code: def plot(self, **kwds):
          
          ax = plt.gca()
          self.coords.plot.scatter(x=0, y=1, ax=ax, **kwds)
          ax.get_xaxis().set_major_locator(MultipleLocator(base=1.0))
          ax.get_yaxis().set_major_locator(MultipleLocator(base=1.0))
          ax.set_xticklabels([])
          ax.set_yticklabels([])
          ax.set_xlabel('')
          ax.set_ylabel('')
          ax.set_aspect(1)
          return ax
docs: Plot the coordinates in the first two dimensions of the projection.
  
          Removes axis and tick labels, and sets the grid spacing to 1 unit.
          One way to display the grid is to use `Seaborn`_:
  
          Args:
              **kwds: Passed to :py:meth:`pandas.DataFrame.plot.scatter`.
  
          Examples:
  
              >>> from pymds import DistanceMatrix
              >>> import pandas as pd
              >>> import seaborn as sns
              >>> sns.set_style('whitegrid')
              >>> dist = pd.DataFrame({
              ...    'a': [0.0, 1.0, 2.0],
              ...    'b': [1.0, 0.0, 3 ** 0.5],
              ...    'c': [2.0, 3 ** 0.5, 0.0]} , index=['a', 'b', 'c'])
              >>> dm = DistanceMatrix(dist)
              >>> pro = dm.optimize()
              >>> ax = pro.plot(c='black', s=50, edgecolor='white')
  
          Returns:
              :py:obj:`matplotlib.axes.Axes`
  
          .. _Seaborn:
              https://seaborn.pydata.org/