Hi, I think this is partly because the current clabel implementation of matpltolib does not correctly account the dpi setting. I opened a pull request I think fix this problem. Please try that fix if you can.
https://github.com/matplotlib/matplotlib/pull/453 Otherwise, I think you can workaround this by using the default dpi (72 or similar). Regards, -JJ On Fri, Sep 2, 2011 at 11:28 PM, R. O'Gara <ronog...@yahoo.com> wrote: > Jae-Joon, thanks for your reply. > There is a combination of effects that make my contour labels placed in > unfortunate positions. Here is a self-contained example (somewhat different > from issue I originally explained, but illustrates the fact clabels are not > where I'd like them to be) > > > import numpy as np > import matplotlib as mpl > ff = 10 > params = { > 'text.usetex': True, > 'axes.labelsize': ff, > 'axes.fontsize': ff, > 'legend.fontsize' : ff, > 'xtick.labelsize' : ff, > 'ytick.labelsize' : ff, > 'figure.dpi': 150, > 'figure.figsize' : [5,2], > } > mpl.rcParams.update(params) > import matplotlib.pyplot as plt > import matplotlib.gridspec as gridspec > > gs = gridspec.GridSpec(1,2) > > ax = plt.subplot(gs[0]) > > xi = np.linspace(0,0.4,100) > yi = np.linspace(0,0.4,100) > xx,yy = np.meshgrid(xi,yi) > zi = np.sin(5*xx*yy) > > v = np.arange(0.0, 0.5, 0.1) > cplot = ax.contour(xi, yi, zi, v, linewidths=0.5, colors='k') > ax.clabel(cplot, v, > fontsize = 8, > inline=True, > fmt = "%0.2f", > ) > ax.axis([np.min(xi),np.max(xi),np.min(yi),np.max(yi)]) > plt.show() > > > > The end result is that contour labels are placed almost outside of the grid, > with most of the area in the center being blank. I am pretty sure it has to > do with the way rcParams are set, but I have no idea why. Params I do need to > set are text.usetex, figure.dpi, and figure.figsize. I am using matplotlib > 1.0.1. > > Thanks for your help, > > > > ----- Original Message ----- > From: Jae-Joon Lee <lee.j.j...@gmail.com> > To: R. O'Gara <ronog...@yahoo.com> > Cc: "matplotlib-users@lists.sourceforge.net" > <matplotlib-users@lists.sourceforge.net> > Sent: Monday, August 22, 2011 11:56 PM > Subject: Re: [Matplotlib-users] contour's clabels overlap each other in an > ImageGrid > > Can you post an simple self-contained script that reproduces your problem? > I just tried something similar but could not reproduces your problem. > Here is what I did, > Also, what version of matplotlb are you using? > > Regards, > > -JJ > > import matplotlib.pyplot as plt > import numpy as np > > from mpl_toolkits.axes_grid1 import ImageGrid > > fig = plt.figure(1) > > arr = np.arange(100).reshape((10, 10)) > > grid = ImageGrid(fig, 111, (2, 2)) > > > cntr0 = grid[0].contour(arr) > cntr1 = grid[1].contour(arr) > cntr2 = grid[2].contour(arr) > cntr3 = grid[3].contour(arr) > > plt.clabel(cntr0, manual=True) > plt.clabel(cntr1, manual=True) > plt.clabel(cntr2, manual=True) > plt.clabel(cntr3, manual=True) > > > > On Thu, Aug 18, 2011 at 1:10 PM, R. O'Gara <ronog...@yahoo.com> wrote: >> Hey guys, >> >> >> I was hoping someone could provide a hint for how I should go about >> correcting this. As you can see, locations for the inline labels for >> contours in this image are unfortunately chosen, and they overlap with one >> another. If I set manual to 'True' then I get this weird behavior >> where I can only choose labels in the top left grid and nothing is shownin >> any of the other grids. >> >> I am using a 2x2 Image Grid (I get the same problem when using gridspec >> instead of image grid), and loadingcontour data (2x2 array) from a file. >> >> Thanks for your help, >> Ron >> ------------------------------------------------------------------------------ >> Get a FREE DOWNLOAD! and learn more about uberSVN rich system, >> user administration capabilities and model configuration. Take >> the hassle out of deploying and managing Subversion and the >> tools developers use with it. http://p.sf.net/sfu/wandisco-d2d-2 >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> > ------------------------------------------------------------------------------ Special Offer -- Download ArcSight Logger for FREE! Finally, a world-class log management solution at an even better price-free! And you'll get a free "Love Thy Logs" t-shirt when you download Logger. Secure your free ArcSight Logger TODAY! http://p.sf.net/sfu/arcsisghtdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
