"OverflowError:分配了太多块":

Question

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()代码的行完美时,但是当我取消注释它会抛出溢出错误.

注意:我的笔记本电脑与Ubuntu 15.10发生此错误
但是在MacOS中我尝试了相同的代码,它没有显示任何错误(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()

我试过的链接如下:

Matplotlib OverflowError:分配了太多块
pyplot savefig分配了太多块
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

通过这些链接后,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 然后将代码放在其中:

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)

更新:所需的图如下所示:

Answer 1

我无法在我的计算机上重现您的错误，但如果您想更改matplotlib的后端，最好在导入之前进行pyplot。

尝试：

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

编辑：好的，我发现了问题，这是因为你的函数几乎发散，所以matplotlib认为它有一个巨大的表面需要覆盖......尝试：

plt.fill_between(x, -0.04, np.clip(y,-0.04,0.06))