mpl 2.0.0 vs 2.0.1 line style with wx-backend #8637

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1. WeatherGod commented on May 17, 2017

   

   WeatherGod

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   I don't think this has anything to do with the wx backend. One of the style changes for v2.0.0 had to do with scaling the line style patterns, however, there was a bug in how it was implemented and that was fixed for v2.0.1, IIRC. As a side note, I notice that this new linestyle scaling feature isn't mentioned in the "what's new" docs.

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   On Wed, May 17, 2017 at 3:38 PM, edge-python ***@***.***> wrote: I have taken the base code from: https://matplotlib.org/examples/user_interfaces/embedding_in_wx4.html user_interfaces example code: embedding_in_wx4.py I have added: import matplotlib.widgets # .Cursor and in class CanvasFrame: self.lineprops = dict(linewidth=0.5, linestyle='-.', color='grey', alpha=1) self.line_cursor = matplotlib.widgets.Cursor(self.axes, **self.lineprops) RESULT: the line style in 2.0.1 (and 2.0.2) is very different to 2.0.0 I want the style of 2.0.0 What is the reason? Thank you [image: 2 0 0 vs 2 0 1] <https://cloud.githubusercontent.com/assets/4279914/26172443/c793c162-3b48-11e7-9740-ba0cb494475c.gif> - Operating System: Win 10 64bit - Matplotlib Version: 2.0.0 vs 2.0.1 (and 2.0.2) - Python Version: 3.6.1 - Other Libraries: wx 4.0.0a1 — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#8637>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AARy-JPUdbqI1WV_5k5ycfy_jSHA7Oyzks5r60y7gaJpZM4NeWAA> .
2. QuLogic commented on May 17, 2017

   

   QuLogic

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   It's in API changes; this is not a bug, but a correction of less-desired behaviour. The line width is now actually consistent with the width you requested.
3. QuLogic

   closed this as completedon May 17, 2017
4. edge-python commented on May 18, 2017

   

   edge-python

   on May 18, 2017

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   Thank you for your answer.
   but,
   these are not good news for me.
5. WeatherGod commented on May 18, 2017

   

   WeatherGod

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   Actually, you might be able to get what you want... maybe. There is an rcParam, 'lines.scale_dashes'. Try setting that to False. The (corrected) old behavior was to clip the scaling of the dashes at around 0.5, IIRC, so you *might* be able to get the old behavior (or something close to it, perhaps?).

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   On Thu, May 18, 2017 at 11:34 AM, edge-python ***@***.***> wrote: Thank you for your answer. but, these are not good news for me. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#8637 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AARy-GC0HMicQ4PgCrhKDxjFRXl6tRD8ks5r7GUAgaJpZM4NeWAA> .
6. edge-python commented on May 18, 2017

   

   edge-python

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   oh, you are so fast
   I will try it

   Please allow me a statement:
   In mpl 2.0.0 very thin and sharp lines for the V and H lines are available for the cursor. But not so in mpl 2.0.1. This is a step back. I would appreciate it if the developers rethink that.
   Thank you
7. afvincent commented on May 18, 2017

   

   afvincent

   on May 18, 2017

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   The API change is due to #8032 (the relevant commit is 276e1e9). Basically the former scaling scheme was dashes = unscaled_dashes * max(2, linewidth).

   In your case, what about something like

   import numpy as np
   import matplotlib.pyplot as plt
   from matplotlib.widgets import Cursor
   
   # Manually rescale the desired dash pattern
   # NB: plt.rcParams['lines.dashdot_pattern'] = [6.4, 1.6, 1.0, 1.6] but
   # one could simply define our own on-off ink sequence (in points)
   my_dashdot = [2.0*val for val in plt.rcParams['lines.dashdot_pattern']]
   cursor_props = dict(linewidth=0.5, dashes=my_dashdot, color='#660099')
   
   plt.close('all')
   fig, ax = plt.subplots()
   
   t = np.arange(0.0, 3.0, 0.01)
   s = np.sin(2*np.pi*t)
   ax.plot(t, s)
   
   line_cursor = Cursor(ax, **cursor_props)
   
   plt.show()

   

   Edit: English…
8. edge-python commented on May 18, 2017

   

   edge-python

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   Thank you for the example.
   It looks better.
   I still need to figure out how to do it for matplotlib.figure
   ...
   I replaced plt.rcParams with matplotlib.rcParams and it seems to work.
   I hope I'm on the right track.

   many thanks for the support
9. afvincent commented on May 18, 2017

   

   afvincent

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   I am pretty sure matplotlib.pyplot.rcParams is simply a convenient shortcut for matplotlib.rcParams.

   BTW, using the dash-dot pattern from rcParams was just a mean of showing that you could manually scale one of the default patterns. But you could also perfectly use your own dash sequence if you are not satisfied with it. See the Line2D docstring for a comprehensive description of the API, or simply this example to get a quick glance at the syntax. In a nutshell, a dash style is an even-length sequence of on/off ink (in points).

   PS: a similar way to customize the dashes may be to define a custom line style, which can be seen as a custom dash style prepended with an “offset” (usually set to zero...), following the pattern (offset, on-off-dash-seq). See for example here.
10. edge-python commented on May 18, 2017

    

    edge-python

    on May 18, 2017

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    Thanks for your help, I'm not a professional developer even though I've created a complex Matplotlib application
    I'm glad to have the right cursor lines again

    
    ANT-fit plot

    🎉React with 🎉1Reacted by Adrien F. Vincent
11. afvincent commented on May 18, 2017

    

    afvincent

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    That's a nice looking application :).