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What can I do with overlapping labels in these subheadings?

Below is the figure I created using matplotlib. The problem is pretty obvious - the shortcuts overlap and all this is an unreadable mess.

enter image description here

I tried calling tight_layoutfor each subtitle, but this is a failure of my ipython-notebook kernel.

What can I do to fix the layout? Acceptable approaches include fixing xlabel, ylabel, and title for each subtitle, but another (and possibly better) approach would be to have one xlabel, label, and title for the whole image.

Here's the loop I used to create the above subplots:

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, 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()

Update:

Ok, so ImageGridit seems to be coming, but my figure still looks a bit awkward:

enter image description here

Here is the code I used:

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

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

    xlim([-.005, .005])
    ylim([-.005, .005])

show()
+5
1

ImageGrid ().

( ):

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, 111, # 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()
+3

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