code: def test_astype(self):
      pidx = pd.Index([10, 20, 15, 30, 45], name="x")
      psidx = ps.Index(pidx)
  
      self.assert_eq(psidx.astype(int), pidx.astype(int))
      self.assert_eq(psidx.astype(np.int8), pidx.astype(np.int8))
      self.assert_eq(psidx.astype(np.int16), pidx.astype(np.int16))
      self.assert_eq(psidx.astype(np.int32), pidx.astype(np.int32))
      self.assert_eq(psidx.astype(np.int64), pidx.astype(np.int64))
      self.assert_eq(psidx.astype(np.byte), pidx.astype(np.byte))
      self.assert_eq(psidx.astype("int"), pidx.astype("int"))
      self.assert_eq(psidx.astype("int8"), pidx.astype("int8"))
      self.assert_eq(psidx.astype("int16"), pidx.astype("int16"))
      self.assert_eq(psidx.astype("int32"), pidx.astype("int32"))
      self.assert_eq(psidx.astype("int64"), pidx.astype("int64"))
      self.assert_eq(psidx.astype("b"), pidx.astype("b"))
      self.assert_eq(psidx.astype("byte"), pidx.astype("byte"))
      self.assert_eq(psidx.astype("i"), pidx.astype("i"))
      self.assert_eq(psidx.astype("long"), pidx.astype("long"))
      self.assert_eq(psidx.astype("short"), pidx.astype("short"))
      self.assert_eq(psidx.astype(np.float32), pidx.astype(np.float32))
      self.assert_eq(psidx.astype(np.float64), pidx.astype(np.float64))
      self.assert_eq(psidx.astype("float"), pidx.astype("float"))
      self.assert_eq(psidx.astype("float32"), pidx.astype("float32"))
      self.assert_eq(psidx.astype("float64"), pidx.astype("float64"))
      self.assert_eq(psidx.astype("double"), pidx.astype("double"))
      self.assert_eq(psidx.astype("f"), pidx.astype("f"))
      self.assert_eq(psidx.astype(bool), pidx.astype(bool))
      self.assert_eq(psidx.astype("bool"), pidx.astype("bool"))
      self.assert_eq(psidx.astype("?"), pidx.astype("?"))
      self.assert_eq(
          psidx.astype(np.unicode_), pidx.astype(np.unicode_)
      )
      self.assert_eq(psidx.astype("str"), pidx.astype("str"))
      self.assert_eq(psidx.astype("U"), pidx.astype("U"))
  
      pidx = pd.Index([10, 20, 15, 30, 45, None], name="x")
      psidx = ps.Index(pidx)
      self.assert_eq(psidx.astype(bool), pidx.astype(bool))
      self.assert_eq(psidx.astype(str), pidx.astype(str))
  
      pidx = pd.Index(["hi", "hi ", " ", " \t", "", None], name="x")
      psidx = ps.Index(pidx)
  
      self.assert_eq(psidx.astype(bool), pidx.astype(bool))
      self.assert_eq(psidx.astype(str), pidx.astype(str))
  
      pidx = pd.Index([True, False, None], name="x")
      psidx = ps.Index(pidx)
  
      self.assert_eq(psidx.astype(bool), pidx.astype(bool))
  
      pidx = pd.Index(["2020-10-27"], name="x")
      psidx = ps.Index(pidx)
  
      self.assert_eq(
          psidx.astype("datetime64[ns]"), pidx.astype("datetime64[ns]")
      )
  
      with self.assertRaisesRegex(TypeError, "not understood"):
          psidx.astype("int63")
  
file_path: spark/python/pyspark/pandas/tests/indexes/test_astype.py
imports: import unittest
  import numpy
  import pandas
  import pyspark.pandas
  from pyspark.testing.pandasutils import ComparisonTestBase, TestUtils
label_desc: Use image node_id 1 for calling the IndexesAsTypeMixin obj's underlying member method code with example usage: obj.test_astype() without return types