Hello, I am new to matplotlib and am having trouble understanding how to set the size of a subplot when a figure contains multiple subplots. In particular, I have been playing around with the scatter_hist.py demo at http://matplotlib.sourceforge.net/examples/axes_grid/scatter_hist.html. A simplified version of this code is given below:
***************** import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.axes_grid import make_axes_locatable fig = plt.figure(1, figsize=(4,4)) axScatter = plt.subplot(111) divider = make_axes_locatable(axScatter) axHisty = divider.new_horizontal(1.2, pad=0.5, sharey=axScatter) fig.add_axes(axHisty) x = np.random.randn(1000) y = np.random.randn(1000) axScatter.scatter(x, y) axHisty.hist(x, orientation='horizontal') plt.draw() plt.show() ***************** I'd like to have direct control over the size of the scatter plot in this figure. As it stands, I can 'sort of' control its size by changing the figsize property of the figure. I say 'sort of' since the size of any labels also come into play here. Is it possible to directly make the scatter plot a certain size (say, 3 x 2 inches), set the figure size independently (say, 5 x 4 inches), and have the histogram size be set based on the scatter plot height and width set in divider.new_horizontal (in this case to 3 x 1.2 inches)? I realize that in this example, it probably seems silly to not just change figsize, but I am working with a more complicated plot in reality where I'd like precise control over the size of the initial subplot since the aspect ratio is important to me. I can then adjust the figsize to make sure all the labels fit in nicely. Thanks for any and all help. Cheers, Donovan ------------------------------------------------------------------------------ Come build with us! The BlackBerry® Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9-12, 2009. Register now! http://p.sf.net/sfu/devconf _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
