[Matplotlib-users] how to put colorbar label beside the handle?
Dear all, In the colorbar label for contourf or imshow plot, I want the effect like that in the attached figure. Is there some way to move the position of colorbar label? could someone give any hints? Thanks! Chao -- *** Chao YUE Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL) UMR 1572 CEA-CNRS-UVSQ Batiment 712 - Pe 119 91191 GIF Sur YVETTE Cedex Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16 attachment: label.jpg-- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_nov___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] how to reverse the colorbar and its label at the same time?
Dear all, Is there a way to reverse the colorbar label, the default is small value at the bottom and big value at the top, yet I would like the big value at the bottom and small value at the top. all code in pylab mode. import numpy as np import matplotlib as mat a = np.arange(100).reshape(10,10) contourf(a,levels=np.arange(0,101,10)) colorbar() in the above figure, colorbar label shows 0 at the bottom and 100 at the top. Yet I want the 0 at the top and the 100 at the bottom, with the same sequence of colors in the colorbar. One way is to reverse the cmap, and then reverse the colorbar labels at the same time: a = np.arange(100).reshape(10,10) contourf(a,levels=np.arange(0,101,10),cmap=mat.cm.jet_r) cbar = colorbar() cbar.set_ticks(np.arange(0,101,10)) cbar.set_ticklabels(np.arange(100,-1,-10)) But the problem is, sometimes I used the customized colormap, and to increase the contrast, I do linear transformation for the data before I plot them. The the data that are really used for plotting are not the same. But in the colorbar label, I used the values before transformation. Is this complicated case, reverse the customized colormap could not solve the problem (unlike in the simple example above.) Does anyone have the same experience? Thanks et cheers, Chao -- *** Chao YUE Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL) UMR 1572 CEA-CNRS-UVSQ Batiment 712 - Pe 119 91191 GIF Sur YVETTE Cedex Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16 -- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_nov___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] colormap shift
Hi, I once was indicated a way to extract colors from exsiting colormaps: I just answered a question on Stackoverflow and maybe you can have a look. all code in pylab mode a = np.arange(100).reshape(10,10) #here is the image with white and black end imshow(a,cmap=mat.cm.binary) colorbar() #we extract only the 0.2--0.7 part of original colormap and make a new one #so that the white and black end are removed rgba_array = mat.cm.binary(np.linspace(0,1,num=10,endpoint=True)) extract_rgba_array_255 = rgba_array[2:8,0:3] imshow(a,cmap=mat.colors.ListedColormap(extract_rgba_array_255)) colorbar() cheers, Chao -- View this message in context: http://matplotlib.1069221.n5.nabble.com/colormap-shift-tp39660p39707.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_nov ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to reverse the colorbar and its label at the same time?
On Sat, Nov 10, 2012 at 7:07 AM, Chao YUE chaoyue...@gmail.com wrote: Dear all, Is there a way to reverse the colorbar label, the default is small value at the bottom and big value at the top, yet I would like the big value at the bottom and small value at the top. all code in pylab mode. import numpy as np import matplotlib as mat a = np.arange(100).reshape(10,10) contourf(a,levels=np.arange(0,101,10)) colorbar() in the above figure, colorbar label shows 0 at the bottom and 100 at the top. Yet I want the 0 at the top and the 100 at the bottom, with the same sequence of colors in the colorbar. One way is to reverse the cmap, and then reverse the colorbar labels at the same time: a = np.arange(100).reshape(10,10) contourf(a,levels=np.arange(0,101,10),cmap=mat.cm.jet_r) cbar = colorbar() cbar.set_ticks(np.arange(0,101,10)) cbar.set_ticklabels(np.arange(100,-1,-10)) Chao, I think it's as simple as: import numpy as np import matplotlib.pyplot as plt a = np.arange(100).reshape(10,10) fig, ax1 = plt.subplots() CS = ax1.contourf(a,levels=np.arange(0,101,10)) cbar = plt.colorbar(CS) cbar.ax.invert_yaxis() Does that produce the desired results? -p -- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_nov ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to reverse the colorbar and its label at the same time?
On Sat, Nov 10, 2012 at 9:41 AM, Paul Hobson pmhob...@gmail.com wrote: On Sat, Nov 10, 2012 at 7:07 AM, Chao YUE chaoyue...@gmail.com wrote: Dear all, Is there a way to reverse the colorbar label, the default is small value at the bottom and big value at the top, yet I would like the big value at the bottom and small value at the top. all code in pylab mode. import numpy as np import matplotlib as mat a = np.arange(100).reshape(10,10) contourf(a,levels=np.arange(0,101,10)) colorbar() in the above figure, colorbar label shows 0 at the bottom and 100 at the top. Yet I want the 0 at the top and the 100 at the bottom, with the same sequence of colors in the colorbar. One way is to reverse the cmap, and then reverse the colorbar labels at the same time: a = np.arange(100).reshape(10,10) contourf(a,levels=np.arange(0,101,10),cmap=mat.cm.jet_r) cbar = colorbar() cbar.set_ticks(np.arange(0,101,10)) cbar.set_ticklabels(np.arange(100,-1,-10)) Chao, I think it's as simple as: import numpy as np import matplotlib.pyplot as plt a = np.arange(100).reshape(10,10) fig, ax1 = plt.subplots() CS = ax1.contourf(a,levels=np.arange(0,101,10)) cbar = plt.colorbar(CS) cbar.ax.invert_yaxis() Does that produce the desired results? -p Or, you could plot -a instead of a. -- Damon McDougall http://www.damon-is-a-geek.com Institute for Computational Engineering Sciences 201 E. 24th St. Stop C0200 The University of Texas at Austin Austin, TX 78712-1229 -- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_nov ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to put colorbar label beside the handle?
On Sat, Nov 10, 2012 at 6:25 AM, Chao YUE chaoyue...@gmail.com wrote: Dear all, In the colorbar label for contourf or imshow plot, I want the effect like that in the attached figure. Is there some way to move the position of colorbar label? could someone give any hints? Chao, It's not clear what you mean. What's distinctive about the image you attached? Is it: - The ranges of values listed to the side? - The discrete blocks for each value range? - The units being listed above the colorbar? I think I can help you do any of those things. I just need to know what you're specifically trying to do. -paul -- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_nov ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to reverse the colorbar and its label at the same time?
Thanks, I think cbar.ax.invert_yaxis() is what I am looking for. Chao On Sat, Nov 10, 2012 at 4:51 PM, Damon McDougall damon.mcdoug...@gmail.comwrote: On Sat, Nov 10, 2012 at 9:41 AM, Paul Hobson pmhob...@gmail.com wrote: On Sat, Nov 10, 2012 at 7:07 AM, Chao YUE chaoyue...@gmail.com wrote: Dear all, Is there a way to reverse the colorbar label, the default is small value at the bottom and big value at the top, yet I would like the big value at the bottom and small value at the top. all code in pylab mode. import numpy as np import matplotlib as mat a = np.arange(100).reshape(10,10) contourf(a,levels=np.arange(0,101,10)) colorbar() in the above figure, colorbar label shows 0 at the bottom and 100 at the top. Yet I want the 0 at the top and the 100 at the bottom, with the same sequence of colors in the colorbar. One way is to reverse the cmap, and then reverse the colorbar labels at the same time: a = np.arange(100).reshape(10,10) contourf(a,levels=np.arange(0,101,10),cmap=mat.cm.jet_r) cbar = colorbar() cbar.set_ticks(np.arange(0,101,10)) cbar.set_ticklabels(np.arange(100,-1,-10)) Chao, I think it's as simple as: import numpy as np import matplotlib.pyplot as plt a = np.arange(100).reshape(10,10) fig, ax1 = plt.subplots() CS = ax1.contourf(a,levels=np.arange(0,101,10)) cbar = plt.colorbar(CS) cbar.ax.invert_yaxis() Does that produce the desired results? -p Or, you could plot -a instead of a. -- Damon McDougall http://www.damon-is-a-geek.com Institute for Computational Engineering Sciences 201 E. 24th St. Stop C0200 The University of Texas at Austin Austin, TX 78712-1229 -- *** Chao YUE Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL) UMR 1572 CEA-CNRS-UVSQ Batiment 712 - Pe 119 91191 GIF Sur YVETTE Cedex Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16 -- Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_nov___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
