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Hatch, Sara J wrote: > > Matplotlib Folks, > > I tried to use the orthographic projection in the basemap toolkit and > I’m finding that the parallel lines are not behaving correctly, i.e., > there are horizontal lines connecting the left and right side of the > map boundary where a curved latitude line intersects the map boundary. > I’ve included a sample script below and a figure illustrating the problem. > > import pylab > > import mpl_toolkits.basemap as basemap > > ortho = > basemap.Basemap(projection='ortho',lon_0=0,lat_0=50,rsphere=1737.4) > > ortho.drawparallels(pylab.arange(-90,90,30)) > > ortho.drawmeridians(pylab.arange(0,360,30)) > > ortho.drawmapboundary(fill_color='w') > > In addition, how do I change the x/y coordinates the center of the > projection to be (0,0)? With the above code, the center of the > bounding circle is at (1737.4,1737.4). > > Thanks for the help, > > Sara > Sara: If you take out the rsphere=1734.4 (thereby using the default value of 6370997), the jumpy lines go away. rsphere=1734.4 means assume the earth is a perfect sphere with a radius of 1734.4 meters. That's an awfully small earth - I think the jumpy lines are a result of roundoff errors in the map projection calculation for very small spheres. Still, that shouldn't happen, so I will look into it. Regarding the x/y coordinate of the middle of the plot - Basemap assigns the lower left corner of the map projection region an x/y value of 0,0 for most map projections. -Jeff
Voila, This was what I have been looking for exactly. Thanks for the solution. PS: I have edited the related wiki page reflecting this method, as well: http://www.scipy.org/Cookbook/Matplotlib/Multiple_Subplots_with_One_Axis_Label Gökhan On Thu, Mar 12, 2009 at 10:28 AM, Sebastian Krieger <seb...@io...>wrote: > I think now I got what you want. Simply put the label on the middle > subplot. If it's too big it will span accross the other plots. > > import pylab > > figprops = dict(figsize=(8., 8. / 1.618), > dpi=128) # Figure properties > adjustprops = dict(left=0.1, bottom=0.1, right=0.97, top=0.93, wspace=0.2, > > hspace=0.2) # Subplot > properties > > fig = > pylab.figure(**figprops) # > New figure > fig.subplots_adjust(**adjustprops) > # Tunes the subplot layout > > ax = fig.add_subplot(3, 1, 1) > bx = fig.add_subplot(3, 1, 2, sharex=ax, sharey=ax) > cx = fig.add_subplot(3, 1, 3, sharex=ax, sharey=ax) > > pylab.setp(ax.get_xticklabels(), visible=False) > pylab.setp(bx.get_xticklabels(), visible=False) > > bx.set_ylabel('This is a long label shared among more axes', fontsize=14) > cx.set_xlabel('And a shared x label', fontsize=14) > > Cheers, > Sebastian > > Gökhan SEVER wrote: > > Hello Sebastian, > > Not sure I could create a same-axes ylabels subplots similar to the one > that is shown on the given screenshot with your code. ( > http://img11.imageshack.us/img11/8793/subplots.png) > > Sorry haven't managed to make LateX work on my matplotlib outputs :( > > Thanks for your time and consideration. > > Gökhan > >
){kind=link}
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta content="text/html;charset=UTF-8" http-equiv="Content-Type">
</head>
<body bgcolor="#ffffff" text="#000000">
I think now I got what you want. Simply put the label on the middle
subplot. If it's too big it will span accross the other plots.<br>
<blockquote><tt>import pylab</tt><br>
<br>
<tt>figprops = dict(figsize=(8., 8. / 1.618),
dpi=128) # Figure properties</tt><br>
<tt>adjustprops = dict(left=0.1, bottom=0.1, right=0.97, top=0.93,
wspace=0.2,</tt><br>
<tt>
hspace=0.2) # Subplot
properties</tt><br>
<br>
<tt>fig =
pylab.figure(**figprops)
# New figure</tt><br>
<tt>fig.subplots_adjust(**adjustprops)
# Tunes the subplot layout</tt><br>
<br>
<tt>ax = fig.add_subplot(3, 1, 1)</tt><br>
<tt>bx = fig.add_subplot(3, 1, 2, sharex=ax, sharey=ax)</tt><br>
<tt>cx = fig.add_subplot(3, 1, 3, sharex=ax, sharey=ax)</tt><br>
<br>
<tt>pylab.setp(ax.get_xticklabels(), visible=False)</tt><br>
<tt>pylab.setp(bx.get_xticklabels(), visible=False)</tt><br>
<br>
<tt>bx.set_ylabel('This is a long label shared among more axes',
fontsize=14)</tt><br>
<tt>cx.set_xlabel('And a shared x label', fontsize=14)</tt><br>
</blockquote>
Cheers,<br>
Sebastian<br>
<br>
Gökhan SEVER wrote:
<blockquote
cite="mid:49d...@ma..."
type="cite">Hello Sebastian,<br>
<br>
Not sure I could create a same-axes ylabels subplots similar to the one
that is shown on the given screenshot with your code. (<a
moz-do-not-send="true"
href="http://img11.imageshack.us/img11/8793/subplots.png">http://img11.imageshack.us/img11/8793/subplots.png</a>)<br>
<br>
Sorry haven't managed to make LateX work on my matplotlib outputs :(<br>
<br>
Thanks for your time and consideration.<br>
<br>
Gökhan<br>
</blockquote>
</body>
</html>
Hello Sebastian, Not sure I could create a same-axes ylabels subplots similar to the one that is shown on the given screenshot with your code. ( http://img11.imageshack.us/img11/8793/subplots.png) Sorry haven't managed to make LateX work on my matplotlib outputs :( Thanks for your time and consideration. Gökhan On Wed, Mar 11, 2009 at 8:49 AM, Sebastian Krieger <seb...@io...>wrote: > Hi Gökhan et al, > > I hope the following code might help you out and show you the basic idea of > sharing the same x and y axis over several subplots. I've made a plot with 2 > x 2 subplots sharing both x and y axis and showing only the labels at the > left and the labels at the bottom. > > import pylab > > figprops = dict(figsize=(8., 8. / 1.618), > dpi=128) # Figure properties > adjustprops = dict(left=0.1, bottom=0.1, right=0.97, top=0.93, wspace=0.08, > > hspace=0.1) # Subplot > properties > > fig = > pylab.figure(**figprops) # > New figure > fig.subplots_adjust(**adjustprops) > # Tunes the subplot layout > > ax = fig.add_subplot(2, 2, 1) > bx = fig.add_subplot(2, 2, 2, sharex=ax, sharey=ax) > cx = fig.add_subplot(2, 2, 3, sharex=ax, sharey=ax) > dx = fig.add_subplot(2, 2, 4, sharex=ax, sharey=ax) > > ax.plot(X1, Y1, 'k-') > bx.plot(X2, Y2, 'k-') > cx.plot(X3, Y3, 'k-') > dx.plot(X4, Y4, 'k-') > > pylab.setp(ax.get_xticklabels(), visible=False) > pylab.setp(bx.get_xticklabels(), visible=False) > pylab.setp(bx.get_yticklabels(), visible=False) > pylab.setp(dx.get_yticklabels(), visible=False) > > You can make the subplots come closer by changing the *wspace* and *hspace > * entries in the *adjustprops* dictionary. > > Cheers, > Sebastian > > > Gökhan SEVER wrote: > > I don't know how to do this in matplotlib. Can you give an example? > > Chip, > > I tried your method but didn't work for me :( > > So far, my best approach is use some GIMP tricks on transparent canvas. > With these improvements I am finishing my first official poster. > > Thanks. > Gökhan > >
hi all, is there a way to plot the results of hierarchical clustering as a dendrogram on top and to the sides of a heatmap matrix? for example, like this figure: http://www.egms.de/figures/meetings/gmds2006/06gmds075.f1.png any examples of how to do this in matplotlib would be greatly appreciated. thank you.
![http://img11.imageshack.us/img11/8793/subplots.png">http://img11.imageshack.us/img11/8793/subplots.png</a>)<br>](/index.cgi/contrast/http://img11.imageshack.us/img11/8793/subplots.png">http://img11.imageshack.us/img11/8793/subplots.png</a>)<br>){kind=link}
