code: def plot_likelihood(A, title=""):
      """
      Utility function that shows a heatmap of a 2-D likelihood (hidden causes in the columns, observations in the rows),
      with hotter colors indicating higher probability.
      """
  
      ax = sns.heatmap(A, cmap="OrRd", linewidth=2.5)
      plt.xticks(range(A.shape[1] + 1))
      plt.yticks(range(A.shape[0] + 1))
      plt.title(title)
      plt.show()
  
imports: import numpy
  import pandas
  import seaborn
  import matplotlib.pyplot
  import warnings
  import itertools
label_desc: Use image node_id 37 for calling a global function with example usage: plot_likelihood(A, title) without return types