code: def cov2corr(cov):
      std_ = np.sqrt(np.diag(cov))
      corr = cov / np.outer(std_, std_)
      return corr
  
imports: import pickle
  import numpy
  import matplotlib.pyplot
  import matplotlib
  import statsmodels.sandbox.tools
  from statsmodels.graphics.correlation import plot_corr, plot_corr_grid
label_desc: Use image node_id 1 for calling a global function with example usage: cov2corr(cov) and returns: corr