code: def get_plot(self, structure, two_theta_range=(0, 90),
                   annotate_peaks=True, ax=None, with_labels=True,
                   fontsize=16):
          
          if ax is None:
              from pymatgen.util.plotting import pretty_plot
              plt = pretty_plot(16, 10)
              ax = plt.gca()
          else:
              # This to maintain the type of the return value.
              import matplotlib.pyplot as plt
  
          xrd = self.get_pattern(structure, two_theta_range=two_theta_range)
  
          for two_theta, i, hkls, d_hkl in zip(xrd.x, xrd.y, xrd.hkls, xrd.d_hkls):
              if two_theta_range[0] <= two_theta <= two_theta_range[1]:
                  print(hkls)
                  label = ", ".join([str(hkl["hkl"]) for hkl in hkls])
                  ax.plot([two_theta, two_theta], [0, i], color='k',
                           linewidth=3, label=label)
                  if annotate_peaks:
                      ax.annotate(label, xy=[two_theta, i],
                                  xytext=[two_theta, i], fontsize=fontsize)
  
          if with_labels:
              ax.set_xlabel(r"$2\theta$ ($^\circ$)")
              ax.set_ylabel("Intensities (scaled)")
  
          if hasattr(ax, "tight_layout"):
              ax.tight_layout()
  
          return plt
docs: Returns the diffraction plot as a matplotlib.pyplot.
  
          Args:
              structure: Input structure
              two_theta_range ([float of length 2]): Tuple for range of
                  two_thetas to calculate in degrees. Defaults to (0, 90). Set to
                  None if you want all diffracted beams within the limiting
                  sphere of radius 2 / wavelength.
              annotate_peaks: Whether to annotate the peaks with plane
                  information.
              ax: matplotlib :class:`Axes` or None if a new figure should be created.
              with_labels: True to add xlabels and ylabels to the plot.
              fontsize: (int) fontsize for peak labels.
  
          Returns:
              (matplotlib.pyplot)