在发布此问题之前,我检查了所有可能的重复问题,并尝试了所有方法,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()
的行时代码运行完美,但是当我取消注释它会抛出溢出错误。
注意:我的笔记本电脑使用Ubuntu 15.10发生此错误 但是在MacOS中我尝试了相同的代码并且没有显示任何错误(令人惊讶!)
更新 我用后端作为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()
我尝试过的链接如下:
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
完成这些链接后,我的初步尝试是这样的:
# 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
然后在其中放置以下代码:
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
并研究了一些文件。
https://stanford.edu/~mwaskom/software/seaborn/tutorial.html
但是,我也找不到解决这个问题的方法。
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)
答案 0 :(得分:3)
我无法在计算机上重现您的错误,但如果您想更改pyplot
的后端,最好在导入import numpy as np
import matplotlib as mpl
mpl.use('TkAgg') # I'd advise testing 'Gtk3Agg' or 'Qt4Agg' (or 5) instead
import matplotlib.pyplot as plt
print(mpl.get_backend()) # check that the change occurred
之前执行此操作。
尝试:
matplotlib
编辑:好的,我发现了问题,这是因为你的功能差异很大,所以plt.fill_between(x, -0.04, np.clip(y,-0.04,0.06))
认为它有一个巨大的表面覆盖...尝试:
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