code: def dmatrix_pandas(
      formula_like, data={}, depth=0, return_type="matrix"
  ):
      return_type = "dataframe"
      if isinstance(depth, int):
          depth += 1
      return dmatrix(formula_like, data, depth, return_type=return_type)
  
imports: import sys
  import __future__
  import six
  import numpy
  import pytest
  from patsy import PatsyError
  from patsy.design_info import DesignMatrix, DesignInfo
  from patsy.eval import EvalEnvironment
  from patsy.desc import ModelDesc, Term, INTERCEPT
  from patsy.categorical import C
  from patsy.contrasts import Helmert
  from patsy.user_util import balanced, LookupFactor
  from patsy.build import design_matrix_builders, build_design_matrices
  from patsy.highlevel import *
  from patsy.util import have_pandas, have_pandas_categorical, have_pandas_categorical_dtype, pandas_Categorical_from_codes
  from patsy.origin import Origin
label_desc: Use image node_id 2 for calling a global function with example usage: dmatrix_pandas(formula_like, data, depth, return_type) and returns: dmatrix