pxc*_*pxc 12 plot matplotlib python-2.7 python-3.x
我正在策划三组约20个时间序列.每个时间序列有180万点,我正在分别绘制它们.为了减少执行时间(因为我发现figure()函数非常耗时),我只打开一个数字,绘图然后清理下一个时间序列.就像是:
import matplotlib.pyplot as plt
fig = plt.figure() # open a figure for plotting
for v in range(nfigs):
# here I build the x and y vectors from the raw data
# and also the figname string
plt.plot(x, y, linewidth=0.3)
plt.title('a title')
plt.xlabel('x-label')
plt.ylabel('y-label')
plt.grid()
plt.draw()
plt.savefig(figname)
plt.clf()
plt.close() # close the figure after the job is done
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除了特别是所有数据集中的所有数据集之外,所有绘图都保存正常,这给出了以下错误(编辑文件路径以保护隐私):
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 540, in runfile
execfile(filename, namespace)
File "batch.py", line 142, in <module>
main(fn)
File "batch.py", line 94, in main
plt.savefig(figname+'_'+nn+'.png')
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\pyplot.py", line 561, in savefig
return fig.savefig(*args, **kwargs)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\figure.py", line 1421, in savefig
self.canvas.print_figure(*args, **kwargs)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\backends\backend_qt4agg.py", line 167, in print_figure
FigureCanvasAgg.print_figure(self, *args, **kwargs)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\backend_bases.py", line 2220, in print_figure
**kwargs)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\backends\backend_agg.py", line 505, in print_png
FigureCanvasAgg.draw(self)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\backends\backend_agg.py", line 451, in draw
self.figure.draw(self.renderer)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\figure.py", line 1034, in draw
func(*args)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\axes.py", line 2086, in draw
a.draw(renderer)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\lines.py", line 562, in draw
drawFunc(renderer, gc, tpath, affine.frozen())
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\lines.py", line 938, in _draw_lines
self._lineFunc(renderer, gc, path, trans)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\lines.py", line 978, in _draw_solid
renderer.draw_path(gc, path, trans)
File "~\AppData\Local\Continuum\Anaconda\lib\site-packages\matplotlib\backends\backend_agg.py", line 145, in draw_path
self._renderer.draw_path(gc, path, transform, rgbFace)
OverflowError: Allocated too many blocks
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触发此错误的时间序列绝对没什么特别之处,我用简单的show()而不是savefig()检查了它.它既不是第一个也不是最后一个(大约60个时间序列)但它足以打破我的剧本.对此的帮助非常感谢!
Mic*_*ael 10
您可以尝试agg.path.chunksize在matplotlibrc文件中或运行时更改(10000-100000)的值matplotlib.rcParams.它使渲染器一次性绘制块中的路径而不是整个路径; 但根据文档,它可能会导致文物.有关更多信息,请参阅http://matplotlib.org/1.3.1/users/customizing.html上的示例matplotlibrc文件.
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