python – 我可以对这些子图中的重叠标签做些什么？

下面是我用matplotlib创建的图.问题非常明显 – 标签重叠,整个事情是一个难以理解的混乱.

我尝试为每个子图调用tight_layout,但这会导致我的ipython-notebook内核崩溃.

我该怎么做才能修复布局？可接受的方法包括修复每个子图的xlabel,ylabel和title,但另一种(也许更好的)方法是为整个图形提供单个xlabel,ylabel和title.

这是我用来生成上述子图的循环：

for i,sub in enumerate(datalist):
    subnum = i + start_with
    subplot(3,4,i)

     # format data (sub is a PANDAS dataframe)
    xdat = sub['x'][(sub['in_trl'] == True) & (sub['x'].notnull()) & (sub['y'].notnull())]
    ydat = sub['y'][(sub['in_trl'] == True) & (sub['x'].notnull()) & (sub['y'].notnull())]

    # plot
    hist2d(xdat,ydat,bins=1000)
    plot(0,'ro')  # origin

    title('Subject {0} in-Trial Gaze'.format(subnum))
    xlabel('Horizontal Offset (degrees visual angle)')
    ylabel('Vertical Offset (degrees visual angle)')

    xlim([-.005,.005])
    ylim([-.005,.005])
    # tight_layout  # crashes ipython-notebook kernel

show()

更新：

好的,所以ImageGrid似乎是要走的路,但我的身材仍然看起来有点不稳定：

这是我使用的代码：

fig = figure(dpi=300)
grid = ImageGrid(fig,111,nrows_ncols=(3,4),axes_pad=0.1)

for gridax,(i,sub) in zip(grid,enumerate(eyelink_data)):
    subnum = i + start_with

     # format data
    xdat = sub['x'][(sub['in_trl'] == True) & (sub['x'].notnull()) & (sub['y'].notnull())]
    ydat = sub['y'][(sub['in_trl'] == True) & (sub['x'].notnull()) & (sub['y'].notnull())]

    # plot
    gridax.hist2d(xdat,'ro')  # origin

    title('Subject {0} in-Trial Gaze'.format(subnum))
    xlabel('Horizontal Offsetn(degrees visual angle)')
    ylabel('Vertical Offsetn(degrees visual angle)')

    xlim([-.005,.005])

show()

解决方法

第一个例子直接从该链接解除(并轻微修改)：

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid
import numpy as np

im = np.arange(100)
im.shape = 10,10

fig = plt.figure(1,(4.,4.))
grid = ImageGrid(fig,# similar to subplot(111)
                nrows_ncols = (2,2),# creates 2x2 grid of axes
                axes_pad=0.1,# pad between axes in inch.
                aspect=False,# do not force aspect='equal'
                )

for i in range(4):
    grid[i].imshow(im) # The AxesGrid object work as a list of axes.

plt.show()

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