Tick properties for scatterplot matrices with Matplotlib

Question

I am trying to plot a scatterplot matrix based on the code written by Joe Kington: Is there a function to make scatterplot matrices in matplotlib? Some people already helped me: Thank you again (especially J.K.). I am having a last problem: I cannot rotate the ticks of some axis for which numbers overlap (bottom left): I would like to try to have them vertical but I cannot do it.... Here is my code: ``` import itertools import numpy as np import pylab as plot import scipy import matplotlib import matplotlib.pyplot as plt from matplotlib import axis import math from matplotlib import rc import os import platform def main(): FigSize=8.89 FontSize=8 np.random.seed(1977) numvars, numdata = 4, 10 data = 10 * np.random.random((numvars, numdata)) fig = scatterplot_matrix(data, ['mpg', 'disp', 'drat', 'wt'], FigSize, FontSize, linestyle='none', marker='o', color='black', mfc='none', markersize=3,) fig.suptitle('Simple Scatterplot Matrix') plt.savefig('Plots/ScatterplotMatrix/ScatterplotMatrix…

Accepted Answer

You can rotate the `xtick` labels using `setp`.

```
from matplotlib.artist import setp
```

Then after you set the x tick positions for the top row and left column of subplot call:

```
setp(ax.get_xticklabels(), rotation=90)
```

To make the size of the subplots equal, you can `fig.subplots_adjust` to set the area of all the subplots to a square. Something like this:

```
gridSize = 0.6
leftBound = 0.5 - gridSize/2
bottomBound = 0.1
rightBound = leftBound + gridSize
topBound = bottomBound + gridSize
fig.subplots_adjust(hspace=0.05, wspace=0.05, left=leftBound,
                        bottom=bottomBound, right=rightBound, top=topBound)
```

If the figure size isn't square, you'll need to change the shape of the grid accordingly. Alternately, you could add each subplot axes individually with `fig.add_axes`. That will allow you to set the size directly but you'll also have to set the location.

Don't use `bbox_inches='tight'` to save the figure or you'll lose the title with these setting. You can save like this:

```
plt.savefig('ScatterplotMatrix.pdf',format='pdf', dpi=1000, transparent=True)
```

The resulting graph looks like this:

Tick properties for scatterplot matrices with Matplotlib

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