code: def pav(y, X, w):
      # make H2O Frame (y, X, w)
      frame = H2OFrame(np.column_stack((y, X, w)))
      return H2OFrame._expr(expr=ExprNode("isotonic.pav", frame))[
          ["C1", "C2"]
      ]
  
file_path: h2o-3/h2o-py/tests/testdir_algos/isotonic/pyunit_pava.py
imports: import sys
  from tests import pyunit_utils
  import numpy
  from pandas.testing import assert_frame_equal
  from sklearn.datasets import make_regression
  from sklearn.isotonic import IsotonicRegression
  from h2o import H2OFrame
  from h2o.expr import ExprNode
label_desc: Use image node_id 1 for calling a global function with example usage: pav(y, X, w) and returns: H2OFrame