code: def _adjust_shape(dat, k_vars):
      """Returns an array of shape (nobs, k_vars) for use with `gpke`."""
      dat = np.asarray(dat)
      if dat.ndim > 2:
          dat = np.squeeze(dat)
      if dat.ndim == 1 and k_vars > 1:  # one obs many vars
          nobs = 1
      elif dat.ndim == 1 and k_vars == 1:  # one obs one var
          nobs = len(dat)
      else:
          if np.shape(dat)[0] == k_vars and np.shape(dat)[1] != k_vars:
              dat = dat.T
  
          nobs = np.shape(dat)[0]  # ndim >1 so many obs many vars
  
      dat = np.reshape(dat, (nobs, k_vars))
      return dat
  
imports: import copy
  import numpy
  from scipy import optimize
  from scipy.stats.mstats import mquantiles
  from .None import kernels
label_desc: Use image node_id 4 for calling a global function with example usage: _adjust_shape(dat, k_vars) and returns: dat