MEP27: Decouple pyplot from backends#

Status#

Progress

Branches and Pull requests#

Main PR (including GTK3):

Backend specific branch diffs:

Abstract#

This MEP refactors the backends to give a more structured andconsistent API, removing generic code and consolidate existing code.To do this we propose splitting:

  1. FigureManagerBase and its derived classes into the corefunctionality classFigureManager and a backend specific classWindowBase and

  2. ShowBase and its derived classes intoGcf.show_all andMainLoopBase.

Detailed description#

This MEP aims to consolidate the backends API into one single uniformAPI, removing generic code out of the backend (which includes_pylab_helpers andGcf), and push code to a more appropriatelevel in matplotlib. With this we automatically removeinconsistencies that appear in the backends, such asFigureManagerBase.resize(w,h) which sometimes sets the canvas,and other times set the entire window to the dimensions given,depending on the backend.

Two main places for generic code appear in the classes derived fromFigureManagerBase andShowBase.

  1. FigureManagerBase hasthree jobs at the moment:

    1. The documentation describes it as aHelper class for pyplotmode, wraps everything up into a neat bundle

    2. But it doesn't just wrap the canvas and toolbar, it also doesall of the windowing tasks itself. The conflation of these twotasks gets seen the best in the following line:self.set_window_title("Figure%d"%num) This combinesbackend specific codeself.set_window_title(title) withmatplotlib generic codetitle="Figure%d"%num.

    3. Currently the backend specific subclass ofFigureManagerdecides when to end the mainloop. This also seems very wrongas the figure should have no control over the other figures.

  2. ShowBase has two jobs:

    1. It has the job of going through all figure managers registeredin_pylab_helpers.Gcf and telling them to show themselves.

    2. And secondly it has the job of performing the backend specificmainloop to block the main programme and thus keep thefigures from dying.

Implementation#

The description of this MEP gives us most of the solution:

  1. To remove the windowing aspect out ofFigureManagerBase lettingit simply wrap this new class along with the other backend classes.Create a newWindowBase class that can handle thisfunctionality, with pass-through methods (:arrow_right:) toWindowBase. Classes that subclassWindowBase should alsosubclass the GUI specific window class to ensure backwardcompatibility (manager.window==manager.window).

  2. Refactor the mainloop ofShowBase intoMainLoopBase, whichencapsulates the end of the loop as well. We give an instance ofMainLoop toFigureManager as a key unlock the exit method(requiring all keys returned before the loop can die). Note thisopens the possibility for multiple backends to run concurrently.

  3. Now thatFigureManagerBase has no backend specifics in it, torename it toFigureManager, and move to a new filebackend_managers.py noting that:

    1. This allows us to break up the conversion of backends intoseparate PRs as we can keep the existingFigureManagerBaseclass and its dependencies intact.

    2. And this also anticipates MEP22 where the newNavigationBase has morphed into a backend independentToolManager.

FigureManagerBase(canvas, num)

FigureManager(figure, num)

WindowBase(title)

Notes

show

show

destroy

calls destroy on allcomponents

destroy

full_screen_toggle

handles logic

set_fullscreen

resize

resize

key_press

key_press

get_window_title

get_window_title

set_window_title

set_window_title

_get_toolbar

A common method to allsubclasses of FigureManagerBase

set_default_size

add_element_to_window

ShowBase

MainLoopBase

Notes

mainloop

begin

end

Gets calledautomagicallywhen no moreinstances ofthe subclassexist

__call__

Method movedtoGcf.show_all

Future compatibility#

As eluded to above when discussing MEP 22, this refactor makes it easyto add in new generic features. At the moment, MEP 22 has to makeugly hacks to each class extending fromFigureManagerBase. Withthis code, this only needs to get made in the singleFigureManagerclass. This also makes the later deprecation ofNavigationToolbar2 very straightforward, only needing to touch thesingleFigureManager class

MEP 23 makes for another use case where this refactored code will comein very handy.

Backward compatibility#

As we leave all backend code intact, only adding missing methods toexisting classes, this should work seamlessly for all use cases. Theonly difference will lie for backends that usedFigureManager.resize to resize the canvas and not the window, dueto the standardisation of the API.

I would envision that the classes made obsolete by this refactor getdeprecated and removed on the same timetable asNavigationToolbar2, also note that the change in call signature totheFigureCanvasWx constructor, while backward compatible, I thinkthe old (imho ugly style) signature should get deprecated and removedin the same manner as everything else.

backend

manager.resize(w,h)

Extra

gtk3

window

Tk

canvas

Qt

window

Wx

canvas

FigureManagerWx hadframe as an alias towindow, so this alsobreaks BC.

Alternatives#

If there were any alternative solutions to solving the same problem,they should be discussed here, along with a justification for thechosen approach.

Questions#

Mdehoon: Can you elaborate on how to run multiple backendsconcurrently?

OceanWolf: @mdehoon, as I say, not for this MEP, but I see this MEPopens it up as a future possibility. Basically theMainLoopBaseclass acts a per backend Gcf, in this MEP it tracks the number offigures open per backend, and manages the mainloops for thosebackends. It closes the backend specific mainloop when it detectsthat no figures remain open for that backend. Because of this Iimagine that with only a small amount of tweaking that we can dofull-multi-backend matplotlib. No idea yet why one would want to, butI leave the possibility there in MainLoopBase. With all thebackend-code specifics refactored out ofFigureManager also aidsin this, one manager to rule them (the backends) all.

Mdehoon: @OceanWolf, OK, thanks for the explanation. Having a uniformAPI for the backends is very important for the maintainability ofmatplotlib. I think this MEP is a step in the right direction.