有效地在循环中使用matplotlib的颤动 [英] using matplotlib's quiver in a loop efficiently

问题描述

我正在使用循环在底图上生成矢量场，如下所示:

I'm using a loop to generate vector fields on a basemap as such:

for i in range(365):
     barbs = m.quiver(x, y, u[i, :], v[i, :], scale = 100)
     plt.draw()
     barbs.remove()

程序在每次循环中都占用更多的内存.有没有办法解决这个问题?例如在每个循环结束时完全删除倒钩?

The program takes drastically more memory with every loop. Is there a way to get around this? Such as deleting barbs entirely at the end of each loop?

推荐答案

如果只需要重置 (u,v) 组件可以使用 barb.set_UVC(newU,newV,newC)在循环内.

If you only need to reset the (u,v) components you can use barb.set_UVC(newU,newV,newC) inside the loop.

barbs = m.quiver(x, y, u[0, :], v[0, :], scale = 100)
for i in range(365):
     barbs.set_UVC(u[i,:],v[i,:])
     #save the figure or something

另请参见 Python:复制底图或删除数据来自图，3D-numpy的可视化- 逐帧数组,

如果您要创建动画，请查看matplotlib的 模块，它会为您处理很多细节.

If you are trying to create an animation, look in to the animation module of matplotlib, it takes care of a lot of the details for you.

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