code: def asnumeric():
      h2oframe = h2o.import_file(
          path=pyunit_utils.locate("smalldata/junit/cars.csv")
      )
      rows = h2oframe.nrow
  
      # H2OFrame case
      h2oframe = h2oframe.asnumeric()
      h2oframe["cylinders"] = (
          h2oframe["cylinders"] - h2oframe["cylinders"]
      )
      h2oframe = h2oframe[h2oframe["cylinders"] == 0]
      assert (
          h2oframe.nrow == rows
      ), "expected the same number of rows as before {0}, but got {1}".format(
          rows, h2oframe.nrow
      )
  
      h2oframe = h2o.import_file(
          path=pyunit_utils.locate("smalldata/junit/cars.csv")
      )
  
      # H2OVec case
      h2oframe["cylinders"] = h2oframe["cylinders"].asnumeric()
      h2oframe["cylinders"] = (
          h2oframe["cylinders"] - h2oframe["cylinders"]
      )
      h2oframe = h2oframe[h2oframe["cylinders"] == 0]
      assert (
          h2oframe.nrow == rows
      ), "expected the same number of rows as before {0}, but got {1}".format(
          rows, h2oframe.nrow
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: asnumeric() without return types