title: add frame and remove background colour and grids using seaborn.kdeplot
body: <p>I have written a class to plot some data points. I used <code>seaborn</code> to make <code>kernel density</code> plot and it caused that (1) the frame gets disappeared and I would like a rigid frame and (2) there are grids in the plot with (3)a background colour which I would like to get rid of them. How should it be done? In addition, how could I get star-shape and polygon-shape markers for the scatter plot ?</p>
  
  <pre><code>import seaborn
  import pandas
  import pylab as P
  import numpy as np
  class PlotLocus(object):
        def __init__(self, colorX, colorY, colorpX, colorpY ,excluded_points,lcolorx1,lcolorx2,lcolory1,lcolory2,correspondence_Matrix):
            self.exarr=excluded_points #scatter points excluded by kde
            self.colorx=colorX
            self.colory=colorY
            self.colorpx=colorpX
            self.colorpy=colorpY
            r=np.arange(self.colorx.shape[0])
            self.arr=np.setxor1d(r,self.exarr)
            self.lx1=lcolorx1 
            self.lx2=lcolorx2 
            self.ly1=lcolory1 
            self.ly2=lcolory2 
            correspondence_indicies = np.where(M &gt; 0.99)
            self.colorx_corr=self.colorx[correspondence_indicies[0]]
            self.colory_corr=self.colory[correspondence_indicies[0]]
            self.colorpx_corr=self.colorpx[correspondence_indicies[1]]
            self.colorpy_corr=self.colorpy[correspondence_indicies[1]]      
        def plot_before_colors(self):
            fig=P.figure(1, figsize=(8,8), dpi=100)
            ax = fig.add_subplot(111)
            X=np.vstack((self.colorx, self.colory)).T
            data = pandas.DataFrame(X, columns=["X", "Y"])
            seaborn.kdeplot(data.X,data.Y,bw='scott',shade=False, cmap="Purples") 
            ax.tick_params(axis='both', which='major', direction='in', length=6, width=2)
            ax.scatter(self.colorx[self.exarr], self.colory[self.exarr], s=30, c='g', marker='o', edgecolors='k',facecolors='none')
            ax.scatter(self.colorx, self.colory ,marker='.',s=15,color='b')
            ax.scatter(self.colorpx, self.colorpy, s=15, c='r', marker='d', edgecolor='r')
            for i in range(len(self.colorx_corr)):
                ax.annotate("",
                            xy=(self.colorpx_corr[i], self.colorpy_corr[i]), xycoords='data',
                            xytext=(self.colorx_corr[i], self.colory_corr[i]), textcoords='data',
                            arrowprops=dict(arrowstyle="-&gt;",
                            connectionstyle="arc3"), 
                            color='0.3'
                            )
            ax.set_xlabel("%s - %s"%(self.lx1,self.lx2), size='medium')
            ax.set_ylabel("%s - %s"%(self.ly1,self.ly2), size='medium')
            ax.set_aspect('auto')
  
  if __name__ == "__main__":
      colorx=np.array([0.4,0.5,-0.3,1.5,0.91,0.66,0.59,-0.11,-0.08,0.12])
      colory=np.array([0.22,-1.15,0.44,0.7,-0.65,-0.21,0.8,-1.1,1.01,0.8])
      colorpx=np.array([0.48,0.45,-0.38,0.5,0.98,0.62,0.77,-0.15,-0.12,0.8])
      colorpx=np.array([0.48,0.45,-0.38,0.5,0.98,0.62,0.77,-0.15,-0.12,0.8,1.8])
      colorpx=np.array([0.48,0.45,-0.38,0.5,0.98,0.62,0.77,-0.15,-0.12,0.8,1.8,2.4])
      colorpy=np.array([0.26,-0.98,-0.1,0.66,-0.7,-0.5,0.84,-0.88,-1.2,0.9,-2.1,1.3])
      lcolorx1='u'
      lcolorx2='i'
      lcolory1='i'
      lcolory2='g'
      M=np.zeros((10,12),float)
      M[1,4]=1
      M[3,5]=1
      M[9,7]=1
      M[0,2]=1
      M[4,10]=1
      p=PlotLocus(colorx,colory,colorpx,colorpy,np.array([2,6,8]),lcolorx1,lcolorx2,lcolory1,lcolory2,M)
      p.plot_before_colors()
      P.show()
  </code></pre>
  
  <p><img src="https://i.stack.imgur.com/Hh5eb.png" alt="enter image description here"></p>