[Matplotlib-users] wxmplot 0.9.38: interactive plotting with wxPython + matplotlib

[vincent.adrien at gmail.com]

Hello Matt,

Thanks for the info :).

I do not know what core devs may think about the idea but maybe it could
be worth opening a ticket (or even a PR ;)!) for adding an entry about
wxmplot on the [third-party packages
webpage](https://matplotlib.org/thirdpartypackages/index.html).

Best,
Adrien

Le 29/08/2019 à 16:16, Matt Newville a écrit :
> Hello matplotlib users,
> 
> wxmplot 0.9.38 is now available and can be installed with `pip install
> wxmplot`.  
> Docs are at https://newville.github.io/wxmplot/ and code at
> https://github.com/newville/wxmplot/.
> 
> I suspect many people here are not aware of this module that combines
> wxPython and matplotlib.  I also think that some of you may find it very
> useful for making 2D line plots and image displays because the displays
> created are highly configurable and interactive.  
> 
> With 0.9.38, interactive plotting from the Python command line (that is,
> from a plain Python terminal or a Jupyter qtconsole, notebook, or
> Juptyerlab) can be done with:
> 
>     >>> import wxmplot.interactive as wi
>     >>> import numpy as np
>     >>> x = np.linspace(-5, 5, 101)
>     >>> wi.plot(x, np.sin(x), label='sine')
> 
> At first look, the results are similar to `pyplot.plot()` : a new Plot
> Window with the 2D Line Plot.  From this window, not only can the user
> zoom in, adjust the margins, and save an image as with the Navigation
> Toolbar, but they can also change the styling/theming, labels and
> titles, configure the legend, and so on.  They can also change the
> color, marker, linewidth, label, and style of each trace.  With the
> legend displayed, clicking on a legend label will toggle whether the
> corresponding trace is displayed.  Additional functions such as
> `wi.plot_text()`, `wi.plot_marker()`, and `wi.plot_axhline()` allow the
> user to add annotations to the 2D line plot.
> 
> For image displays, `wi.imshow(image_data)` will display a false-color
> image of data, similar to `pyplot.imshow(image_data)`, but with widgets,
> menu items, and keyboard shortcuts to allow the user to rotate, flip, or
> smooth the image, change color tables and contrast thresholds, display
> as a contour map, draw a scalebar, and show slices through the image.
> 
> The `wxmplot.interactive` module does not use a blocking `show()`
> function - the results are drawn immediately and are interactive, and
> the shell is not frozen while the plot is displayed.  This means that
> from the Python shell, the user can additional traces to an existing
> plot, replace the current plot, or draw to a second (or more) separate
> Plotting or Image Display windows.  When run with `python myscript.py`,
> a script that uses the `wxmplot.interactive` functions will show the
> displays, and these will persist (and be interactive) until closed. That
> is, the script will not finish and kill the displays until all displays
> are closed or until the script is explicitly killed with Ctrl-C.
> 
> There are some specialty displays available (see examples), but there
> are many aspects of matplotlib that have no equivalent in wxmplot. 
> Still, I invite anyone interested to try out the basic plotting and
> image display as I think some of you may find it very useful for
> exploratory data analysis.
> 
> Wxmplot 0.9.38 uses and MIT license and supports Python 2.7, 3.5, 3.6,
> and 3.7, and requires matplotlib 2.0+, wxPython 4.0.2+, numpy, and six. 
> Support for Python 2 will be dropped for the next release.  
> 
> Feedback, suggestions, and improvements are most welcome.
> Cheers,
> 
> --Matt Newville 
> 
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