From: R. O'Gara <ronogara@ya...>  20110818 04:10:45
Attachments:
clabel.png
clabelmanual.png

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 
From: R. O'Gara <ronogara@ya...>  20110818 04:10:45
Attachments:
clabel.png
clabelmanual.png

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 
From: JaeJoon Lee <lee.joon@gm...>  20110823 03:56:22

Can you post an simple selfcontained 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 <ronogara@...> 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/wandiscod2d2 > _______________________________________________ > Matplotlibusers mailing list > Matplotlibusers@... > https://lists.sourceforge.net/lists/listinfo/matplotlibusers > > 
From: R. O'Gara <ronogara@ya...>  20110902 14:28:10
Attachments:
clabels.png

JaeJoon, thanks for your reply. There is a combination of effects that make my contour labels placed in unfortunate positions. Here is a selfcontained 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: JaeJoon Lee <lee.j.joon@...> To: R. O'Gara <ronogara@...> Cc: "matplotlibusers@..." <matplotlibusers@...> Sent: Monday, August 22, 2011 11:56 PM Subject: Re: [Matplotlibusers] contour's clabels overlap each other in an ImageGrid Can you post an simple selfcontained 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 <ronogara@...> 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/wandiscod2d2 > _______________________________________________ > Matplotlibusers mailing list > Matplotlibusers@... > https://lists.sourceforge.net/lists/listinfo/matplotlibusers > > 
From: JaeJoon Lee <lee.joon@gm...>  20110906 00:58:14

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 <ronogara@...> wrote: > JaeJoon, thanks for your reply. > There is a combination of effects that make my contour labels placed in unfortunate positions. Here is a selfcontained 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: JaeJoon Lee <lee.j.joon@...> > To: R. O'Gara <ronogara@...> > Cc: "matplotlibusers@..." <matplotlibusers@...> > Sent: Monday, August 22, 2011 11:56 PM > Subject: Re: [Matplotlibusers] contour's clabels overlap each other in an ImageGrid > > Can you post an simple selfcontained 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 <ronogara@...> 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/wandiscod2d2 >> _______________________________________________ >> Matplotlibusers mailing list >> Matplotlibusers@... >> https://lists.sourceforge.net/lists/listinfo/matplotlibusers >> >> > 