code: def test_update(self):
      pser = pd.Series([10, 20, 15, 30, 45], name="x")
      psser = ps.Series(pser)
  
      msg = "'other' must be a Series"
      with self.assertRaisesRegex(TypeError, msg):
          psser.update(10)
  
      def _get_data():
          pdf = pd.DataFrame(
              {
                  "a": [None, 2, 3, 4, 5, 6, 7, 8, None],
                  "b": [None, 5, None, 3, 2, 1, None, 0, 0],
                  "c": [1, 5, 1, 3, 2, 1, 1, 0, 0],
              },
          )
          psdf = ps.from_pandas(pdf)
          return pdf, psdf
  
      pdf, psdf = _get_data()
  
      psdf.a.update(psdf.a)
      pdf.a.update(pdf.a)
      self.assert_eq(psdf, pdf)
  
      pdf, psdf = _get_data()
  
      psdf.a.update(psdf.b)
      pdf.a.update(pdf.b)
      self.assert_eq(psdf, pdf)
  
      pdf, psdf = _get_data()
      pser = pdf.a
      psser = psdf.a
  
      pser.update(pdf.b)
      psser.update(psdf.b)
      self.assert_eq(psser, pser)
      self.assert_eq(psdf, pdf)
  
imports: import unittest
  from collections import defaultdict
  import inspect
  from datetime import datetime, timedelta
  import numpy
  import pandas
  from pyspark.ml.linalg import SparseVector
  from pyspark import pandas
  from pyspark.testing.pandasutils import PandasOnSparkTestCase, SPARK_CONF_ARROW_ENABLED
  from pyspark.testing.sqlutils import SQLTestUtils
  from pyspark.pandas.exceptions import PandasNotImplementedError
  from pyspark.pandas.missing.series import MissingPandasLikeSeries
  from pyspark.pandas.typedef.typehints import extension_object_dtypes_available
label_desc: Use image node_id 26 for calling the SeriesTestsMixin obj's underlying member method code with example usage: obj.test_update() and returns: pdf,  psdf