application_vnd.jupyter.stderr_output_2.png text_plain_output_3.png text_plain_output_1.png image_output_1.png
!pip install trimap 
import trimap
reducer = trimap.TRIMAP()
r = reducer.fit_transform(X)
for (i,j) in [(0,1)]:#,(0,2),(1,2),(2,3),(2,4),(3,4)]:
    fig = plt.figure(figsize = (20,12) ); c = 0
    ax = sns.scatterplot(x = r[:,i],y=r[:,j], hue = v4color,  palette = palette1, marker =  marker1 , alpha = alpha1 )
    if 1:
        plt.setp(ax.get_legend().get_texts(), fontsize=20) # for legend text
        plt.setp(ax.get_legend().get_title(), fontsize=20) # for legend title        
    plt.title(' trimap ' + str_data_inf  + ' n_samples='+str(len(r)), fontsize = 20)
    plt.show()