python matplotlib 绘制许多具有相同参数的子图

Question

我的剧情是这样的

fig = plt.figure(figsize=(7,3))                                               
ax1 = fig.add_subplot(1,3,1)                                                  
ax2 = fig.add_subplot(1,3,2)                                                  
ax3 = fig.add_subplot(1,3,3)
ax1.scatter(x11, y11, s=50, alpha=0.5, c='orange', marker='o')  
ax1.scatter(x12, y12, s=50, alpha=0.5, c='blue', marker='s') 
ax2.scatter(x21, y21, s=50, alpha=0.5, c='orange', marker='o')  
ax2.scatter(x22, y22, s=50, alpha=0.5, c='blue', marker='s')
ax3.scatter(x31, y31, s=50, alpha=0.5, c='orange', marker='o')  
ax3.scatter(x32, y32, s=50, alpha=0.5, c='blue', marker='s')

一遍又一遍地设置 s=50, alpha=0.5 似乎有点多余。有没有办法一劳永逸地设置它们？还有颜色和标记，有没有办法把它们写在一个地方，这样更容易修改？

Answer 1

你可以这样做:

fig = plt.figure(figsize=(7,3))                                               
ax1 = fig.add_subplot(1,3,1)                                                  
ax2 = fig.add_subplot(1,3,2)                                                  
ax3 = fig.add_subplot(1,3,3)

xs = [x11, x12, x21, x22, x31, x32]
ys = [y11, y12, y21, y22, y31, y32]
cs = ['orange', 'blue']
ms = 'os'

for j in xrange(len(xs)):
    ax1.scatter(xs[j], ys[j], s=50, alpha=0.5, c=cs[j % 2], marker=ms[j % 2])