code: def _plot_table(matrix, text_format='{:.2f}', cmap=None, **kwargs):
      
      shape = matrix.shape
  
      xtick_pos = numpy.arange(shape[1])
      ytick_pos = numpy.arange(shape[0])
  
      xtick_grid, ytick_grid = numpy.meshgrid(xtick_pos, ytick_pos)
  
      vmax = numpy.nanmax(matrix)
      vmin = numpy.nanmin(matrix)
  
      if not kwargs.get('color', None) and cmap is not None:
          use_cmap = True
          norm = matplotlib.colors.Normalize(vmin=vmin, vmax=vmax, clip=False)
      else:
          use_cmap = False
  
      for (row, col), w in numpy.ndenumerate(matrix):
          x = xtick_grid[row, col]
          y = ytick_grid[row, col]
  
          if use_cmap:
              kwargs['color'] = cmap(norm(w))
  
          plt.text(x, y, text_format.format(w), horizontalalignment='center',
                   verticalalignment='center', transform=plt.gca().transData, **kwargs)
docs: Plot a numpy matrix as a table. Uses the current axis bounding box to decide on limits.
      text_format specifies the formatting to apply to the values.
  
      Parameters
      ----------
  
      matrix : ndarray
  
      text_format : str
          Indicates how to format the the values
          text_format = {:.2} -> keeps all digits until the first 2 significant digits past the decimal
          text_format = {:.2f} -> keeps only 2 digits past the decimal
  
      cmap : None | colormap
          if a colormap is provided, this colormap will be used to choose the color of the text.
  
      **kwargs : all other arguments passed to plt.text function
  
      Examples
      ----------
  
      plot_table(numpy.random.random((3,3))
      plt.show()