Mailman 3 January 2017 - Matplotlib-users

Key Press and Key Release Events in TkInter
by Gregory Key Feb. 2, 2017

Feb. 2, 2017

I am running Python 3.5.2 and MatPlotLib 2.0.0 on Ubuntu 16.10. I am developing a program that uses matplotlib embedded in tkinter to plot vibration data in a bode plot, phase and amplitude versus rotor speed. I adapted the data browser given in the matplotlib documentation as example 91.2 data_browser.py to browse the data. The browser worked but I wanted to modify it so that holding down the next or previous key would scroll through the data instead of having to continously press and release the keys. My plan was to use the key_press_event to start a timer which would call a scroll method and then use the key_release event to stop the timer and stop scrolling. I couldn't make this scheme work so I did some investigating on the key_press_event and key_release_event in tkinter. I used example 91.5 keypress_demo.py given in the matplotlib documentation but I added a key_release_event method to it. What I found was that the key events don't work the way I would expect them to work. If you press and release a key things work as expected. When a key is pressed the key_press_event fires and when it is released the key_release_event fires. If a key is pressed and held however the key_press_event fires followed immediately by a key_release_event even though the key has not been released. As long as the key is held down it will continue to fire key_press_event followed by key_release_event. Is this the way it is supposed to work? Thanks Greg Key

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Create custom Plot
by A.S. Khangura Jan. 30, 2017

Jan. 30, 2017

I want to create custom plot using Matplotlib. Here is image:https://www.dropbox.com/s/vabbluhkhwflg8k/mat.png Please let me know what kind of approach I should go for to generate such plot? -- Thanks Arshpreet Singh Python Developer Web Development/Data Science/Systems Integration Mobile: (91)987 6458 387 https://www.linkedin.com/in/arsh840 Doing what you like Freedom, Liking what you do is happiness.

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python connect points between different 3d plots
by Maurizio De Pittà Jan. 30, 2017

Jan. 30, 2017

Hi folks, is there a way akin of patches.ConnectionPatch that also work in 3D plots: namely I would like to connect points of different 3D plots. How can I do that? Cheers, M

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About 3 dimensional slices
by 豆腐 Jan. 30, 2017

Jan. 30, 2017

Hello, I want to ask the Matplotlib how to slice the 3D data. for example(matlab)： slice(x,y,z,v,xslice,yslice,zslice)

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From Python to Numpy
by Nicolas P. Rougier Jan. 30, 2017

Jan. 30, 2017

Dear all, I've just put online a (kind of) book on Numpy and more specifically about vectorization methods. It's not yet finished, has not been reviewed and it's a bit rough around the edges. But I think there are some material that can be interesting. I'm specifically happy with the boids example that show a nice combination of numpy and matplotlib strengths. Book is online at: http://www.labri.fr/perso/nrougier/from-python-to-numpy/ Sources are available at: https://github.com/rougier/from-python-to-numpy Comments/questions/fixes/ideas are of course welcome. Nicolas

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Stacked 2D plots with interconnections in Matplotlib
by Maurizio De Pittà Jan. 30, 2017

Jan. 30, 2017

Fedora 20; Python 2.7.5; Matplotlib 1.4.3 (installed by yum/pip) I need to visualize some complex multivariate datasets and the preferred way is to use a modification of parallel axis visualization, using stacked 2D plots, where each plot maps a degree of freedom/model parameter and data points belonging to the same data sets should be interconnected across different plots. I am attaching a conceptual sketch. I put emphasis that each plane should be a plot itself with its own axes with their own scales. More specifically, all plots have the same x-axis, but the y-axis represents something different. Any idea of how to implement it by matplotlib? Cheers, M

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Share second y-axis
by Florian Lindner Jan. 30, 2017

Jan. 30, 2017

Hello, I create a 2x2 grid of subplots: f, sp = plt.subplots(2, 2, sharex='col', sharey='row') sp_lin = [ sp[0][0], sp[0][1], sp[1][0], sp[1][1] ] with two y-axis each ax1 = sp_lin[i] ax1.semilogy(...) ax1.set_ylabel("RMSE") ax2 = ax1.twinx() ax2.semilogy(...) ax2.set_ylabel("Condition") ax1.set_xlabel("m") The x-axis (m) is shared just nicely, as well as the first y-axis (RMSE). But the second y-axis (Condition) is not shared. How can I make it being shared as well? 1 2 3 4 Only plots 1 and 3 have the RMSE axis on their left. I want that only plots 2 and 4 have the Condition axis on the right. Thanks! Florian

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Version issue
by Rohan Bhojannawar Jan. 29, 2017

Jan. 29, 2017

I'm using OpenCV with Ubuntu 16.04 My matplotlib is installed only in python 2.7. What do you suggest I do for me to use the same library with another version of python viz. python 3.5 installed in my system ? My .py files run if properly using matplotlib if I type python2.7 instead of python3 in terminal. Kindly suggest.

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Re: [Matplotlib-users] Plotting boundaries of segmented data
by Thomas Caswell Jan. 28, 2017

Jan. 28, 2017

You might also be interested in http://scikit-image.org/docs/dev/auto_examples/edges/plot_contours.html which may be more efficient at finding the edge. Tom On Sat, Jan 28, 2017 at 2:36 PM Peter Leitner <peter.leitner(a)uni-graz.at> wrote: > Indeed, plotting a single contour of binary data is an option I have not > considered yet. Thank you for the suggestion! For the time being I solved > the issue by looping through the arrays marking only boundary cells and > displaying the boundary as a scatter plot which worked quite well, but I > will revisit your suggestion to effortlessly display the boundary as a > contour. Many thanks again! > > Peter > > On 01/28/2017 05:45 PM, Thomas Caswell wrote: > > Please subscribe to the mailing list so you can post un-moderated ( > https://mail.python.org/mailman/listinfo/matplotlib-users ) > > I think you are looking for the contour family of methods, see > http://matplotlib.org/examples/pylab_examples/contour_demo.html > > Tom > > On Sat, Jan 28, 2017 at 10:58 AM rwleo <peter.leitner(a)uni-graz.at> wrote: > > Hello, > > I am trying to plot a 2-D array with segmentation data from a fluid flow. > The data structure is continuous which means that the segments are > connected > regions, like in the picture below: > <http://matplotlib.1069221.n5.nabble.com/file/n47655/figure.png> > I use > plt.imshow(seg, cmap="Greys") > which returns a black area on a white background. What I would like to > achieve instead is to plot only the boundary as a black curve, like when > plotting a shape with pylab setting edgecolor=black and facecolor=white. > Unfortunately, having the data in matrix format I am not sure whether this > can easily be achieved without writing a separate function that detects > whether a pixel belongs to the border or the interior. Is there an > alternative to the imshow function which does this simply by setting some > keywords? > > Secondly I would like to smoothen the boundary curve which looks quite > "rectangular" due to the coarse segmentation algorithm that has been > applied > to the fluid flow data. Can this be done with interp2d, if the segments are > not based on an analytical expression? > > Many thanks in advance! > > > > -- > View this message in context: > http://matplotlib.1069221.n5.nabble.com/Plotting-boundaries-of-segmented-da… > Sent from the matplotlib - users mailing list archive at Nabble.com. > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users(a)python.org > https://mail.python.org/mailman/listinfo/matplotlib-users > > > -- > Dr. Peter Leitner > Institute of Physics, University of Graz > Universitätsplatz 5, 8010 Graz Austria > > Mobile: +43-316-699-17-115-726 > Skype: live:p.leitner_7 > Mail: peter.leitner(a)alumni.uni-graz.at > >

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ImportError: cannot import name '_tkagg'
by jcb0026 Jan. 28, 2017

Jan. 28, 2017

Greetings, I'm trying to run a Python script that uses tkinter to create a GUI and matplotlib to display a graph onto the GUI. Our System Administrators installed Python 3.5, tkinter, and matplotlib onto a Redhat Linux 7.2 machine. Within the code of our script, to import all necessary matplotlib functions and modules, we call: from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg from matplotlib.figure import Figure import matplotlib matplotlib.use('TkAgg') However, when the script is ran, this is the result: File "ourScript.py", line 17, in <module> from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg File "/opt/rh/rh-python35/root/usr/lib64/python3.5/site-packages/matplotlib/backends/backend_tkagg.py", line 11, in <module> import matplotlib.backends.tkagg as tkagg File "/opt/rh/rh-python35/root/usr/lib64/python3.5/site-packages/matplotlib/backends/tkagg.py", line 2, in <module> from matplotlib.backends import _tkagg ImportError: cannot import name '_tkagg' After doing some research, it seems that this could be due to matplotlib being installed before tkinter. Is this likely the case? Thanks, James -- View this message in context: http://matplotlib.1069221.n5.nabble.com/ImportError-cannot-import-name-tkag… Sent from the matplotlib - users mailing list archive at Nabble.com.

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