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From: Donovan Parks <donovan.parks@gm...>  20091006 01:00:23

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 
From: Chloe Lewis <chlewis@be...>  20091006 01:38:04

You will probably want to add axes explicitly (not with subplot), e.g. fig.add_axes([.1,.1,.71,.8]) specifies the coordinates of one corner and the width and height (in proportions of the figure size). When doing this explicitly, you will probably need to do some extra adjustments to fit the axis labels and so forth. &C On Oct 5, 2009, at 5:59 PM, Donovan Parks wrote: > 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 912, 2009. Register > now! > http://p.sf.net/sfu/devconf > _______________________________________________ > Matplotlibusers mailing list > Matplotlibusers@... > https://lists.sourceforge.net/lists/listinfo/matplotlibusers 
From: JaeJoon Lee <lee.j.joon@gm...>  20091006 02:08:13

I just want to mention that axes size in mpl, by design, is supposed to be proportional to the figure size, so there could be cases when a fixedsized axes messes up something. Furthermore, using axes_grid toolkit can be a bit tricky, so I (as an author of the axes_grid toolkit) personally do no recommend it for someone new to matplotlib. Having said that, add below after the make_axes_locatable call. from mpl_toolkits.axes_grid import Size divider.get_horizontal()[0] = Size.Fixed(3.0) # 3 inch divider.get_vertical()[0] = Size.Fixed(2.0) # 2 inch The axes will have a fixed size regardless of the figure size. Also, take a look at the below example of fixed size axes. http://matplotlib.sourceforge.net/examples/axes_grid/demo_fixed_size_axes.html FYI, if you want your output automatically clipped according to the axes size and label etc., try savefig with bbox_inches="tight" option (it does not affect the displayed figure size). Although the current algorithm is not perfect, it seems to work okay for a simple case as yours. Regards, JJ On Mon, Oct 5, 2009 at 8:59 PM, Donovan Parks <donovan.parks@...> wrote: > 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 912, 2009. Register now! > http://p.sf.net/sfu/devconf > _______________________________________________ > Matplotlibusers mailing list > Matplotlibusers@... > https://lists.sourceforge.net/lists/listinfo/matplotlibusers > 