path: spark/python/pyspark/pandas/tests/data_type_ops/test_num_reverse.py
imports: import datetime
  import unittest
  import pandas
  from pyspark import pandas
  from pyspark.testing.pandasutils import PandasOnSparkTestCase
  from pyspark.pandas.tests.data_type_ops.testing_utils import OpsTestBase
label_desc: Use image node_id 1 for calling the ReverseTestsMixin obj's underlying member method code with example usage: obj.float_pser() and returns: pd