【发布时间】:2016-03-29 04:12:15
【问题描述】:
在发布这个问题之前,我检查了所有可能的重复问题并尝试了所有方法,但仍然无法解决问题。
我在 matplotlib 中有一个简单的情节。当我注释掉调用plt.fill_between() 的行时,代码运行良好,但是当我取消注释时,它会抛出溢出错误。
注意:此错误发生在我的 Ubuntu 15.10 笔记本电脑上
但是在 MacOS 中,我尝试了相同的代码,但没有显示错误(令人惊讶!)
更新: 我使用后端作为 TkAgg。
print(mpl.rcParamsDefault)
# Answer is agg.
我的代码如下所示:
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author : Bhishan Poudel
# Date : Mar 28, 2016
# Topic : OverflowError: Allocated too many blocks
# Note : python --version ==> Python 2.7.10
# Note : lsb_release -a ==> ubuntu 15.10
# Imports
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
# plot values
x = np.arange(0.001, 25.0, 0.01)
A = 4.3
y = np.array( (-1.0/x) + (0.5*A*A/(x**2)) - (A*A/(x**3)) )
# Plots
plt.plot(x,y,color='k')
# Set axes limits
plt.ylim(-0.04,0.06)
# Attempt to resolve OverflowError
plt.rcParams['backend'] = 'TkAgg' # or, 'qt4agg'
plt.rcParams['agg.path.chunksize'] = 100000
# This did not worked!
# Fill the color
plt.fill_between(x, -0.04, y, color='darkgray', alpha=.5)
# If I comment this line there will be no error!
# Show the plot
plt.show()
我尝试的链接如下:
Matplotlib OverflowError: Allocated too many blocks
pyplot savefig allocating too many blocks
http://matplotlib.org/1.3.1/users/customizing.html
https://github.com/matplotlib/matplotlib/issues/5907
https://github.com/matplotlib/matplotlib/blob/master/matplotlibrc.template
浏览这些链接后,我最初的尝试是这样的:
# Attempt to resolve OverflowError
plt.rcParams['backend'] = 'TkAgg' # or, 'qt4agg'
plt.rcParams['agg.path.chunksize'] = 100000
# This did not worked!
尝试 #2:
我创建了一个文件~/.matplotlib/matplotlibrc
然后将以下代码放入其中:
agg.path.chunksize : 10000 # 0 to disable; values in the range
# 10000 to 100000 can improve speed slightly
# and prevent an Agg rendering failure
# when plotting very large data sets,
# especially if they are very gappy.
# It may cause minor artifacts, though.
# A value of 20000 is probably a good
# starting point.
尝试#3:我还安装了模块 seaborn
sudo -H pip install seaborn
并研究了一些文档。
https://stanford.edu/~mwaskom/software/seaborn/tutorial.html
但是,我也找不到解决此问题的方法。
更新:
错误报告如下:
bhishan@poudel:~/OneDrive/Programming/Python/pyprograms/plotting/matplotlib_customization$ /bin/sh /tmp/geany_run_script_R6KUEY.sh
/usr/lib/python2.7/dist-packages/matplotlib/collections.py:571: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
if self._edgecolors == str('face'):
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/matplotlib/backends/backend_qt5.py", line 338, in resizeEvent
self.draw()
File "/usr/lib/python2.7/dist-packages/matplotlib/backends/backend_qt5agg.py", line 148, in draw
FigureCanvasAgg.draw(self)
File "/usr/lib/python2.7/dist-packages/matplotlib/backends/backend_agg.py", line 469, in draw
self.figure.draw(self.renderer)
File "/usr/lib/python2.7/dist-packages/matplotlib/artist.py", line 59, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "/usr/lib/python2.7/dist-packages/matplotlib/figure.py", line 1079, in draw
func(*args)
File "/usr/lib/python2.7/dist-packages/matplotlib/artist.py", line 59, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "/usr/lib/python2.7/dist-packages/matplotlib/axes/_base.py", line 2092, in draw
a.draw(renderer)
File "/usr/lib/python2.7/dist-packages/matplotlib/artist.py", line 59, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "/usr/lib/python2.7/dist-packages/matplotlib/collections.py", line 751, in draw
Collection.draw(self, renderer)
File "/usr/lib/python2.7/dist-packages/matplotlib/artist.py", line 59, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "/usr/lib/python2.7/dist-packages/matplotlib/collections.py", line 293, in draw
mpath.Path(offsets), transOffset, tuple(facecolors[0]))
File "/usr/lib/python2.7/dist-packages/matplotlib/backends/backend_agg.py", line 124, in draw_markers
return self._renderer.draw_markers(*kl, **kw)
OverflowError: Allocated too many blocks
------------------
(program exited with code: 0)
【问题讨论】:
-
你能不能也包括你得到的回溯?我无法在当前的 master + python 3 上重现这个
-
matplotlib 使用另一个后端在 macosx 和 linux 中进行绘图,请参阅 github.com/matplotlib/matplotlib/issues/5907。问题似乎是您的数据文件很大,如果您使用
fill_between,则可以绘制更多点 -
试试这个看看你使用的是哪个后端
plt.get_backend() -
我可以使用 Python 3.4.2、Matplotlib 1.4.2 重现这一点。这里的后端是 TkAgg。为前面的研究竖起大拇指,顺便说一句!一些问题:我可以删除“subplots”行,你需要吗?此外,只需致电
plt.fill_between(x, y)也对我有用。 -
我需要在曲线和底线之间填充(y= -0.04,而不是 y=0.0),这会产生错误。
标签: python matplotlib plot error-handling