Mailman 3 April 2018 - Matplotlib-users

Odp: Re: matplotlib in GTK3 - interactive window while not calling Gtk.main()
by michalwd1979 April 30, 2018

April 30, 2018

Thank You Tom, It seems that there is in fact quite a lot of changes needed to get this working. First of all I will try to fix that "pylab" issue and then look at the input hooks, but I am not sure if this is still valid for normal python (not IPython - see below). The backend is GTK3Agg - confirmed. I'm not using IPython, just normal python 2.7.14, and this was not changed, so it was only matplotlib and pygtk version change. The old code was creating a "waveform" window when requested (with the code presented before) and for input I was using readline module, the application has set of predefined commands that it executes. Now I am a bit surprised that it was working right from the begging.... (If someone want to see the code then I can post it here) By the way I thought that having a responsive plot window (in fact only zooming/moving is important) in a command line based application is a common task, but it seems that it is not. Is there any example available for gtk+readline (or any other text input module) usage? Thanks again, Michael Widlok Dnia 28 kwietnia 2018 02:46 Thomas Caswell <tcaswell(a)gmail.com> napisał(a): Michael, If you are doing custom embedding I suggest staying away from `pyplot` altogether, it maintains global state you may not want, see for example matplotlib.org matplotlib.org . For the long answer to your question, see github.com github.com (which I really need to finish and get merged). In short, to have both an interactive prompt and a window you need to have an 'input hook' installed to time-share between the GUI event loop an the prompt event loop. It sounds like you change a bunch of things at once (gtk2 -> gtk3 + matplotlib version bumps), did you also change IPython versions? If so, you will need to use their input hook mechanism explicitly (`%matplotlib gtk3` should do the trick) as they moved from readline -> ptprompt so the input hooks the GUI libraries ship no longer work. It may also be worth checking the value of `mpl.get_backend()` to make sure pyplot as not defaulted to another GUI framework (ex Qt5) and you have 2 GUI frameworks in the same process conflicting with each other! Hope that helps! Tom On Sun, Apr 22, 2018 at 4:50 PM michalwd1979 < michalwd1979(a)o2.pl > wrote: Dear Members, Recently I upgraded to from matplotlib 1.4.3 + gtk2 to matplotlib 2.2.2 + gtk3 and I have a problems with porting my old code. I'm using matplotlib in Gtk window with typical: win = Gtk.window() vbox = Gtk.Box(...) win.add(vbox) fig = pylab.figure() canvas = FigureCanvas(fig) toolbar = NavigationToolbar(canvas, fig) axis = fig.add_axes(...) vbox.pack_start(canvas,...) vbox.pack_start(toolbar,....) win.show_all() while(Gtk.events_pending()): Gtk.main_iteration() After this code I have a valid window on screen however it does not reacts on mouse clicks (zooming etc.) until calling Gtk.main_iteration() in loop or Gtk.main(). I can understand why, however it was working differently with old matplotlib and gtk2 (window was responsive all time). The rest of my code is a python "Text User Interface" application (controlled by commands typed to terminal), the window is only for showing the results (animated waveform). Now I would like to keep the application as it is, but also to have responsive matplotlib window, without calling Gtk.main(). Is it possible? If yes, then how to do this? Sorry for the long mail - I have no idea how to describe the problem shortly and all examples I found always have Gtk.main() called so they are in fact full GTK programs. I want a simple text program with matplotlib window as a "result showing" addition only. Best Regards, Michael Widlok

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ToolManager
by Juan Nunez-Iglesias April 28, 2018

April 28, 2018

Hi, I’m trying to add elements to the matplotlib toolbar *using the Qt5 backend*. I tried running this example code: https://matplotlib.org/examples/user_interfaces/toolmanager.html But unfortunately it fails when using Qt5 with the error fig.canvas.manager.toolmanager.add_tool('List', ListTools) AttributeError: 'FigureManagerQT' object has no attribute ‘toolmanager' Is toolmanager only available for GTK? Is there an equivalent way of achieving what the script is doing in other backends? Thanks, Juan.

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matplotlib in GTK3 - interactive window while not calling Gtk.main()
by michalwd1979 April 28, 2018

April 28, 2018

Dear Members, Recently I upgraded to from matplotlib 1.4.3 + gtk2 to matplotlib 2.2.2 + gtk3 and I have a problems with porting my old code. I'm using matplotlib in Gtk window with typical: win = Gtk.window() vbox = Gtk.Box(...) win.add(vbox) fig = pylab.figure() canvas = FigureCanvas(fig) toolbar = NavigationToolbar(canvas, fig) axis = fig.add_axes(...) vbox.pack_start(canvas,...) vbox.pack_start(toolbar,....) win.show_all() while(Gtk.events_pending()): Gtk.main_iteration() After this code I have a valid window on screen however it does not reacts on mouse clicks (zooming etc.) until calling Gtk.main_iteration() in loop or Gtk.main(). I can understand why, however it was working differently with old matplotlib and gtk2 (window was responsive all time). The rest of my code is a python "Text User Interface" application (controlled by commands typed to terminal), the window is only for showing the results (animated waveform). Now I would like to keep the application as it is, but also to have responsive matplotlib window, without calling Gtk.main(). Is it possible? If yes, then how to do this? Sorry for the long mail - I have no idea how to describe the problem shortly and all examples I found always have Gtk.main() called so they are in fact full GTK programs. I want a simple text program with matplotlib window as a "result showing" addition only. Best Regards, Michael Widlok

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double tick labels (bottom and top, but with different labels)
by Pierre Haessig April 26, 2018

April 26, 2018

Hello, I'd like to know if it's possible to get a sort of double tick labeling (e.g. bottom and top), but with different labels. One way to think of my use case is that there are two different units for the x data (or more precisely in my case, I've two different x quantities which are bound by a linear relationship). The result I'd like is the right part of the attached image (it's a Gimp-edited mockup composition of the two actual plots on the left). I've tried to play with the double labeling of a single axe. Indeed, the following two calls put the double labeling ax1.xaxis.set_ticks_position('both') ax1.xaxis.set_tick_params(labeltop=True) However, when I want to alter only the top labels using for tick, l in zip(ax1.xaxis.get_major_ticks(), l2): tick.set_label2(l) I get no visible change on the plot. (full script attached). Did I need to call some update ? Did I miss something with the proper way to call Tick.set_label2? Looking at the source code of ax1.xaxis.set_ticklabels, there is something I don't get. First it sets a FixedFormatter(ticklabels), and then it sets label1 and/or label2 for each Tick object. So in the end, where is the text coming from? Also, to complement the second series of tick labels, I'd like a second axis label as well. However, I only know ax.xaxis.set_label_position('top') to move xlabel to the top, not to get a 2nd one... As an alternative approach, I see twinx. I didn't try it yet, because I feel like my objective is not of the objective of twinx (e.g. I'm plotting only a single dataset, not two). However, I suspect it's possible to 'bend" twinx to get what I want. What do you think. Thank you in advance for your ideas. Best, Pierre

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2018 John Hunter Excellence in Plotting Contest
by Michael Droettboom April 26, 2018

April 26, 2018

In memory of John Hunter, we are pleased to be reviving the SciPy John Hunter Excellence in Plotting Competition for 2018. This open competition aims to highlight the importance of data visualization to scientific progress and showcase the capabilities of open source software. Participants are invited to submit scientific plots to be judged by a panel. The winning entries will be announced and displayed at the conference. John Hunter’s family and NumFocus are graciously sponsoring cash prizes for the winners in the following amounts: - 1st prize: $1000 - 2nd prize: $750 - 3rd prize: $500 - Entries must be submitted by June, 8th to the form at https://goo.gl/forms/7q86zgu5OYUOjODH3. - Winners will be announced at Scipy 2018 in Austin, TX. - Participants do not need to attend the Scipy conference. - Entries may take the definition of “visualization” rather broadly. Entries may be, for example, a traditional printed plot, an interactive visualization for the web, or an animation. - Source code for the plot must be provided, in the form of Python code and/or a Jupyter notebook, along with a rendering of the plot in a widely used format. This may be, for example, PDF for print, standalone HTML and Javascript for an interactive plot, or MPEG-4 for a video. If the original data can not be shared for reasons of size or licensing, "fake" data may be substituted, along with an image of the plot using real data. - Each entry must include a 300-500 word abstract describing the plot and its importance for a general scientific audience. - Entries will be judged on their clarity, innovation and aesthetics, but most importantly for their effectiveness in communicating a real-world problem. Entrants are encouraged to submit plots that were used during the course of research or work, rather than merely being hypothetical. - SciPy reserves the right to display any and all entries, whether prize-winning or not, at the conference, use in any materials or on its website, with attribution to the original author(s). SciPy John Hunter Excellence in Plotting Competition Co-Chairs Thomas Caswell Michael Droettboom Nelle Varoquaux

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automatic list of r'$2$'...
by Vincent Douce Mathoscope April 20, 2018

April 20, 2018

hi i try this : ''' Lx,x,Ly,y=[],xmin,[],ymin Lrx,Lry=[],[] while (x<=xmax): Lx.append(x) Lrx.append("$".join(["r'",str(x),"'"])) x+=1 while (y<=ymax): Ly.append(y) y+=1 ''' but it creates a Lrx list like this : ["r'$-2.5$'", "r'$-1.5$'", "r'$-0.5$'", "r'$0.5$'", "r'$1.5$'", "r'$2.5$'"] and i want to obtain [r'$-2.5$', r'$-1.5$', r'$-0.5$', r'$0.5$', r'$1.5$', r'$2.5$'] i guess that r is an operator to deal with the $..$ expressions but not understand how to fix my definition thanks for your help Vincent –––––––––––––––––––––––––– Vincent Douce :=: Mathoscope :=: http://mathoscope.xyz <http://mathoscope.xyz/> 06°13°11°07°26 Bagnères de Bigorre 65200

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Callback mechanism for animation completed?
by Paul Deitel April 20, 2018

April 20, 2018

I am trying to chain together a series of animations. Is there a callback mechanism of some sort that could be used to launch a new animation when another animation completes?

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Zooming in on Image data plotted using matplotlib
by Sab VS April 18, 2018

April 18, 2018

Hi, I am trying to oom in on the image data plotted in 2 subplots using matplotlib. However, the zooming in needs to take into consideration both the images which are being displayed in the subplot. If I have 2 images on the subplot, I can click any one of these images. I then get the x and y coordinates. But I am not sure how to open a new window with the clicked coordinates and 5 or 10 pixels around the clicked coordinates and display it in a new window. Could someone please help me out?

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Axes array for subplots
by Virgil Stokes April 17, 2018

April 17, 2018

The following line is part of a much larger python (3.6) with Matplotlib (2.2.2) program in which the number of subplots is determined from input data: fig, axarr = plt.subplots(NSub, figsize=(width,height), sharex=True) This works fine when the number of subplots (NSub) is greater than 1. For example when NSub=3, axarr is an array of length 3 and contains: array([<matplotlib.axes._subplots.AxesSubplot object at 0x0000025900E9DDD8>, <matplotlib.axes._subplots.AxesSubplot object at 0x00000259011897F0>, <matplotlib.axes._subplots.AxesSubplot object at 0x00000259011C7128>], dtype=object) However, when NSub=1, axarr contains: <matplotlib.axes._subplots.AxesSubplot object at 0x00000161AB26AE80> and of course, will give an error if axarr is an array; i.e. builtins.TypeError: 'AxesSubplot' object does not support indexing For my code this requires special handling because axarr is no longer an array. Why not have axarr contain: array([<matplotlib.axes._subplots.AxesSubplot object at 0x00000161AB26AE80>],dtype=object) when NSub=1. IMHO this is consistent; i.e. it is an array with a length that is equal to the number of subplots.

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Re: [Matplotlib-users] Axes array for subplots
by Slavin, Jonathan April 17, 2018

April 17, 2018

Virgil, What is ax in your example? When I do fig,axarr = plt.subplots(1,squeeze=False,sharex=True) I get axarr is an array of shape (1,1). An array does not have an attribute grid. Jon > > Date: Tue, 17 Apr 2018 17:14:28 +0200 > From: Virgil Stokes <vs(a)it.uu.se> > To: Benjamin Root <ben.v.root(a)gmail.com>, > <matplotlib-users(a)python.org> > Subject: Re: [Matplotlib-users] Axes array for subplots > Message-ID: <951bcfd1-e953-17e3-9350-caec6231ab00(a)it.uu.se> > Content-Type: text/plain; charset="utf-8"; Format="flowed" > > Ok Ben, > > I tried the following per your suggestion: > > fig, axarr = plt.subplots(NSub, figsize=(width,height), squeeze=False, > sharex=True) > > but when the following is executed: > > ? ax.grid(True) > > I get the following error message: > ? builtins.AttributeError: 'numpy.ndarray' object has no attribute 'grid' > > But, thanks for your help :-). > > > On 2018-04-17 16:30, Benjamin Root wrote: > > By default, `squeeze` is called on the array prior to returning it. > > This way, users don't need to deal with 2D arrays when most of the > > time, they are dealing with 1D setups. You can specify squeeze=False > > to subplots to turn this behavior off and always have a 2D array. > > > > I hope that helps! > > Ben Root > > > > > > On Tue, Apr 17, 2018 at 10:12 AM, Virgil Stokes <vs(a)it.uu.se > > <mailto:vs@it.uu.se>> wrote: > > > > The following line is part of a much larger python (3.6) with > > Matplotlib (2.2.2) program in which the number of subplots is > > determined from input data: > > > > fig, axarr = plt.subplots(NSub, figsize=(width,height), sharex=True) > > > > This works fine when the number of subplots (NSub) is greater than > > 1. For example when NSub=3, axarr is an array of length 3 and > > contains: > > > > array([<matplotlib.axes._subplots.AxesSubplot object at > > 0x0000025900E9DDD8>, > > ???????? <matplotlib.axes._subplots.AxesSubplot object at > > 0x00000259011897F0>, > > ???????? <matplotlib.axes._subplots.AxesSubplot object at > > 0x00000259011C7128>], > > ??????? dtype=object) > > > > However, when NSub=1, axarr contains: > > > > <matplotlib.axes._subplots.AxesSubplot object at 0x00000161AB26AE80> > > > > and of course, will give an error if axarr is an array; i.e. > > > > builtins.TypeError: 'AxesSubplot' object does not support indexing > > > > For my code this requires special handling because axarr is no > > longer an array. Why not have axarr contain: > > > > array([<matplotlib.axes._subplots.AxesSubplot object at > > 0x00000161AB26AE80>],dtype=object) > > > > when NSub=1. IMHO this is consistent; i.e. it is an array with a > > length that is equal to the number of subplots. > > > > _______________________________________________ > > Matplotlib-users mailing list > > Matplotlib-users(a)python.org <mailto:Matplotlib-users@python.org> > > https://mail.python.org/mailman/listinfo/matplotlib-users > > <https://mail.python.org/mailman/listinfo/matplotlib-users> > > > > > >

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