Re: [Matplotlib-users] Centering Text with axes_divider
I wonder why the simple text command does not work for you? e.g., def add_center_text(ax): ax.text(0.5, 0.9075, Centered Title, ha='center', va='center', fontsize=18, bbox=dict(boxstyle='round, pad=0.5, rounding_size=0.25', fc=white, ec=k, lw=2), transform=ax.transAxes) Also, annotate command gives you more flexibility in text positioning. The axes location is supposed to be known during the drawing time. To get the axes position, you may do something like ax1._axes_locator(ax1, fig._cachedRenderer) Of course, this need to be done after the figure is properly drawn (e.g., after calling draw()) or during the drawing time. Regards, -JJ On Sat, Mar 10, 2012 at 1:00 PM, Patrick Marsh patrickmars...@gmail.com wrote: Hi, All, Here's an update to the problem I submitted last night. I was able to utilize anchored text to work for centering a title, which is ultimately what I'm wanting to do now. (Although, I'd still like to know the proper way to get the axes bounds when using axes_divider). The new problem lies how to horizontally align the text inside the anchored box. When the horizontal alignment is left, the text lines up in the anchored box. However, as the updated example below shows, then you use center or right, the text is now positioned outside the anchored box. Is this a bug in how the text is aligned? If so, how might I go about tracking it down? https://gist.github.com/2004869 (rev: b984ca) Cheers, Patrick --- Patrick Marsh Ph.D. Student / Liaison to the HWT School of Meteorology / University of Oklahoma Cooperative Institute for Mesoscale Meteorological Studies National Severe Storms Laboratory http://www.patricktmarsh.com On Fri, Mar 9, 2012 at 12:12 AM, Patrick Marsh patrickmars...@gmail.com wrote: Greetings, Let me begin by saying that I've fallen in love with ImageGrid. I love the control it gives me in setting up plots, and I really like the control it offers for setting up a colorbar. Unfortunately, like all relationships, ImageGrid and I have hit a rough patch. I like to manually place titles and other boxes of texts on plots that I make using ImageGrid. However, to center things I have to know what the axes bounds are so I can do the centering calculations. Unfortunately, when using ImageGrid, or axes_divider, I have yet to find a way to get the axes bounds that are actually used to do the plotting. When I try to use ax.get_position().bounds I get the pre-adjusted bounds, even if I use plt.draw() before requesting the axes_positions. This means the only way I can center the text is by guessing what the final axes bounds will be. Is there any way of getting the final bounds? It appears anchored text is able to do it, but I haven't been able to... Here's a self-contained example script that demonstrates the problem. I don't use ImageGrid, instead using axes_divider, however this is the same problem that AxesGrid has. (I'm guessing this is because ImageGrid ultimately does what I did here behind the scenes.) https://gist.github.com/2004869 Thanks for any help! Patrick --- Patrick Marsh Ph.D. Student / Liaison to the HWT School of Meteorology / University of Oklahoma Cooperative Institute for Mesoscale Meteorological Studies National Severe Storms Laboratory http://www.patricktmarsh.com -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Centering Text with axes_divider
Hi, JJ, I wonder why the simple text command does not work for you? e.g., def add_center_text(ax): ax.text(0.5, 0.9075, Centered Title, ha='center', va='center', fontsize=18, bbox=dict(boxstyle='round, pad=0.5, rounding_size=0.25', fc=white, ec=k, lw=2), transform=ax.transAxes) The simple answer here is that I didn't understand what the transform keyword argument was doing. I'm not entirely sure, still, but I gather it has something to do with handling the changing of the axes coordinates. Man, I still have so much to learn about MPL Also, annotate command gives you more flexibility in text positioning. The axes location is supposed to be known during the drawing time. To get the axes position, you may do something like ax1._axes_locator(ax1, fig._cachedRenderer) Of course, this need to be done after the figure is properly drawn (e.g., after calling draw()) or during the drawing time. Excellent. Thank you fot taking the time to explain how this works. Although your first suggestion is what I need for the moment, I'm glad to know how to get the axes positions, should I ever need them. Thanks again! Patrick -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] custom markers from images?
One way to use images as a marker would be to use offsetbox module. Here is an example adopted from http://matplotlib.sourceforge.net/examples/pylab_examples/demo_annotation_box.html Regards, -JJ import matplotlib.pyplot as plt from matplotlib.offsetbox import OffsetImage, AnnotationBbox from matplotlib.cbook import get_sample_data import numpy as np if 1: fig = plt.gcf() fig.clf() ax = plt.subplot(111) xy = [0.3, 0.55] arr = np.arange(100).reshape((10,10)) im = OffsetImage(arr, zoom=2) ab = AnnotationBbox(im, xy, xycoords='data', pad=0.3, ) ax.add_artist(ab) # another image from matplotlib._png import read_png fn = get_sample_data(lena.png, asfileobj=False) arr_lena = read_png(fn) imagebox = OffsetImage(arr_lena, zoom=0.1) xy = (0.7, 0.4) ab = AnnotationBbox(imagebox, xy, xycoords='data', pad=0.5, ) ax.add_artist(ab) ax.set_xlim(0, 1) ax.set_ylim(0, 1) plt.draw() plt.show() On Thu, Mar 8, 2012 at 4:25 AM, Michael Droettboom md...@stsci.edu wrote: It would be a nice idea. I'm not sure it's something that would work terribly well in vector backends as the images may not scale well. I should mention that there is already support to use arbitrary Unicode characters or math expressions as markers already, which does work well in vector backends. Mike On 03/07/2012 01:59 PM, C M wrote: I've for now taken a different approach that means I won't need custom markers from images. But I'm just curious: is there any wish/plans in Matplotlib to add support for this? I think it could do a lot to expand what's possible in terms of the look and feel of plots (even without things drifing into USA Today territory!). Just my $0.02 Che -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Runtime error with matplotlib in IDLE
I have an error when running my script using matplotlib using IDLE. I suspect it is something to do with either numpy or matplotlib and I was wondering if any other users have had a similar problem. I have recently installed Python, matplotlib and numpy, I have not had it working correctly using IDLE on this machine. The error message is: Runtime Error! Program: C:\Python27\pythonw.exe This application has requested the Runtime to terminate it in an unusual way. Please contact the application's supporter team for more information. The window header says Microsoft Visual C++ Runtime Library (which seems to be about debugging). The error occurs about 50% of the time. When I run my script in the command line it runs fine everytime. I am using matplotlib and generating a pdf. If I remove the pdf generation step I still get the error. But running another script (on the csv module) don't seem to generate the error. I have searched on the internet without luck (suggestion of installing visual studio which I have got) or posting to the scipy list (well Im not using scipy). I am using Win7 32 bit and matplotlib 1.1 and numpy 1.6.1 and python 2.7. Has anyone else had similar message? Catherine -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Set various parameters of a plot window.
Hello everybody, I am trying to write a rule for AwesomeWM, so that all matplotlib related windows would be floating and not tiled. For this purpose I want to filter matplotlib windows by some window attribute, like class, instance or title. Is there a way to modify the window class or instance easily? I already know how to modify the title of the window, but this is not sufficient as any dialogs, which would be created from the toolbar on the plot window will not have the same title and the filtering can not be applied to them. If I have not explained this clearly enough, please let me know, what I need to clarify. All best, Ignas A. -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
