本文介绍了Matplotlib:如何删除轮廓的clabel的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我们知道我们可以删除contour/contourf的集合.但是如何删除轮廓的clabel?
As we know that we can remove the collections of contour/contourf. But how can I remove the contour's clabel?
fig = plt.figure()
ax = fig.add_subplots(111)
for ivalue in range(10):
values = alldata [ivalue,:,:]
cs = plt.contour(x,y,vakues)
cb = plt.clabel(cs, cs.levels)
# now remove cs
for c in cs.collections:
c.remove()
# but how can I remove cb?
plt.savefig('%s.png'%ivalue)
第一个 png 的标签仍然存在于第二个 png 中.所以我想同时删除clabel.
The clabel of first png still exists in second png. So i want to remove clabel meanwhile.
推荐答案
您可以对 contour
行执行与已经执行的完全相同的操作.最小示例:
You can do the exact same as you are already doing for the contour
lines. Minimal example:
import numpy as np
import matplotlib.pylab as pl
pl.figure()
for i in range(2):
c = pl.contour(np.random.random(100).reshape(10,10))
cl = pl.clabel(c)
if i == 1:
pl.savefig('fig.png'.format(i))
产生双轮廓,标签:
通过将其更改为:
# Same code as above left out
if i == 1:
pl.savefig('fig.png'.format(i))
for contour in c.collections:
contour.remove()
for label in cl:
label.remove()
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