In the new/simplified backend API, don't customize draw_if_interactive.

The customization point is not really needed (it can go into the canvas
constructor or manager.show or a few other places), but removing support
for it would be a bit tricky if not coupled with the introduction of a
new API (manager_class).  This way, we can simply say "if you want to
use the new API, then you cannot customize draw_if_interactive".

backend_template gets updated without deprecation as the point of that
backend is really to be documentation for what a backend module is;
moreover, putting a deprecation on new_figure_manager (for example)
would actually be counter-productive as pyplot would still try to call
that function (and thus emit a warning, even though the backend itself
is not deprecated).

Author: anntzer

doc/api/next_api_changes/removals/23291-AL.rst

@@ -0,0 +1,4 @@
+``backend_template.new_figure_manager``, ``backend_template.new_figure_manager_given_figure``, and ``backend_template.draw_if_interactive``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+... have been removed, as part of the introduction of the simplified backend
+API.

lib/matplotlib/backends/backend_template.py

@@ -136,14 +136,6 @@ class GraphicsContextTemplate(GraphicsContextBase):
 ########################################################################
 
 
-def draw_if_interactive():
-    """
-    For image backends - is not required.
-    For GUI backends - this should be overridden if drawing should be done in
-    interactive python mode.
-    """
-
-
 def show(*, block=None):
     """
     For image backends - is not required.
@@ -156,24 +148,6 @@ def show(*, block=None):
         pass
 
 
-def new_figure_manager(num, *args, FigureClass=Figure, **kwargs):
-    """Create a new figure manager instance."""
-    thisFig = FigureClass(*args, **kwargs)
-    return new_figure_manager_given_figure(num, thisFig)
-
-
-def new_figure_manager_given_figure(num, figure):
-    """Create a new figure manager instance for the given figure."""
-    # If a main-level app must be created, this is the usual place to do it
-    # -- see the wx and tk backends for examples (the default implementation
-    # of new_figure_manager defers to new_figure_manager_given_figure, so it
-    # also benefits from this instantiation).  Not all GUIs require explicit
-    # instantiation of a main-level app (e.g., backend_gtk3) for pylab.
-    canvas = FigureCanvasTemplate(figure)
-    manager = FigureManagerTemplate(canvas, num)
-    return manager
-
-
 class FigureManagerTemplate(FigureManagerBase):
     """
     Helper class for pyplot mode, wraps everything up into a neat bundle.
@@ -199,6 +173,9 @@ class methods button_press_event, button_release_event,
         A high-level Figure instance
     """
 
+    # The instantiated manager class.  For further customization,
+    # ``FigureManager.create_with_canvas`` can also be overridden; see the
+    # wx-based backends for an example.
     manager_class = FigureManagerTemplate
 
     def draw(self):

lib/matplotlib/pyplot.py

@@ -274,13 +274,11 @@ def switch_backend(newbackend):
                 "framework, as {!r} is currently running".format(
                     newbackend, required_framework, current_framework))
 
-    # Load the new_figure_manager(), draw_if_interactive(), and show()
-    # functions from the backend.
+    # Load the new_figure_manager() and show() functions from the backend.
 
     # Classically, backends can directly export these functions.  This should
     # keep working for backcompat.
     new_figure_manager = getattr(backend_mod, "new_figure_manager", None)
-    # draw_if_interactive = getattr(backend_mod, "draw_if_interactive", None)
     # show = getattr(backend_mod, "show", None)
     # In that classical approach, backends are implemented as modules, but
     # "inherit" default method implementations from backend_bases._Backend.
@@ -290,8 +288,9 @@ class backend_mod(matplotlib.backend_bases._Backend):
         locals().update(vars(backend_mod))
 
     # However, the newer approach for defining new_figure_manager (and, in
-    # the future, draw_if_interactive and show) is to derive them from canvas
-    # methods.  In that case, also update backend_mod accordingly.
+    # the future, show) is to derive them from canvas methods.  In that case,
+    # also update backend_mod accordingly; also, per-backend customization of
+    # draw_if_interactive is disabled.
     if new_figure_manager is None:
         def new_figure_manager_given_figure(num, figure):
             return canvas_class.new_manager(figure, num)
@@ -300,9 +299,16 @@ def new_figure_manager(num, *args, FigureClass=Figure, **kwargs):
             fig = FigureClass(*args, **kwargs)
             return new_figure_manager_given_figure(num, fig)
 
+        def draw_if_interactive():
+            if matplotlib.is_interactive():
+                manager = _pylab_helpers.Gcf.get_active()
+                if manager:
+                    manager.canvas.draw_idle()
+
         backend_mod.new_figure_manager_given_figure = \
             new_figure_manager_given_figure
         backend_mod.new_figure_manager = new_figure_manager
+        backend_mod.draw_if_interactive = draw_if_interactive
 
     _log.debug("Loaded backend %s version %s.",
                newbackend, backend_mod.backend_version)
@@ -762,9 +768,9 @@ def figure(num=None,  # autoincrement if None, else integer from 1-N
 
     Notes
     -----
-    Newly created figures will be passed to the
-    `~.backend_template.new_figure_manager` function provided by the current
-    backend, which will install a canvas and a manager on the figure.
+    Newly created figures are passed to the `~.FigureCanvasBase.new_manager`
+    method or the `new_figure_manager` function provided by the current
+    backend, which install a canvas and a manager on the figure.
 
     If you are creating many figures, make sure you explicitly call
     `.pyplot.close` on the figures you are not using, because this will

lib/matplotlib/tests/test_backend_template.py

@@ -8,16 +8,22 @@
 import matplotlib as mpl
 from matplotlib import pyplot as plt
 from matplotlib.backends import backend_template
+from matplotlib.backends.backend_template import (
+    FigureCanvasTemplate, FigureManagerTemplate)
 
 
 def test_load_template():
     mpl.use("template")
-    assert type(plt.figure().canvas) == backend_template.FigureCanvasTemplate
+    assert type(plt.figure().canvas) == FigureCanvasTemplate
 
 
-def test_new_manager(monkeypatch):
+def test_load_old_api(monkeypatch):
     mpl_test_backend = SimpleNamespace(**vars(backend_template))
-    del mpl_test_backend.new_figure_manager
+    mpl_test_backend.new_figure_manager = (
+        lambda num, *args, FigureClass=mpl.figure.Figure, **kwargs:
+        FigureManagerTemplate(
+            FigureCanvasTemplate(FigureClass(*args, **kwargs)), num))
     monkeypatch.setitem(sys.modules, "mpl_test_backend", mpl_test_backend)
     mpl.use("module://mpl_test_backend")
-    assert type(plt.figure().canvas) == backend_template.FigureCanvasTemplate
+    assert type(plt.figure().canvas) == FigureCanvasTemplate
+    plt.draw_if_interactive()