matplotlib cla() 问题

发布于 2024-12-05 12:46:21 字数 528 浏览 0 评论 0原文

我正在尝试使用 matplotlib 制作一些动画。

fig = plt.figure()
ax = fig.gca(projection='3d')
...


for k in xrange(10):
...
    ax.cla()
    ax.plot_surface(X, Y, field.real, rstride=2, cstride=2, cmap=cm.hot,
        linewidth=0, antialiased=False)
    ax.set_zlim3d(-50, 150)
    filename = "out_%d.png" % k
    fig.savefig(filename)
...

起初我没有使用 cla()，所以在每次迭代中我都得到相同的图片（http://dl.dropbox.com/u/4988243/out_0.png）。当我添加 ax.cla() 时，动画没问题，但我得到了一些不需要的轴，我不知道如何摆脱它们（http://dl.dropbox.com/u/4988243/out_1.png）。

原文

i am trying to make some animation using matplotlib.

fig = plt.figure()
ax = fig.gca(projection='3d')
...


for k in xrange(10):
...
    ax.cla()
    ax.plot_surface(X, Y, field.real, rstride=2, cstride=2, cmap=cm.hot,
        linewidth=0, antialiased=False)
    ax.set_zlim3d(-50, 150)
    filename = "out_%d.png" % k
    fig.savefig(filename)
...

at first i didn't use cla(), so on every iteration i got the same picture (http://dl.dropbox.com/u/4988243/out_0.png). when i added ax.cla() it was ok with animation but i got some unwanted axes which i don't know how to get rid of (http://dl.dropbox.com/u/4988243/out_1.png).

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总以为 2024-12-12 12:46:21

我在 ubuntu 11.04 上运行来自 github 的最新版本的 Matplotlib。我编写了一个代码片段，每次都会创建一个新的轴实例，这似乎会生成您想要的轴完整的图。您看到的问题可能只是一个错误，但我认为这可以解决它。我绘制了随机数图，仅用于演示目的。

import numpy
from matplotlib import pyplot

X = numpy.arange(250)
Y = numpy.arange(250)
X, Y = numpy.meshgrid(X, Y)

fig = pyplot.figure()

for ind in range(10):
    Z = numpy.random.random( (250,250) )

    ax = fig.add_subplot(111,projection='3d')
    ax.plot_surface(X, Y, Z, cmap='hot', linewidth=0, cstride = 2, rstride = 2, antialiased=False)
    ax.set_zlim3d(0, 1)
    pyplot.savefig('example' + str(ind) + '.png' )

I'm running the latest version of Matplotlib from github on ubuntu 11.04. I wrote a code snippet where I create a new axis instance each time, and this seems to produce the plots that you want with axis intact. The problem you're seeing might just be a bug, but I think this works around it. I made plots of random numbers, just for demonstration purposes.

import numpy
from matplotlib import pyplot

X = numpy.arange(250)
Y = numpy.arange(250)
X, Y = numpy.meshgrid(X, Y)

fig = pyplot.figure()

for ind in range(10):
    Z = numpy.random.random( (250,250) )

    ax = fig.add_subplot(111,projection='3d')
    ax.plot_surface(X, Y, Z, cmap='hot', linewidth=0, cstride = 2, rstride = 2, antialiased=False)
    ax.set_zlim3d(0, 1)
    pyplot.savefig('example' + str(ind) + '.png' )

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