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Python

"""
This is a fully functional do nothing backend to provide a template to backend
writers. It is fully functional in that you can select it as a backend e.g.
with ::
import matplotlib
matplotlib.use("template")
and your program will (should!) run without error, though no output is
produced. This provides a starting point for backend writers; you can
selectively implement drawing methods (`draw_path`, `draw_image`, etc.) and
slowly see your figure come to life instead having to have a full blown
implementation before getting any results.
Copy this file to a directory outside of the Matplotlib source tree, somewhere
where Python can import it (by adding the directory to your ``sys.path`` or by
packaging it as a normal Python package); if the backend is importable as
``import my.backend`` you can then select it using ::
import matplotlib
matplotlib.use("module://my.backend")
If your backend implements support for saving figures (i.e. has a `print_xyz`
method), you can register it as the default handler for a given file type::
from matplotlib.backend_bases import register_backend
register_backend('xyz', 'my_backend', 'XYZ File Format')
...
plt.savefig("figure.xyz")
"""
from matplotlib._pylab_helpers import Gcf
from matplotlib.backend_bases import (
FigureCanvasBase, FigureManagerBase, GraphicsContextBase, RendererBase)
from matplotlib.figure import Figure
class RendererTemplate(RendererBase):
"""
The renderer handles drawing/rendering operations.
This is a minimal do-nothing class that can be used to get started when
writing a new backend. Refer to `backend_bases.RendererBase` for
documentation of the methods.
"""
def __init__(self, dpi):
super().__init__()
self.dpi = dpi
def draw_path(self, gc, path, transform, rgbFace=None):
pass
# draw_markers is optional, and we get more correct relative
# timings by leaving it out. backend implementers concerned with
# performance will probably want to implement it
# def draw_markers(self, gc, marker_path, marker_trans, path, trans,
# rgbFace=None):
# pass
# draw_path_collection is optional, and we get more correct
# relative timings by leaving it out. backend implementers concerned with
# performance will probably want to implement it
# def draw_path_collection(self, gc, master_transform, paths,
# all_transforms, offsets, offsetTrans,
# facecolors, edgecolors, linewidths, linestyles,
# antialiaseds):
# pass
# draw_quad_mesh is optional, and we get more correct
# relative timings by leaving it out. backend implementers concerned with
# performance will probably want to implement it
# def draw_quad_mesh(self, gc, master_transform, meshWidth, meshHeight,
# coordinates, offsets, offsetTrans, facecolors,
# antialiased, edgecolors):
# pass
def draw_image(self, gc, x, y, im):
pass
def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
pass
def flipy(self):
# docstring inherited
return True
def get_canvas_width_height(self):
# docstring inherited
return 100, 100
def get_text_width_height_descent(self, s, prop, ismath):
return 1, 1, 1
def new_gc(self):
# docstring inherited
return GraphicsContextTemplate()
def points_to_pixels(self, points):
# if backend doesn't have dpi, e.g., postscript or svg
return points
# elif backend assumes a value for pixels_per_inch
#return points/72.0 * self.dpi.get() * pixels_per_inch/72.0
# else
#return points/72.0 * self.dpi.get()
class GraphicsContextTemplate(GraphicsContextBase):
"""
The graphics context provides the color, line styles, etc... See the cairo
and postscript backends for examples of mapping the graphics context
attributes (cap styles, join styles, line widths, colors) to a particular
backend. In cairo this is done by wrapping a cairo.Context object and
forwarding the appropriate calls to it using a dictionary mapping styles
to gdk constants. In Postscript, all the work is done by the renderer,
mapping line styles to postscript calls.
If it's more appropriate to do the mapping at the renderer level (as in
the postscript backend), you don't need to override any of the GC methods.
If it's more appropriate to wrap an instance (as in the cairo backend) and
do the mapping here, you'll need to override several of the setter
methods.
The base GraphicsContext stores colors as a RGB tuple on the unit
interval, e.g., (0.5, 0.0, 1.0). You may need to map this to colors
appropriate for your backend.
"""
########################################################################
#
# The following functions and classes are for pyplot and implement
# window/figure managers, etc...
#
########################################################################
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.
For GUI backends - show() is usually the last line of a pyplot script and
tells the backend that it is time to draw. In interactive mode, this
should do nothing.
"""
for manager in Gcf.get_all_fig_managers():
# do something to display the GUI
pass
def new_figure_manager(num, *args, FigureClass=Figure, **kwargs):
"""Create a new figure manager instance."""
# If a main-level app must be created, this (and
# new_figure_manager_given_figure) is the usual place to do it -- see
# backend_wx, backend_wxagg and backend_tkagg for examples. Not all GUIs
# require explicit instantiation of a main-level app (e.g., backend_gtk3)
# for pylab.
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."""
canvas = FigureCanvasTemplate(figure)
manager = FigureManagerTemplate(canvas, num)
return manager
class FigureCanvasTemplate(FigureCanvasBase):
"""
The canvas the figure renders into. Calls the draw and print fig
methods, creates the renderers, etc.
Note: GUI templates will want to connect events for button presses,
mouse movements and key presses to functions that call the base
class methods button_press_event, button_release_event,
motion_notify_event, key_press_event, and key_release_event. See the
implementations of the interactive backends for examples.
Attributes
----------
figure : `matplotlib.figure.Figure`
A high-level Figure instance
"""
def draw(self):
"""Draw the figure using the renderer."""
renderer = RendererTemplate(self.figure.dpi)
self.figure.draw(renderer)
# You should provide a print_xxx function for every file format
# you can write.
# If the file type is not in the base set of filetypes,
# you should add it to the class-scope filetypes dictionary as follows:
filetypes = FigureCanvasBase.filetypes.copy()
filetypes['foo'] = 'My magic Foo format'
def print_foo(self, filename, *args, **kwargs):
"""
Write out format foo. The dpi, facecolor and edgecolor are restored
to their original values after this call, so you don't need to
save and restore them.
"""
def get_default_filetype(self):
return 'foo'
class FigureManagerTemplate(FigureManagerBase):
"""
Helper class for pyplot mode, wraps everything up into a neat bundle.
For non-interactive backends, the base class is sufficient.
"""
########################################################################
#
# Now just provide the standard names that backend.__init__ is expecting
#
########################################################################
FigureCanvas = FigureCanvasTemplate
FigureManager = FigureManagerTemplate