code: def make_data_banded(n_samples, n_features):
      alpha = 0.1
      cov, prec, adj = LatticeGraph(
          n_blocks=2, random_sign=True, chain_blocks=True, seed=1
      ).create(n_features, alpha)
      prng = np.random.RandomState(2)
      X = prng.multivariate_normal(
          np.zeros(n_features), cov, size=n_samples
      )
      return X, cov, prec
  
file_path: skggm/examples/trace_plot_example.py
imports: import sys
  import numpy
  from sklearn.datasets import make_sparse_spd_matrix
  from inverse_covariance import QuicGraphicalLasso
  from inverse_covariance.plot_util import trace_plot
  from inverse_covariance.profiling import LatticeGraph
label_desc: Use image node_id 2 for calling a global function with example usage: make_data_banded(n_samples, n_features) and returns: X,  cov,  prec