matplotlib imshow如何绘制点而不是图像？

Question

下面是代码：

plots=imshow(Z,extent=extent,origin,cmap=cmap,aspect='auto',vmin=vmin,vmax=vmax) 
plots.plot(Response,component,vrange) 

它绘制基于数据表z中的一个形象，我怎样才能让它的打印数据点来代替原来的形象？

看起来像需要改变散点图（x，y，...）来绘制数据点，将数组Z改变为x，y有多困难？

Answer 1

import pylab 
pylab.figure(1) 
pylab.plot([1,2,3,4],[1,7,3,5]) # draw on figure one 
pylab.show() # show figure on screen 

Answer 2

你没有提供太多的信息继续，但它听起来像你真的想创建一个散点图。

有很多选择，这里取决于你希望看到什么你正在策划什么，但我发现了以下帮助：

Fixing color in scatter plots in matplotlib

Answer 3

正如@ jdj081说，你要成为散情节。

import os.path 

import matplotlib 
import matplotlib.pyplot as plt 
import numpy as np 

# get an image from the sample data directory 
fname = os.path.join(matplotlib.get_data_path(), 'sample_data', 'lena.png') 
im = plt.imread(fname) 

# Reduce the data by a factor of 4 (so that we can see the points) 
im = im[::4, ::4] 

# generate coordinates for the image. Note that the image is "top down", so the y coordinate goes from high to low. 
ys, xs = np.mgrid[im.shape[0]:0:-1, 0:im.shape[1]] 

# Scatter plots take 1d arrays of xs and ys, and the colour takes a 2d array, 
# with the second dimension being RGB 
plt.scatter(xs.flatten(), ys.flatten(), s=4, 
      c=im.flatten().reshape(-1, 3), edgecolor='face') 
plt.show()