plot picture scatter

420show.py

# -*- coding: cp936-*-
__author__ = 'shuaiyi'

import logging
import numpy as np
import calc_tsne as tsne
import matplotlib.pyplot as plt
from features import dataset as ds

logging.getLogger().setLevel(logging.INFO)

logging.info('Loading t_SNE results.')
Xmat,LM,costs=tsne.readResult()
X=tsne.reOrder(Xmat,LM)
logging.info('Loading labels.')    
labels = np.loadtxt('420_Y.txt', delimiter=',')

logging.info('Loading samples (image path).')
data_path = "E:/Classification_service/Labelsamples/labels.txt"
samples = ds(data_path)

from skimage import io
from matplotlib.offsetbox import OffsetImage, AnnotationBbox 

ax = plt.subplot(111)
logging.info('Generating picture scatter')
for i in range(len(samples.X)):
    img_path = ds.getImg_path(data_path, samples.X[i][0])
    logging.info('Processing %s'%img_path)
    xy = (X[i,0],X[i,1])
    arr_sam = io.imread(img_path) 

    imagebox = OffsetImage(arr_sam, zoom=0.1) 
    ab = AnnotationBbox(imagebox, xy, 
                        xycoords='data', 
                        pad=0, 
                        )
    ax.add_artist(ab) 

#plt.scatter(X[:,0], X[:,1], 20, labels)
ax.grid(True)
ax.set_xlim(-60, 60)
ax.set_ylim(-60, 60)
plt.draw()
plt.show()

imgscatter.py

import matplotlib.pyplot as plt 
from matplotlib.offsetbox import OffsetImage, AnnotationBbox 
from matplotlib.cbook import get_sample_data 

import numpy as np 

if 1: 
    fig = plt.gcf() 
    fig.clf() 
    ax = plt.subplot(111) 


    xy = [0.3, 0.55] 

    arr = np.arange(100).reshape((10,10)) 
    im = OffsetImage(arr, zoom=2) 

    ab = AnnotationBbox(im, xy, 
                        xycoords='data', 
                        pad=0.3, 
                        ) 

    ax.add_artist(ab) 


    # another image 


    from matplotlib._png import read_png 
    fn = get_sample_data("lena.png", asfileobj=False) 
    arr_lena = read_png(fn) 

    imagebox = OffsetImage(arr_lena, zoom=0.2) 

    xy = (0.7, 0.4) 
    ab = AnnotationBbox(imagebox, xy, 
                        xycoords='data', 
                        pad=0.5, 
                        ) 


    ax.add_artist(ab) 

    ax.set_xlim(0, 1) 
    ax.set_ylim(0, 1) 


    plt.draw() 
    plt.show()