code: def plot_full_acorr(
      acorr, fontsize=8, linewidth=8, xlabel=None, err_bound=None
  ):
      """
  
      Parameters
      ----------
      """
      import matplotlib.pyplot as plt
  
      config = MPLConfigurator()
      config.set_fontsize(fontsize)
  
      k = acorr.shape[1]
      fig, axes = plt.subplots(k, k, figsize=(10, 10), squeeze=False)
  
      for i in range(k):
          for j in range(k):
              ax = axes[i][j]
              acorr_plot(
                  acorr[:, i, j],
                  linewidth=linewidth,
                  xlabel=xlabel,
                  ax=ax,
              )
  
              if err_bound is not None:
                  ax.axhline(err_bound, color="k", linestyle="--")
                  ax.axhline(-err_bound, color="k", linestyle="--")
  
      adjust_subplots()
      config.revert()
  
      return fig
  
file_path: statsmodels/statsmodels/tsa/vector_ar/plotting.py
imports: from statsmodels.compat.python import lrange
  import numpy
  import statsmodels.tsa.vector_ar.util
label_desc: Use image node_id 4 for calling a global function with example usage: plot_full_acorr(acorr, fontsize, linewidth, xlabel, err_bound) and returns: fig