问题描述
在matplotlib中创建图形的标准方法似乎不符合我在python中的预期:默认情况下，在循环中调用fig = matplotlib.figure()将保留所有创建的图形，最终用尽记忆.
It seems that the standard way of creating a figure in matplotlib doesn't behave as I'd expect in python: by default calling fig = matplotlib.figure() in a loop will hold on to all the figures created, and eventually run out of memory.
有相当 很少文章，这些文章处理变通办法，但要求显式调用matplotlib.pyplot.close(fig)似乎有点hacker.我想要的是一种简单的方法来计算fig引用，因此我不必担心内存泄漏.有什么办法可以做到这一点?
There are quite a few posts which deal with workarounds, but requiring explicit calls to matplotlib.pyplot.close(fig) seems a bit hackish. What I'd like is a simple way to make fig reference counted, so I won't have to worry about memory leaks. Is there some way to do this?
推荐答案
如果在不使用plt.figure的情况下创建图形，则应按您的期望对它进行引用计数.例如(这也使用了非交互式的Agg后端.)
If you create the figure without using plt.figure, then it should be reference counted as you expect. For example (This is using the non-interactive Agg backend, as well.)
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
# The pylab figure manager will be bypassed in this instance.
# This means that `fig` will be garbage collected as you'd expect.
fig = Figure()
canvas = FigureCanvas(fig)
ax = fig.add_subplot(111)
这篇关于创建一个参考引用的图形的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！