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Merge pull request #12554 from anntzer/template
backend_template docs and fixes
2 parents 32a111b + 23f2c3b commit 26290b0

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‎doc/api/backend_template_api.rst

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:mod:`matplotlib.backends.backend_template`
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===========================================
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.. automodule:: matplotlib.backends.backend_template
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:members:
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:undoc-members:
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:show-inheritance:

‎doc/api/index_backend_api.rst

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:maxdepth: 1
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backend_mixed_api.rst
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backend_template_api.rst
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backend_agg_api.rst
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backend_cairo_api.rst
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backend_gtk3agg_api.rst

‎lib/matplotlib/backend_bases.py

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@@ -567,9 +567,10 @@ def _get_text_path_transform(self, x, y, s, prop, angle, ismath):
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path = Path(verts, codes)
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angle = np.deg2rad(angle)
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if self.flipy():
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width, height = self.get_canvas_width_height()
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transform = Affine2D().scale(fontsize / text2path.FONT_SCALE,
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fontsize / text2path.FONT_SCALE)
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transform = transform.rotate(angle).translate(x, self.height - y)
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transform = transform.rotate(angle).translate(x, height - y)
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else:
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transform = Affine2D().scale(fontsize / text2path.FONT_SCALE,
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fontsize / text2path.FONT_SCALE)
@@ -2461,7 +2462,7 @@ class NonGuiException(Exception):
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class FigureManagerBase:
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"""
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Helper class for pyplot mode, wraps everything up into a neat bundle
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Helper class for pyplot mode, wraps everything up into a neat bundle.
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Attributes
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----------

‎lib/matplotlib/backends/backend_template.py

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"""
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This is a fully functional do nothing backend to provide a template to
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backend writers. It is fully functional in that you can select it as
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a backend with
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import matplotlib
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matplotlib.use('Template')
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and your matplotlib scripts will (should!) run without error, though
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no output is produced. This provides a nice starting point for
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backend writers because you can selectively implement methods
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(draw_rectangle, draw_lines, etc...) and slowly see your figure come
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to life w/o having to have a full blown implementation before getting
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any results.
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Copy this to backend_xxx.py and replace all instances of 'template'
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with 'xxx'. Then implement the class methods and functions below, and
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add 'xxx' to the switchyard in matplotlib/backends/__init__.py and
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'xxx' to the backends list in the validate_backend method in
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matplotlib/__init__.py and you're off. You can use your backend with::
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import matplotlib
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matplotlib.use('xxx')
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import matplotlib.pyplot as plt
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plt.plot([1,2,3])
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plt.show()
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matplotlib also supports external backends, so you can place you can
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use any module in your PYTHONPATH with the syntax::
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import matplotlib
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matplotlib.use('module://my_backend')
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where my_backend.py is your module name. This syntax is also
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recognized in the rc file and in the -d argument in pylab, e.g.,::
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python simple_plot.py -dmodule://my_backend
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If your backend implements support for saving figures (i.e. has a print_xyz()
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method) you can register it as the default handler for a given file type
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from matplotlib.backend_bases import register_backend
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register_backend('xyz', 'my_backend', 'XYZ File Format')
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...
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plt.savefig("figure.xyz")
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The files that are most relevant to backend_writers are
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matplotlib/backends/backend_your_backend.py
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matplotlib/backend_bases.py
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matplotlib/backends/__init__.py
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matplotlib/__init__.py
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matplotlib/_pylab_helpers.py
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Naming Conventions
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* classes Upper or MixedUpperCase
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* variables lower or lowerUpper
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* functions lower or underscore_separated
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This is a fully functional do nothing backend to provide a template to backend
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writers. It is fully functional in that you can select it as a backend e.g.
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with ::
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import matplotlib
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matplotlib.use("template")
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and your program will (should!) run without error, though no output is
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produced. This provides a starting point for backend writers; you can
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selectively implement drawing methods (`draw_path`, `draw_image`, etc.) and
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slowly see your figure come to life instead having to have a full blown F438
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implementation before getting any results.
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Copy this file to a directory outside of the Matplotlib source tree, somewhere
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where Python can import it (by adding the directory to your ``sys.path`` or by
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packaging it as a normal Python package); if the backend is importable as
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``import my.backend`` you can then select it using ::
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import matplotlib
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matplotlib.use("module://my.backend")
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If your backend implements support for saving figures (i.e. has a `print_xyz`
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method), you can register it as the default handler for a given file type::
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from matplotlib.backend_bases import register_backend
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register_backend('xyz', 'my_backend', 'XYZ File Format')
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...
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plt.savefig("figure.xyz")
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"""
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from matplotlib._pylab_helpers import Gcf
@@ -73,10 +40,12 @@ class RendererTemplate(RendererBase):
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The renderer handles drawing/rendering operations.
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This is a minimal do-nothing class that can be used to get started when
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writing a new backend. Refer to backend_bases.RendererBase for
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documentation of the classes methods.
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writing a new backend. Refer to `backend_bases.RendererBase` for
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documentation of the methods.
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"""
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def __init__(self, dpi):
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super().__init__()
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self.dpi = dpi
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def draw_path(self, gc, path, transform, rgbFace=None):
@@ -160,11 +129,12 @@ class GraphicsContextTemplate(GraphicsContextBase):
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########################################################################
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#
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# The following functions and classes are for pylab and implement
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# The following functions and classes are for pyplot and implement
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# window/figure managers, etc...
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#
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########################################################################
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def draw_if_interactive():
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"""
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For image backends - is not required.
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def new_figure_manager(num, *args, FigureClass=Figure, **kwargs):
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"""
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Create a new figure manager instance
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"""
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"""Create a new figure manager instance."""
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# If a main-level app must be created, this (and
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# new_figure_manager_given_figure) is the usual place to do it -- see
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# backend_wx, backend_wxagg and backend_tkagg for examples. Not all GUIs
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def new_figure_manager_given_figure(num, figure):
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"""
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Create a new figure manager instance for the given figure.
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"""
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"""Create a new figure manager instance for the given figure."""
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canvas = FigureCanvasTemplate(figure)
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manager = FigureManagerTemplate(canvas, num)
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return manager
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"""
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def draw(self):
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"""
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Draw the figure using the renderer
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"""
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"""Draw the figure using the renderer."""
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renderer = RendererTemplate(self.figure.dpi)
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self.figure.draw(renderer)
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to their original values after this call, so you don't need to
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save and restore them.
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"""
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pass
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def get_default_filetype(self):
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return 'foo'
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class FigureManagerTemplate(FigureManagerBase):
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"""
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Wrap everything up into a window for the pylab interface
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Helper class for pyplot mode, wraps everything up into a neat bundle.
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For non interactive backends, the base class does all the work
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For non-interactive backends, the base class is sufficient.
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"""
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pass
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########################################################################
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#

‎lib/matplotlib/patheffects.py

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@@ -93,10 +93,6 @@ def __init__(self, path_effects, renderer):
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self._path_effects = path_effects
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self._renderer = renderer
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def new_gc(self):
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# docstring inherited
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return self._renderer.new_gc()
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def copy_with_path_effect(self, path_effects):
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return self.__class__(path_effects, self._renderer)
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@@ -143,10 +139,6 @@ def draw_path_collection(self, gc, master_transform, paths, *args,
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renderer.draw_path_collection(gc, master_transform, paths,
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*args, **kwargs)
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def points_to_pixels(self, points):
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# docstring inherited
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return self._renderer.points_to_pixels(points)
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def _draw_text_as_path(self, gc, x, y, s, prop, angle, ismath):
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# Implements the naive text drawing as is found in RendererBase.
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path, transform = self._get_text_path_transform(x, y, s, prop,
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self.draw_path(gc, path, transform, rgbFace=color)
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def __getattribute__(self, name):
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if name in ['_text2path', 'flipy', 'height', 'width']:
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if name in ['flipy', 'get_canvas_width_height', 'new_gc',
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'points_to_pixels', '_text2path', 'height', 'width']:
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return getattr(self._renderer, name)
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else:
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return object.__getattribute__(self, name)

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