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Pracownia_programowania/venv/Lib/site-packages/matplotlib/backend_bases.py

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2020-02-01 19:54:00 +01:00
"""
Abstract base classes define the primitives that renderers and
graphics contexts must implement to serve as a matplotlib backend
:class:`RendererBase`
An abstract base class to handle drawing/rendering operations.
:class:`FigureCanvasBase`
The abstraction layer that separates the
:class:`matplotlib.figure.Figure` from the backend specific
details like a user interface drawing area
:class:`GraphicsContextBase`
An abstract base class that provides color, line styles, etc...
:class:`Event`
The base class for all of the matplotlib event
handling. Derived classes such as :class:`KeyEvent` and
:class:`MouseEvent` store the meta data like keys and buttons
pressed, x and y locations in pixel and
:class:`~matplotlib.axes.Axes` coordinates.
:class:`ShowBase`
The base class for the Show class of each interactive backend;
the 'show' callable is then set to Show.__call__, inherited from
ShowBase.
:class:`ToolContainerBase`
The base class for the Toolbar class of each interactive backend.
:class:`StatusbarBase`
The base class for the messaging area.
"""
from contextlib import contextmanager
from enum import IntEnum
import functools
import importlib
import io
import logging
import os
import sys
import time
from weakref import WeakKeyDictionary
import numpy as np
import matplotlib as mpl
from matplotlib import (
backend_tools as tools, cbook, colors, textpath, tight_bbox, transforms,
widgets, get_backend, is_interactive, rcParams)
from matplotlib._pylab_helpers import Gcf
from matplotlib.transforms import Affine2D
from matplotlib.path import Path
try:
from PIL import PILLOW_VERSION
from distutils.version import LooseVersion
if LooseVersion(PILLOW_VERSION) >= "3.4":
_has_pil = True
else:
_has_pil = False
del PILLOW_VERSION
except ImportError:
_has_pil = False
_log = logging.getLogger(__name__)
_default_filetypes = {
'ps': 'Postscript',
'eps': 'Encapsulated Postscript',
'pdf': 'Portable Document Format',
'pgf': 'PGF code for LaTeX',
'png': 'Portable Network Graphics',
'raw': 'Raw RGBA bitmap',
'rgba': 'Raw RGBA bitmap',
'svg': 'Scalable Vector Graphics',
'svgz': 'Scalable Vector Graphics'
}
_default_backends = {
'ps': 'matplotlib.backends.backend_ps',
'eps': 'matplotlib.backends.backend_ps',
'pdf': 'matplotlib.backends.backend_pdf',
'pgf': 'matplotlib.backends.backend_pgf',
'png': 'matplotlib.backends.backend_agg',
'raw': 'matplotlib.backends.backend_agg',
'rgba': 'matplotlib.backends.backend_agg',
'svg': 'matplotlib.backends.backend_svg',
'svgz': 'matplotlib.backends.backend_svg',
}
def register_backend(format, backend, description=None):
"""
Register a backend for saving to a given file format.
Parameters
----------
format : str
File extension
backend : module string or canvas class
Backend for handling file output
description : str, optional
Description of the file type. Defaults to an empty string
"""
if description is None:
description = ''
_default_backends[format] = backend
_default_filetypes[format] = description
def get_registered_canvas_class(format):
"""
Return the registered default canvas for given file format.
Handles deferred import of required backend.
"""
if format not in _default_backends:
return None
backend_class = _default_backends[format]
if isinstance(backend_class, str):
backend_class = importlib.import_module(backend_class).FigureCanvas
_default_backends[format] = backend_class
return backend_class
class RendererBase(object):
"""An abstract base class to handle drawing/rendering operations.
The following methods must be implemented in the backend for full
functionality (though just implementing :meth:`draw_path` alone would
give a highly capable backend):
* :meth:`draw_path`
* :meth:`draw_image`
* :meth:`draw_gouraud_triangle`
The following methods *should* be implemented in the backend for
optimization reasons:
* :meth:`draw_text`
* :meth:`draw_markers`
* :meth:`draw_path_collection`
* :meth:`draw_quad_mesh`
"""
def __init__(self):
self._texmanager = None
self._text2path = textpath.TextToPath()
def open_group(self, s, gid=None):
"""
Open a grouping element with label *s* and *gid* (if set) as id.
Only used by the SVG renderer.
"""
def close_group(self, s):
"""
Close a grouping element with label *s*
Only used by the SVG renderer.
"""
def draw_path(self, gc, path, transform, rgbFace=None):
"""
Draws a :class:`~matplotlib.path.Path` instance using the
given affine transform.
"""
raise NotImplementedError
def draw_markers(self, gc, marker_path, marker_trans, path,
trans, rgbFace=None):
"""
Draws a marker at each of the vertices in path. This includes
all vertices, including control points on curves. To avoid
that behavior, those vertices should be removed before calling
this function.
This provides a fallback implementation of draw_markers that
makes multiple calls to :meth:`draw_path`. Some backends may
want to override this method in order to draw the marker only
once and reuse it multiple times.
Parameters
----------
gc : `GraphicsContextBase`
The graphics context
marker_trans : `matplotlib.transforms.Transform`
An affine transform applied to the marker.
trans : `matplotlib.transforms.Transform`
An affine transform applied to the path.
"""
for vertices, codes in path.iter_segments(trans, simplify=False):
if len(vertices):
x, y = vertices[-2:]
self.draw_path(gc, marker_path,
marker_trans +
transforms.Affine2D().translate(x, y),
rgbFace)
def draw_path_collection(self, gc, master_transform, paths, all_transforms,
offsets, offsetTrans, facecolors, edgecolors,
linewidths, linestyles, antialiaseds, urls,
offset_position):
"""
Draws a collection of paths selecting drawing properties from
the lists *facecolors*, *edgecolors*, *linewidths*,
*linestyles* and *antialiaseds*. *offsets* is a list of
offsets to apply to each of the paths. The offsets in
*offsets* are first transformed by *offsetTrans* before being
applied. *offset_position* may be either "screen" or "data"
depending on the space that the offsets are in.
This provides a fallback implementation of
:meth:`draw_path_collection` that makes multiple calls to
:meth:`draw_path`. Some backends may want to override this in
order to render each set of path data only once, and then
reference that path multiple times with the different offsets,
colors, styles etc. The generator methods
:meth:`_iter_collection_raw_paths` and
:meth:`_iter_collection` are provided to help with (and
standardize) the implementation across backends. It is highly
recommended to use those generators, so that changes to the
behavior of :meth:`draw_path_collection` can be made globally.
"""
path_ids = [
(path, transforms.Affine2D(transform))
for path, transform in self._iter_collection_raw_paths(
master_transform, paths, all_transforms)]
for xo, yo, path_id, gc0, rgbFace in self._iter_collection(
gc, master_transform, all_transforms, path_ids, offsets,
offsetTrans, facecolors, edgecolors, linewidths, linestyles,
antialiaseds, urls, offset_position):
path, transform = path_id
transform = transforms.Affine2D(
transform.get_matrix()).translate(xo, yo)
self.draw_path(gc0, path, transform, rgbFace)
def draw_quad_mesh(self, gc, master_transform, meshWidth, meshHeight,
coordinates, offsets, offsetTrans, facecolors,
antialiased, edgecolors):
"""
This provides a fallback implementation of
:meth:`draw_quad_mesh` that generates paths and then calls
:meth:`draw_path_collection`.
"""
from matplotlib.collections import QuadMesh
paths = QuadMesh.convert_mesh_to_paths(
meshWidth, meshHeight, coordinates)
if edgecolors is None:
edgecolors = facecolors
linewidths = np.array([gc.get_linewidth()], float)
return self.draw_path_collection(
gc, master_transform, paths, [], offsets, offsetTrans, facecolors,
edgecolors, linewidths, [], [antialiased], [None], 'screen')
def draw_gouraud_triangle(self, gc, points, colors, transform):
"""
Draw a Gouraud-shaded triangle.
Parameters
----------
points : array_like, shape=(3, 2)
Array of (x, y) points for the triangle.
colors : array_like, shape=(3, 4)
RGBA colors for each point of the triangle.
transform : `matplotlib.transforms.Transform`
An affine transform to apply to the points.
"""
raise NotImplementedError
def draw_gouraud_triangles(self, gc, triangles_array, colors_array,
transform):
"""
Draws a series of Gouraud triangles.
Parameters
----------
points : array_like, shape=(N, 3, 2)
Array of *N* (x, y) points for the triangles.
colors : array_like, shape=(N, 3, 4)
Array of *N* RGBA colors for each point of the triangles.
transform : `matplotlib.transforms.Transform`
An affine transform to apply to the points.
"""
transform = transform.frozen()
for tri, col in zip(triangles_array, colors_array):
self.draw_gouraud_triangle(gc, tri, col, transform)
def _iter_collection_raw_paths(self, master_transform, paths,
all_transforms):
"""
This is a helper method (along with :meth:`_iter_collection`) to make
it easier to write a space-efficient :meth:`draw_path_collection`
implementation in a backend.
This method yields all of the base path/transform
combinations, given a master transform, a list of paths and
list of transforms.
The arguments should be exactly what is passed in to
:meth:`draw_path_collection`.
The backend should take each yielded path and transform and
create an object that can be referenced (reused) later.
"""
Npaths = len(paths)
Ntransforms = len(all_transforms)
N = max(Npaths, Ntransforms)
if Npaths == 0:
return
transform = transforms.IdentityTransform()
for i in range(N):
path = paths[i % Npaths]
if Ntransforms:
transform = Affine2D(all_transforms[i % Ntransforms])
yield path, transform + master_transform
def _iter_collection_uses_per_path(self, paths, all_transforms,
offsets, facecolors, edgecolors):
"""
Compute how many times each raw path object returned by
_iter_collection_raw_paths would be used when calling
_iter_collection. This is intended for the backend to decide
on the tradeoff between using the paths in-line and storing
them once and reusing. Rounds up in case the number of uses
is not the same for every path.
"""
Npaths = len(paths)
if Npaths == 0 or len(facecolors) == len(edgecolors) == 0:
return 0
Npath_ids = max(Npaths, len(all_transforms))
N = max(Npath_ids, len(offsets))
return (N + Npath_ids - 1) // Npath_ids
def _iter_collection(self, gc, master_transform, all_transforms,
path_ids, offsets, offsetTrans, facecolors,
edgecolors, linewidths, linestyles,
antialiaseds, urls, offset_position):
"""
This is a helper method (along with
:meth:`_iter_collection_raw_paths`) to make it easier to write
a space-efficient :meth:`draw_path_collection` implementation in a
backend.
This method yields all of the path, offset and graphics
context combinations to draw the path collection. The caller
should already have looped over the results of
:meth:`_iter_collection_raw_paths` to draw this collection.
The arguments should be the same as that passed into
:meth:`draw_path_collection`, with the exception of
*path_ids*, which is a list of arbitrary objects that the
backend will use to reference one of the paths created in the
:meth:`_iter_collection_raw_paths` stage.
Each yielded result is of the form::
xo, yo, path_id, gc, rgbFace
where *xo*, *yo* is an offset; *path_id* is one of the elements of
*path_ids*; *gc* is a graphics context and *rgbFace* is a color to
use for filling the path.
"""
Ntransforms = len(all_transforms)
Npaths = len(path_ids)
Noffsets = len(offsets)
N = max(Npaths, Noffsets)
Nfacecolors = len(facecolors)
Nedgecolors = len(edgecolors)
Nlinewidths = len(linewidths)
Nlinestyles = len(linestyles)
Naa = len(antialiaseds)
Nurls = len(urls)
if (Nfacecolors == 0 and Nedgecolors == 0) or Npaths == 0:
return
if Noffsets:
toffsets = offsetTrans.transform(offsets)
gc0 = self.new_gc()
gc0.copy_properties(gc)
if Nfacecolors == 0:
rgbFace = None
if Nedgecolors == 0:
gc0.set_linewidth(0.0)
xo, yo = 0, 0
for i in range(N):
path_id = path_ids[i % Npaths]
if Noffsets:
xo, yo = toffsets[i % Noffsets]
if offset_position == 'data':
if Ntransforms:
transform = (
Affine2D(all_transforms[i % Ntransforms]) +
master_transform)
else:
transform = master_transform
xo, yo = transform.transform_point((xo, yo))
xp, yp = transform.transform_point((0, 0))
xo = -(xp - xo)
yo = -(yp - yo)
if not (np.isfinite(xo) and np.isfinite(yo)):
continue
if Nfacecolors:
rgbFace = facecolors[i % Nfacecolors]
if Nedgecolors:
if Nlinewidths:
gc0.set_linewidth(linewidths[i % Nlinewidths])
if Nlinestyles:
gc0.set_dashes(*linestyles[i % Nlinestyles])
fg = edgecolors[i % Nedgecolors]
if len(fg) == 4:
if fg[3] == 0.0:
gc0.set_linewidth(0)
else:
gc0.set_foreground(fg)
else:
gc0.set_foreground(fg)
if rgbFace is not None and len(rgbFace) == 4:
if rgbFace[3] == 0:
rgbFace = None
gc0.set_antialiased(antialiaseds[i % Naa])
if Nurls:
gc0.set_url(urls[i % Nurls])
yield xo, yo, path_id, gc0, rgbFace
gc0.restore()
def get_image_magnification(self):
"""
Get the factor by which to magnify images passed to :meth:`draw_image`.
Allows a backend to have images at a different resolution to other
artists.
"""
return 1.0
def draw_image(self, gc, x, y, im, transform=None):
"""
Draw an RGBA image.
Parameters
----------
gc : `GraphicsContextBase`
a graphics context with clipping information.
x : scalar
the distance in physical units (i.e., dots or pixels) from the left
hand side of the canvas.
y : scalar
the distance in physical units (i.e., dots or pixels) from the
bottom side of the canvas.
im : array_like, shape=(N, M, 4), dtype=np.uint8
An array of RGBA pixels.
transform : `matplotlib.transforms.Affine2DBase`
If and only if the concrete backend is written such that
:meth:`option_scale_image` returns ``True``, an affine
transformation *may* be passed to :meth:`draw_image`. It takes the
form of a :class:`~matplotlib.transforms.Affine2DBase` instance.
The translation vector of the transformation is given in physical
units (i.e., dots or pixels). Note that the transformation does not
override `x` and `y`, and has to be applied *before* translating
the result by `x` and `y` (this can be accomplished by adding `x`
and `y` to the translation vector defined by `transform`).
"""
raise NotImplementedError
def option_image_nocomposite(self):
"""
Return whether image composition by Matplotlib should be skipped.
Raster backends should usually return False (letting the C-level
rasterizer take care of image composition); vector backends should
usually return ``not rcParams["image.composite_image"]``.
"""
return False
def option_scale_image(self):
"""
Return whether arbitrary affine transformations in :meth:`draw_image`
are supported (True for most vector backends).
"""
return False
def draw_tex(self, gc, x, y, s, prop, angle, ismath='TeX!', mtext=None):
"""
"""
self._draw_text_as_path(gc, x, y, s, prop, angle, ismath="TeX")
def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
"""
Draw the text instance.
Parameters
----------
gc : `GraphicsContextBase`
The graphics context.
x : scalar
The x location of the text in display coords.
y : scalar
The y location of the text baseline in display coords.
s : str
The text string.
prop : `matplotlib.font_manager.FontProperties`
The font properties.
angle : scalar
The rotation angle in degrees.
mtext : `matplotlib.text.Text`
The original text object to be rendered.
Notes
-----
**backend implementers note**
When you are trying to determine if you have gotten your bounding box
right (which is what enables the text layout/alignment to work
properly), it helps to change the line in text.py::
if 0: bbox_artist(self, renderer)
to if 1, and then the actual bounding box will be plotted along with
your text.
"""
self._draw_text_as_path(gc, x, y, s, prop, angle, ismath)
def _get_text_path_transform(self, x, y, s, prop, angle, ismath):
"""
Return the text path and transform.
Parameters
----------
prop : `matplotlib.font_manager.FontProperties`
The font property.
s : str
The text to be converted.
ismath : bool or "TeX"
If True, use mathtext parser. If "TeX", use *usetex* mode.
"""
text2path = self._text2path
fontsize = self.points_to_pixels(prop.get_size_in_points())
verts, codes = text2path.get_text_path(prop, s, ismath=ismath)
path = Path(verts, codes)
angle = np.deg2rad(angle)
if self.flipy():
transform = Affine2D().scale(fontsize / text2path.FONT_SCALE,
fontsize / text2path.FONT_SCALE)
transform = transform.rotate(angle).translate(x, self.height - y)
else:
transform = Affine2D().scale(fontsize / text2path.FONT_SCALE,
fontsize / text2path.FONT_SCALE)
transform = transform.rotate(angle).translate(x, y)
return path, transform
def _draw_text_as_path(self, gc, x, y, s, prop, angle, ismath):
"""
Draw the text by converting them to paths using textpath module.
Parameters
----------
prop : `matplotlib.font_manager.FontProperties`
The font property.
s : str
The text to be converted.
usetex : bool
Whether to use matplotlib usetex mode.
ismath : bool or "TeX"
If True, use mathtext parser. If "TeX", use *usetex* mode.
"""
path, transform = self._get_text_path_transform(
x, y, s, prop, angle, ismath)
color = gc.get_rgb()
gc.set_linewidth(0.0)
self.draw_path(gc, path, transform, rgbFace=color)
def get_text_width_height_descent(self, s, prop, ismath):
"""
Get the width, height, and descent (offset from the bottom
to the baseline), in display coords, of the string *s* with
:class:`~matplotlib.font_manager.FontProperties` *prop*
"""
if ismath == 'TeX':
# todo: handle props
texmanager = self._text2path.get_texmanager()
fontsize = prop.get_size_in_points()
w, h, d = texmanager.get_text_width_height_descent(
s, fontsize, renderer=self)
return w, h, d
dpi = self.points_to_pixels(72)
if ismath:
dims = self._text2path.mathtext_parser.parse(s, dpi, prop)
return dims[0:3] # return width, height, descent
flags = self._text2path._get_hinting_flag()
font = self._text2path._get_font(prop)
size = prop.get_size_in_points()
font.set_size(size, dpi)
# the width and height of unrotated string
font.set_text(s, 0.0, flags=flags)
w, h = font.get_width_height()
d = font.get_descent()
w /= 64.0 # convert from subpixels
h /= 64.0
d /= 64.0
return w, h, d
def flipy(self):
"""
Return whether y values increase from top to bottom.
Note that this only affects drawing of texts and images.
"""
return True
def get_canvas_width_height(self):
"""Return the canvas width and height in display coords."""
return 1, 1
def get_texmanager(self):
"""Return the `.TexManager` instance."""
if self._texmanager is None:
from matplotlib.texmanager import TexManager
self._texmanager = TexManager()
return self._texmanager
def new_gc(self):
"""Return an instance of a `GraphicsContextBase`."""
return GraphicsContextBase()
def points_to_pixels(self, points):
"""
Convert points to display units.
You need to override this function (unless your backend
doesn't have a dpi, e.g., postscript or svg). Some imaging
systems assume some value for pixels per inch::
points to pixels = points * pixels_per_inch/72.0 * dpi/72.0
Parameters
----------
points : scalar or array_like
a float or a numpy array of float
Returns
-------
Points converted to pixels
"""
return points
@cbook.deprecated("3.1", alternative="cbook.strip_math")
def strip_math(self, s):
return cbook.strip_math(s)
def start_rasterizing(self):
"""
Switch to the raster renderer.
Used by `MixedModeRenderer`.
"""
def stop_rasterizing(self):
"""
Switch back to the vector renderer and draw the contents of the raster
renderer as an image on the vector renderer.
Used by `MixedModeRenderer`.
"""
def start_filter(self):
"""
Switch to a temporary renderer for image filtering effects.
Currently only supported by the agg renderer.
"""
def stop_filter(self, filter_func):
"""
Switch back to the original renderer. The contents of the temporary
renderer is processed with the *filter_func* and is drawn on the
original renderer as an image.
Currently only supported by the agg renderer.
"""
class GraphicsContextBase(object):
"""An abstract base class that provides color, line styles, etc."""
def __init__(self):
self._alpha = 1.0
self._forced_alpha = False # if True, _alpha overrides A from RGBA
self._antialiased = 1 # use 0,1 not True, False for extension code
self._capstyle = 'butt'
self._cliprect = None
self._clippath = None
self._dashes = None, None
self._joinstyle = 'round'
self._linestyle = 'solid'
self._linewidth = 1
self._rgb = (0.0, 0.0, 0.0, 1.0)
self._hatch = None
self._hatch_color = colors.to_rgba(rcParams['hatch.color'])
self._hatch_linewidth = rcParams['hatch.linewidth']
self._url = None
self._gid = None
self._snap = None
self._sketch = None
def copy_properties(self, gc):
'Copy properties from gc to self'
self._alpha = gc._alpha
self._forced_alpha = gc._forced_alpha
self._antialiased = gc._antialiased
self._capstyle = gc._capstyle
self._cliprect = gc._cliprect
self._clippath = gc._clippath
self._dashes = gc._dashes
self._joinstyle = gc._joinstyle
self._linestyle = gc._linestyle
self._linewidth = gc._linewidth
self._rgb = gc._rgb
self._hatch = gc._hatch
self._hatch_color = gc._hatch_color
self._hatch_linewidth = gc._hatch_linewidth
self._url = gc._url
self._gid = gc._gid
self._snap = gc._snap
self._sketch = gc._sketch
def restore(self):
"""
Restore the graphics context from the stack - needed only
for backends that save graphics contexts on a stack.
"""
def get_alpha(self):
"""
Return the alpha value used for blending - not supported on
all backends.
"""
return self._alpha
def get_antialiased(self):
"Return whether the object should try to do antialiased rendering."
return self._antialiased
def get_capstyle(self):
"""
Return the capstyle as a string in ('butt', 'round', 'projecting').
"""
return self._capstyle
def get_clip_rectangle(self):
"""
Return the clip rectangle as a `~matplotlib.transforms.Bbox` instance.
"""
return self._cliprect
def get_clip_path(self):
"""
Return the clip path in the form (path, transform), where path
is a :class:`~matplotlib.path.Path` instance, and transform is
an affine transform to apply to the path before clipping.
"""
if self._clippath is not None:
return self._clippath.get_transformed_path_and_affine()
return None, None
def get_dashes(self):
"""
Return the dash information as an offset dashlist tuple.
The dash list is a even size list that gives the ink on, ink
off in pixels.
See p107 of to PostScript `BLUEBOOK
<https://www-cdf.fnal.gov/offline/PostScript/BLUEBOOK.PDF>`_
for more info.
Default value is None
"""
return self._dashes
def get_forced_alpha(self):
"""
Return whether the value given by get_alpha() should be used to
override any other alpha-channel values.
"""
return self._forced_alpha
def get_joinstyle(self):
"""Return the line join style as one of ('miter', 'round', 'bevel')."""
return self._joinstyle
def get_linewidth(self):
"""Return the line width in points."""
return self._linewidth
def get_rgb(self):
"""Return a tuple of three or four floats from 0-1."""
return self._rgb
def get_url(self):
"""Return a url if one is set, None otherwise."""
return self._url
def get_gid(self):
"""Return the object identifier if one is set, None otherwise."""
return self._gid
def get_snap(self):
"""
Returns the snap setting, which can be:
* True: snap vertices to the nearest pixel center
* False: leave vertices as-is
* None: (auto) If the path contains only rectilinear line segments,
round to the nearest pixel center
"""
return self._snap
def set_alpha(self, alpha):
"""
Set the alpha value used for blending - not supported on all backends.
If ``alpha=None`` (the default), the alpha components of the
foreground and fill colors will be used to set their respective
transparencies (where applicable); otherwise, ``alpha`` will override
them.
"""
if alpha is not None:
self._alpha = alpha
self._forced_alpha = True
else:
self._alpha = 1.0
self._forced_alpha = False
self.set_foreground(self._rgb, isRGBA=True)
def set_antialiased(self, b):
"""Set whether object should be drawn with antialiased rendering."""
# Use ints to make life easier on extension code trying to read the gc.
self._antialiased = int(bool(b))
def set_capstyle(self, cs):
"""Set the capstyle to be one of ('butt', 'round', 'projecting')."""
if cs in ('butt', 'round', 'projecting'):
self._capstyle = cs
else:
raise ValueError('Unrecognized cap style. Found %s' % cs)
def set_clip_rectangle(self, rectangle):
"""
Set the clip rectangle with sequence (left, bottom, width, height)
"""
self._cliprect = rectangle
def set_clip_path(self, path):
"""
Set the clip path and transformation. Path should be a
:class:`~matplotlib.transforms.TransformedPath` instance.
"""
if (path is not None
and not isinstance(path, transforms.TransformedPath)):
raise ValueError("Path should be a "
"matplotlib.transforms.TransformedPath instance")
self._clippath = path
def set_dashes(self, dash_offset, dash_list):
"""
Set the dash style for the gc.
Parameters
----------
dash_offset : float
is the offset (usually 0).
dash_list : array_like
specifies the on-off sequence as points.
``(None, None)`` specifies a solid line
"""
if dash_list is not None:
dl = np.asarray(dash_list)
if np.any(dl < 0.0):
raise ValueError(
"All values in the dash list must be positive")
self._dashes = dash_offset, dash_list
def set_foreground(self, fg, isRGBA=False):
"""
Set the foreground color.
Parameters
----------
fg : color
isRGBA : bool
If *fg* is known to be an ``(r, g, b, a)`` tuple, *isRGBA* can be
set to True to improve performance.
"""
if self._forced_alpha and isRGBA:
self._rgb = fg[:3] + (self._alpha,)
elif self._forced_alpha:
self._rgb = colors.to_rgba(fg, self._alpha)
elif isRGBA:
self._rgb = fg
else:
self._rgb = colors.to_rgba(fg)
def set_joinstyle(self, js):
"""Set the join style to be one of ('miter', 'round', 'bevel')."""
if js in ('miter', 'round', 'bevel'):
self._joinstyle = js
else:
raise ValueError('Unrecognized join style. Found %s' % js)
def set_linewidth(self, w):
"""Set the linewidth in points."""
self._linewidth = float(w)
def set_url(self, url):
"""Set the url for links in compatible backends."""
self._url = url
def set_gid(self, id):
"""Set the id."""
self._gid = id
def set_snap(self, snap):
"""
Set the snap setting which may be:
* True: snap vertices to the nearest pixel center
* False: leave vertices as-is
* None: (auto) If the path contains only rectilinear line segments,
round to the nearest pixel center
"""
self._snap = snap
def set_hatch(self, hatch):
"""Set the hatch style (for fills)."""
self._hatch = hatch
def get_hatch(self):
"""Get the current hatch style."""
return self._hatch
def get_hatch_path(self, density=6.0):
"""Return a `Path` for the current hatch."""
hatch = self.get_hatch()
if hatch is None:
return None
return Path.hatch(hatch, density)
def get_hatch_color(self):
"""Get the hatch color."""
return self._hatch_color
def set_hatch_color(self, hatch_color):
"""Set the hatch color."""
self._hatch_color = hatch_color
def get_hatch_linewidth(self):
"""Get the hatch linewidth."""
return self._hatch_linewidth
def get_sketch_params(self):
"""
Return the sketch parameters for the artist.
Returns
-------
sketch_params : tuple or `None`
A 3-tuple with the following elements:
* `scale`: The amplitude of the wiggle perpendicular to the
source line.
* `length`: The length of the wiggle along the line.
* `randomness`: The scale factor by which the length is
shrunken or expanded.
May return `None` if no sketch parameters were set.
"""
return self._sketch
def set_sketch_params(self, scale=None, length=None, randomness=None):
"""
Set the sketch parameters.
Parameters
----------
scale : float, optional
The amplitude of the wiggle perpendicular to the source line, in
pixels. If scale is `None`, or not provided, no sketch filter will
be provided.
length : float, optional
The length of the wiggle along the line, in pixels (default 128).
randomness : float, optional
The scale factor by which the length is shrunken or expanded
(default 16).
"""
self._sketch = (
None if scale is None
else (scale, length or 128., randomness or 16.))
class TimerBase(object):
"""
A base class for providing timer events, useful for things animations.
Backends need to implement a few specific methods in order to use their
own timing mechanisms so that the timer events are integrated into their
event loops.
Mandatory functions that must be implemented:
* `_timer_start`: Contains backend-specific code for starting
the timer
* `_timer_stop`: Contains backend-specific code for stopping
the timer
Optional overrides:
* `_timer_set_single_shot`: Code for setting the timer to
single shot operating mode, if supported by the timer
object. If not, the `Timer` class itself will store the flag
and the `_on_timer` method should be overridden to support
such behavior.
* `_timer_set_interval`: Code for setting the interval on the
timer, if there is a method for doing so on the timer
object.
* `_on_timer`: This is the internal function that any timer
object should call, which will handle the task of running
all callbacks that have been set.
Attributes
----------
interval : scalar
The time between timer events in milliseconds. Default is 1000 ms.
single_shot : bool
Boolean flag indicating whether this timer should operate as single
shot (run once and then stop). Defaults to `False`.
callbacks : List[Tuple[callable, Tuple, Dict]]
Stores list of (func, args, kwargs) tuples that will be called upon
timer events. This list can be manipulated directly, or the
functions `add_callback` and `remove_callback` can be used.
"""
def __init__(self, interval=None, callbacks=None):
#Initialize empty callbacks list and setup default settings if necssary
if callbacks is None:
self.callbacks = []
else:
self.callbacks = callbacks[:] # Create a copy
if interval is None:
self._interval = 1000
else:
self._interval = interval
self._single = False
# Default attribute for holding the GUI-specific timer object
self._timer = None
def __del__(self):
"""Need to stop timer and possibly disconnect timer."""
self._timer_stop()
def start(self, interval=None):
"""
Start the timer object.
Parameters
----------
interval : int, optional
Timer interval in milliseconds; overrides a previously set interval
if provided.
"""
if interval is not None:
self._set_interval(interval)
self._timer_start()
def stop(self):
"""Stop the timer."""
self._timer_stop()
def _timer_start(self):
pass
def _timer_stop(self):
pass
@property
def interval(self):
return self._interval
@interval.setter
def interval(self, interval):
# Force to int since none of the backends actually support fractional
# milliseconds, and some error or give warnings.
interval = int(interval)
self._interval = interval
self._timer_set_interval()
@property
def single_shot(self):
return self._single
@single_shot.setter
def single_shot(self, ss):
self._single = ss
self._timer_set_single_shot()
def add_callback(self, func, *args, **kwargs):
"""
Register *func* to be called by timer when the event fires. Any
additional arguments provided will be passed to *func*.
This function returns *func*, which makes it possible to use it as a
decorator.
"""
self.callbacks.append((func, args, kwargs))
return func
def remove_callback(self, func, *args, **kwargs):
"""
Remove *func* from list of callbacks.
*args* and *kwargs* are optional and used to distinguish between copies
of the same function registered to be called with different arguments.
This behavior is deprecated. In the future, `*args, **kwargs` won't be
considered anymore; to keep a specific callback removable by itself,
pass it to `add_callback` as a `functools.partial` object.
"""
if args or kwargs:
cbook.warn_deprecated(
"3.1", "In a future version, Timer.remove_callback will not "
"take *args, **kwargs anymore, but remove all callbacks where "
"the callable matches; to keep a specific callback removable "
"by itself, pass it to add_callback as a functools.partial "
"object.")
self.callbacks.remove((func, args, kwargs))
else:
funcs = [c[0] for c in self.callbacks]
if func in funcs:
self.callbacks.pop(funcs.index(func))
def _timer_set_interval(self):
"""Used to set interval on underlying timer object."""
def _timer_set_single_shot(self):
"""Used to set single shot on underlying timer object."""
def _on_timer(self):
"""
Runs all function that have been registered as callbacks. Functions
can return False (or 0) if they should not be called any more. If there
are no callbacks, the timer is automatically stopped.
"""
for func, args, kwargs in self.callbacks:
ret = func(*args, **kwargs)
# docstring above explains why we use `if ret == 0` here,
# instead of `if not ret`.
# This will also catch `ret == False` as `False == 0`
# but does not annoy the linters
# https://docs.python.org/3/library/stdtypes.html#boolean-values
if ret == 0:
self.callbacks.remove((func, args, kwargs))
if len(self.callbacks) == 0:
self.stop()
class Event(object):
"""
A matplotlib event. Attach additional attributes as defined in
:meth:`FigureCanvasBase.mpl_connect`. The following attributes
are defined and shown with their default values
Attributes
----------
name : str
the event name
canvas : `FigureCanvasBase`
the backend-specific canvas instance generating the event
guiEvent
the GUI event that triggered the matplotlib event
"""
def __init__(self, name, canvas, guiEvent=None):
self.name = name
self.canvas = canvas
self.guiEvent = guiEvent
class DrawEvent(Event):
"""
An event triggered by a draw operation on the canvas
In most backends callbacks subscribed to this callback will be
fired after the rendering is complete but before the screen is
updated. Any extra artists drawn to the canvas's renderer will
be reflected without an explicit call to ``blit``.
.. warning ::
Calling ``canvas.draw`` and ``canvas.blit`` in these callbacks may
not be safe with all backends and may cause infinite recursion.
In addition to the :class:`Event` attributes, the following event
attributes are defined:
Attributes
----------
renderer : `RendererBase`
the renderer for the draw event
"""
def __init__(self, name, canvas, renderer):
Event.__init__(self, name, canvas)
self.renderer = renderer
class ResizeEvent(Event):
"""
An event triggered by a canvas resize
In addition to the :class:`Event` attributes, the following event
attributes are defined:
Attributes
----------
width : scalar
width of the canvas in pixels
height : scalar
height of the canvas in pixels
"""
def __init__(self, name, canvas):
Event.__init__(self, name, canvas)
self.width, self.height = canvas.get_width_height()
class CloseEvent(Event):
"""An event triggered by a figure being closed."""
class LocationEvent(Event):
"""
An event that has a screen location.
The following additional attributes are defined and shown with
their default values.
In addition to the :class:`Event` attributes, the following
event attributes are defined:
Attributes
----------
x : scalar
x position - pixels from left of canvas
y : scalar
y position - pixels from bottom of canvas
inaxes : bool
the :class:`~matplotlib.axes.Axes` instance if mouse is over axes
xdata : scalar
x coord of mouse in data coords
ydata : scalar
y coord of mouse in data coords
"""
lastevent = None # the last event that was triggered before this one
def __init__(self, name, canvas, x, y, guiEvent=None):
"""
*x*, *y* in figure coords, 0,0 = bottom, left
"""
Event.__init__(self, name, canvas, guiEvent=guiEvent)
# x position - pixels from left of canvas
self.x = int(x) if x is not None else x
# y position - pixels from right of canvas
self.y = int(y) if y is not None else y
self.inaxes = None # the Axes instance if mouse us over axes
self.xdata = None # x coord of mouse in data coords
self.ydata = None # y coord of mouse in data coords
if x is None or y is None:
# cannot check if event was in axes if no x,y info
self._update_enter_leave()
return
if self.canvas.mouse_grabber is None:
self.inaxes = self.canvas.inaxes((x, y))
else:
self.inaxes = self.canvas.mouse_grabber
if self.inaxes is not None:
try:
trans = self.inaxes.transData.inverted()
xdata, ydata = trans.transform_point((x, y))
except ValueError:
pass
else:
self.xdata = xdata
self.ydata = ydata
self._update_enter_leave()
def _update_enter_leave(self):
'process the figure/axes enter leave events'
if LocationEvent.lastevent is not None:
last = LocationEvent.lastevent
if last.inaxes != self.inaxes:
# process axes enter/leave events
try:
if last.inaxes is not None:
last.canvas.callbacks.process('axes_leave_event', last)
except Exception:
pass
# See ticket 2901582.
# I think this is a valid exception to the rule
# against catching all exceptions; if anything goes
# wrong, we simply want to move on and process the
# current event.
if self.inaxes is not None:
self.canvas.callbacks.process('axes_enter_event', self)
else:
# process a figure enter event
if self.inaxes is not None:
self.canvas.callbacks.process('axes_enter_event', self)
LocationEvent.lastevent = self
class MouseButton(IntEnum):
LEFT = 1
MIDDLE = 2
RIGHT = 3
BACK = 8
FORWARD = 9
class MouseEvent(LocationEvent):
"""
A mouse event ('button_press_event',
'button_release_event',
'scroll_event',
'motion_notify_event').
In addition to the :class:`Event` and :class:`LocationEvent`
attributes, the following attributes are defined:
Attributes
----------
button : {None, MouseButton.LEFT, MouseButton.MIDDLE, MouseButton.RIGHT, \
'up', 'down'}
The button pressed. 'up' and 'down' are used for scroll events.
Note that in the nbagg backend, both the middle and right clicks
return RIGHT since right clicking will bring up the context menu in
some browsers.
Note that LEFT and RIGHT actually refer to the "primary" and
"secondary" buttons, i.e. if the user inverts their left and right
buttons ("left-handed setting") then the LEFT button will be the one
physically on the right.
key : None or str
The key pressed when the mouse event triggered, e.g. 'shift'.
See `KeyEvent`.
step : scalar
The number of scroll steps (positive for 'up', negative for 'down').
This applies only to 'scroll_event' and defaults to 0 otherwise.
dblclick : bool
Whether the event is a double-click. This applies only to
'button_press_event' and is False otherwise. In particular, it's
not used in 'button_release_event'.
Examples
--------
Usage::
def on_press(event):
print('you pressed', event.button, event.xdata, event.ydata)
cid = fig.canvas.mpl_connect('button_press_event', on_press)
"""
def __init__(self, name, canvas, x, y, button=None, key=None,
step=0, dblclick=False, guiEvent=None):
"""
x, y in figure coords, 0,0 = bottom, left
button pressed None, 1, 2, 3, 'up', 'down'
"""
LocationEvent.__init__(self, name, canvas, x, y, guiEvent=guiEvent)
if button in MouseButton.__members__.values():
button = MouseButton(button)
self.button = button
self.key = key
self.step = step
self.dblclick = dblclick
def __str__(self):
return (f"{self.name}: "
f"xy=({self.x}, {self.y}) xydata=({self.xdata}, {self.ydata}) "
f"button={self.button} dblclick={self.dblclick} "
f"inaxes={self.inaxes}")
class PickEvent(Event):
"""
a pick event, fired when the user picks a location on the canvas
sufficiently close to an artist.
Attrs: all the :class:`Event` attributes plus
Attributes
----------
mouseevent : `MouseEvent`
the mouse event that generated the pick
artist : `matplotlib.artist.Artist`
the picked artist
other
extra class dependent attrs -- e.g., a
:class:`~matplotlib.lines.Line2D` pick may define different
extra attributes than a
:class:`~matplotlib.collections.PatchCollection` pick event
Examples
--------
Usage::
ax.plot(np.rand(100), 'o', picker=5) # 5 points tolerance
def on_pick(event):
line = event.artist
xdata, ydata = line.get_data()
ind = event.ind
print('on pick line:', np.array([xdata[ind], ydata[ind]]).T)
cid = fig.canvas.mpl_connect('pick_event', on_pick)
"""
def __init__(self, name, canvas, mouseevent, artist,
guiEvent=None, **kwargs):
Event.__init__(self, name, canvas, guiEvent)
self.mouseevent = mouseevent
self.artist = artist
self.__dict__.update(kwargs)
class KeyEvent(LocationEvent):
"""
A key event (key press, key release).
Attach additional attributes as defined in
:meth:`FigureCanvasBase.mpl_connect`.
In addition to the :class:`Event` and :class:`LocationEvent`
attributes, the following attributes are defined:
Attributes
----------
key : None or str
the key(s) pressed. Could be **None**, a single case sensitive ascii
character ("g", "G", "#", etc.), a special key
("control", "shift", "f1", "up", etc.) or a
combination of the above (e.g., "ctrl+alt+g", "ctrl+alt+G").
Notes
-----
Modifier keys will be prefixed to the pressed key and will be in the order
"ctrl", "alt", "super". The exception to this rule is when the pressed key
is itself a modifier key, therefore "ctrl+alt" and "alt+control" can both
be valid key values.
Examples
--------
Usage::
def on_key(event):
print('you pressed', event.key, event.xdata, event.ydata)
cid = fig.canvas.mpl_connect('key_press_event', on_key)
"""
def __init__(self, name, canvas, key, x=0, y=0, guiEvent=None):
LocationEvent.__init__(self, name, canvas, x, y, guiEvent=guiEvent)
self.key = key
def _is_non_interactive_terminal_ipython(ip):
"""
Return whether we are in a a terminal IPython, but non interactive.
When in _terminal_ IPython, ip.parent will have and `interact` attribute,
if this attribute is False we do not setup eventloop integration as the
user will _not_ interact with IPython. In all other case (ZMQKernel, or is
interactive), we do.
"""
return (hasattr(ip, 'parent')
and (ip.parent is not None)
and getattr(ip.parent, 'interact', None) is False)
class FigureCanvasBase(object):
"""
The canvas the figure renders into.
Public attributes
Attributes
----------
figure : `matplotlib.figure.Figure`
A high-level figure instance
"""
events = [
'resize_event',
'draw_event',
'key_press_event',
'key_release_event',
'button_press_event',
'button_release_event',
'scroll_event',
'motion_notify_event',
'pick_event',
'idle_event',
'figure_enter_event',
'figure_leave_event',
'axes_enter_event',
'axes_leave_event',
'close_event'
]
supports_blit = True
fixed_dpi = None
filetypes = _default_filetypes
if _has_pil:
# JPEG support
register_backend('jpg', 'matplotlib.backends.backend_agg',
'Joint Photographic Experts Group')
register_backend('jpeg', 'matplotlib.backends.backend_agg',
'Joint Photographic Experts Group')
# TIFF support
register_backend('tif', 'matplotlib.backends.backend_agg',
'Tagged Image File Format')
register_backend('tiff', 'matplotlib.backends.backend_agg',
'Tagged Image File Format')
def __init__(self, figure):
self._fix_ipython_backend2gui()
self._is_idle_drawing = True
self._is_saving = False
figure.set_canvas(self)
self.figure = figure
# a dictionary from event name to a dictionary that maps cid->func
self.callbacks = cbook.CallbackRegistry()
self.widgetlock = widgets.LockDraw()
self._button = None # the button pressed
self._key = None # the key pressed
self._lastx, self._lasty = None, None
self.button_pick_id = self.mpl_connect('button_press_event', self.pick)
self.scroll_pick_id = self.mpl_connect('scroll_event', self.pick)
self.mouse_grabber = None # the axes currently grabbing mouse
self.toolbar = None # NavigationToolbar2 will set me
self._is_idle_drawing = False
@classmethod
@functools.lru_cache()
def _fix_ipython_backend2gui(cls):
# Fix hard-coded module -> toolkit mapping in IPython (used for
# `ipython --auto`). This cannot be done at import time due to
# ordering issues, so we do it when creating a canvas, and should only
# be done once per class (hence the `lru_cache(1)`).
if "IPython" not in sys.modules:
return
import IPython
ip = IPython.get_ipython()
if not ip:
return
from IPython.core import pylabtools as pt
if (not hasattr(pt, "backend2gui")
or not hasattr(ip, "enable_matplotlib")):
# In case we ever move the patch to IPython and remove these APIs,
# don't break on our side.
return
backend_mod = sys.modules[cls.__module__]
rif = getattr(backend_mod, "required_interactive_framework", None)
backend2gui_rif = {"qt5": "qt", "qt4": "qt", "gtk3": "gtk3",
"wx": "wx", "macosx": "osx"}.get(rif)
if backend2gui_rif:
if _is_non_interactive_terminal_ipython(ip):
ip.enable_gui(backend2gui_rif)
@contextmanager
def _idle_draw_cntx(self):
self._is_idle_drawing = True
yield
self._is_idle_drawing = False
def is_saving(self):
"""
Returns whether the renderer is in the process of saving
to a file, rather than rendering for an on-screen buffer.
"""
return self._is_saving
def pick(self, mouseevent):
if not self.widgetlock.locked():
self.figure.pick(mouseevent)
def blit(self, bbox=None):
"""Blit the canvas in bbox (default entire canvas)."""
def resize(self, w, h):
"""Set the canvas size in pixels."""
def draw_event(self, renderer):
"""Pass a `DrawEvent` to all functions connected to ``draw_event``."""
s = 'draw_event'
event = DrawEvent(s, self, renderer)
self.callbacks.process(s, event)
def resize_event(self):
"""Pass a `ResizeEvent` to all functions connected to ``resize_event``.
"""
s = 'resize_event'
event = ResizeEvent(s, self)
self.callbacks.process(s, event)
self.draw_idle()
def close_event(self, guiEvent=None):
"""Pass a `CloseEvent` to all functions connected to ``close_event``.
"""
s = 'close_event'
try:
event = CloseEvent(s, self, guiEvent=guiEvent)
self.callbacks.process(s, event)
except (TypeError, AttributeError):
pass
# Suppress the TypeError when the python session is being killed.
# It may be that a better solution would be a mechanism to
# disconnect all callbacks upon shutdown.
# AttributeError occurs on OSX with qt4agg upon exiting
# with an open window; 'callbacks' attribute no longer exists.
def key_press_event(self, key, guiEvent=None):
"""Pass a `KeyEvent` to all functions connected to ``key_press_event``.
"""
self._key = key
s = 'key_press_event'
event = KeyEvent(
s, self, key, self._lastx, self._lasty, guiEvent=guiEvent)
self.callbacks.process(s, event)
def key_release_event(self, key, guiEvent=None):
"""
Pass a `KeyEvent` to all functions connected to ``key_release_event``.
"""
s = 'key_release_event'
event = KeyEvent(
s, self, key, self._lastx, self._lasty, guiEvent=guiEvent)
self.callbacks.process(s, event)
self._key = None
def pick_event(self, mouseevent, artist, **kwargs):
"""
This method will be called by artists who are picked and will
fire off :class:`PickEvent` callbacks registered listeners
"""
s = 'pick_event'
event = PickEvent(s, self, mouseevent, artist,
guiEvent=mouseevent.guiEvent,
**kwargs)
self.callbacks.process(s, event)
def scroll_event(self, x, y, step, guiEvent=None):
"""
Backend derived classes should call this function on any
scroll wheel event. x,y are the canvas coords: 0,0 is lower,
left. button and key are as defined in MouseEvent.
This method will be call all functions connected to the
'scroll_event' with a :class:`MouseEvent` instance.
"""
if step >= 0:
self._button = 'up'
else:
self._button = 'down'
s = 'scroll_event'
mouseevent = MouseEvent(s, self, x, y, self._button, self._key,
step=step, guiEvent=guiEvent)
self.callbacks.process(s, mouseevent)
def button_press_event(self, x, y, button, dblclick=False, guiEvent=None):
"""
Backend derived classes should call this function on any mouse
button press. x,y are the canvas coords: 0,0 is lower, left.
button and key are as defined in :class:`MouseEvent`.
This method will be call all functions connected to the
'button_press_event' with a :class:`MouseEvent` instance.
"""
self._button = button
s = 'button_press_event'
mouseevent = MouseEvent(s, self, x, y, button, self._key,
dblclick=dblclick, guiEvent=guiEvent)
self.callbacks.process(s, mouseevent)
def button_release_event(self, x, y, button, guiEvent=None):
"""
Backend derived classes should call this function on any mouse
button release.
This method will call all functions connected to the
'button_release_event' with a :class:`MouseEvent` instance.
Parameters
----------
x : scalar
the canvas coordinates where 0=left
y : scalar
the canvas coordinates where 0=bottom
guiEvent
the native UI event that generated the mpl event
"""
s = 'button_release_event'
event = MouseEvent(s, self, x, y, button, self._key, guiEvent=guiEvent)
self.callbacks.process(s, event)
self._button = None
def motion_notify_event(self, x, y, guiEvent=None):
"""
Backend derived classes should call this function on any
motion-notify-event.
This method will call all functions connected to the
'motion_notify_event' with a :class:`MouseEvent` instance.
Parameters
----------
x : scalar
the canvas coordinates where 0=left
y : scalar
the canvas coordinates where 0=bottom
guiEvent
the native UI event that generated the mpl event
"""
self._lastx, self._lasty = x, y
s = 'motion_notify_event'
event = MouseEvent(s, self, x, y, self._button, self._key,
guiEvent=guiEvent)
self.callbacks.process(s, event)
def leave_notify_event(self, guiEvent=None):
"""
Backend derived classes should call this function when leaving
canvas
Parameters
----------
guiEvent
the native UI event that generated the mpl event
"""
self.callbacks.process('figure_leave_event', LocationEvent.lastevent)
LocationEvent.lastevent = None
self._lastx, self._lasty = None, None
def enter_notify_event(self, guiEvent=None, xy=None):
"""
Backend derived classes should call this function when entering
canvas
Parameters
----------
guiEvent
the native UI event that generated the mpl event
xy : (float, float)
the coordinate location of the pointer when the canvas is
entered
"""
if xy is not None:
x, y = xy
self._lastx, self._lasty = x, y
else:
x = None
y = None
cbook.warn_deprecated(
'3.0', message='enter_notify_event expects a location but '
'your backend did not pass one.')
event = LocationEvent('figure_enter_event', self, x, y, guiEvent)
self.callbacks.process('figure_enter_event', event)
def inaxes(self, xy):
"""
Check if a point is in an axes.
Parameters
----------
xy : tuple or list
(x,y) coordinates.
x position - pixels from left of canvas.
y position - pixels from bottom of canvas.
Returns
-------
axes: topmost axes containing the point, or None if no axes.
"""
axes_list = [a for a in self.figure.get_axes()
if a.patch.contains_point(xy)]
if axes_list:
axes = cbook._topmost_artist(axes_list)
else:
axes = None
return axes
def grab_mouse(self, ax):
"""
Set the child axes which are currently grabbing the mouse events.
Usually called by the widgets themselves.
It is an error to call this if the mouse is already grabbed by
another axes.
"""
if self.mouse_grabber not in (None, ax):
raise RuntimeError("Another Axes already grabs mouse input")
self.mouse_grabber = ax
def release_mouse(self, ax):
"""
Release the mouse grab held by the axes, ax.
Usually called by the widgets.
It is ok to call this even if you ax doesn't have the mouse
grab currently.
"""
if self.mouse_grabber is ax:
self.mouse_grabber = None
def draw(self, *args, **kwargs):
"""Render the :class:`~matplotlib.figure.Figure`."""
def draw_idle(self, *args, **kwargs):
"""
Request a widget redraw once control returns to the GUI event loop.
Even if multiple calls to `draw_idle` occur before control returns
to the GUI event loop, the figure will only be rendered once.
Notes
-----
Backends may choose to override the method and implement their own
strategy to prevent multiple renderings.
"""
if not self._is_idle_drawing:
with self._idle_draw_cntx():
self.draw(*args, **kwargs)
def draw_cursor(self, event):
"""
Draw a cursor in the event.axes if inaxes is not None. Use
native GUI drawing for efficiency if possible
"""
def get_width_height(self):
"""
Return the figure width and height in points or pixels
(depending on the backend), truncated to integers
"""
return int(self.figure.bbox.width), int(self.figure.bbox.height)
@classmethod
def get_supported_filetypes(cls):
"""Return dict of savefig file formats supported by this backend"""
return cls.filetypes
@classmethod
def get_supported_filetypes_grouped(cls):
"""Return a dict of savefig file formats supported by this backend,
where the keys are a file type name, such as 'Joint Photographic
Experts Group', and the values are a list of filename extensions used
for that filetype, such as ['jpg', 'jpeg']."""
groupings = {}
for ext, name in cls.filetypes.items():
groupings.setdefault(name, []).append(ext)
groupings[name].sort()
return groupings
def _get_output_canvas(self, fmt):
"""
Return a canvas suitable for saving figures to a specified file format.
If necessary, this function will switch to a registered backend that
supports the format.
"""
# Return the current canvas if it supports the requested format.
if hasattr(self, 'print_{}'.format(fmt)):
return self
# Return a default canvas for the requested format, if it exists.
canvas_class = get_registered_canvas_class(fmt)
if canvas_class:
return self.switch_backends(canvas_class)
# Else report error for unsupported format.
raise ValueError(
"Format {!r} is not supported (supported formats: {})"
.format(fmt, ", ".join(sorted(self.get_supported_filetypes()))))
def print_figure(self, filename, dpi=None, facecolor=None, edgecolor=None,
orientation='portrait', format=None,
*, bbox_inches=None, **kwargs):
"""
Render the figure to hardcopy. Set the figure patch face and edge
colors. This is useful because some of the GUIs have a gray figure
face color background and you'll probably want to override this on
hardcopy.
Parameters
----------
filename
can also be a file object on image backends
orientation : {'landscape', 'portrait'}, optional
only currently applies to PostScript printing.
dpi : scalar, optional
the dots per inch to save the figure in; if None, use savefig.dpi
facecolor : color or None, optional
the facecolor of the figure; if None, defaults to savefig.facecolor
edgecolor : color or None, optional
the edgecolor of the figure; if None, defaults to savefig.edgecolor
format : str, optional
when set, forcibly set the file format to save to
bbox_inches : str or `~matplotlib.transforms.Bbox`, optional
Bbox in inches. Only the given portion of the figure is
saved. If 'tight', try to figure out the tight bbox of
the figure. If None, use savefig.bbox
pad_inches : scalar, optional
Amount of padding around the figure when bbox_inches is
'tight'. If None, use savefig.pad_inches
bbox_extra_artists : list of `~matplotlib.artist.Artist`, optional
A list of extra artists that will be considered when the
tight bbox is calculated.
"""
if format is None:
# get format from filename, or from backend's default filetype
if isinstance(filename, os.PathLike):
filename = os.fspath(filename)
if isinstance(filename, str):
format = os.path.splitext(filename)[1][1:]
if format is None or format == '':
format = self.get_default_filetype()
if isinstance(filename, str):
filename = filename.rstrip('.') + '.' + format
format = format.lower()
# get canvas object and print method for format
canvas = self._get_output_canvas(format)
print_method = getattr(canvas, 'print_%s' % format)
if dpi is None:
dpi = rcParams['savefig.dpi']
if dpi == 'figure':
dpi = getattr(self.figure, '_original_dpi', self.figure.dpi)
# Remove the figure manager, if any, to avoid resizing the GUI widget.
# Some code (e.g. Figure.show) differentiates between having *no*
# manager and a *None* manager, which should be fixed at some point,
# but this should be fine.
with cbook._setattr_cm(self, _is_saving=True, manager=None), \
cbook._setattr_cm(self.figure, dpi=dpi):
if facecolor is None:
facecolor = rcParams['savefig.facecolor']
if edgecolor is None:
edgecolor = rcParams['savefig.edgecolor']
origfacecolor = self.figure.get_facecolor()
origedgecolor = self.figure.get_edgecolor()
self.figure.set_facecolor(facecolor)
self.figure.set_edgecolor(edgecolor)
if bbox_inches is None:
bbox_inches = rcParams['savefig.bbox']
if bbox_inches:
# call adjust_bbox to save only the given area
if bbox_inches == "tight":
# When bbox_inches == "tight", it saves the figure twice.
# The first save command (to a BytesIO) is just to estimate
# the bounding box of the figure.
result = print_method(
io.BytesIO(),
dpi=dpi,
facecolor=facecolor,
edgecolor=edgecolor,
orientation=orientation,
dryrun=True,
**kwargs)
renderer = self.figure._cachedRenderer
bbox_artists = kwargs.pop("bbox_extra_artists", None)
bbox_inches = self.figure.get_tightbbox(renderer,
bbox_extra_artists=bbox_artists)
pad = kwargs.pop("pad_inches", None)
if pad is None:
pad = rcParams['savefig.pad_inches']
bbox_inches = bbox_inches.padded(pad)
restore_bbox = tight_bbox.adjust_bbox(self.figure, bbox_inches,
canvas.fixed_dpi)
_bbox_inches_restore = (bbox_inches, restore_bbox)
else:
_bbox_inches_restore = None
try:
result = print_method(
filename,
dpi=dpi,
facecolor=facecolor,
edgecolor=edgecolor,
orientation=orientation,
bbox_inches_restore=_bbox_inches_restore,
**kwargs)
finally:
if bbox_inches and restore_bbox:
restore_bbox()
self.figure.set_facecolor(origfacecolor)
self.figure.set_edgecolor(origedgecolor)
self.figure.set_canvas(self)
return result
@classmethod
def get_default_filetype(cls):
"""
Get the default savefig file format as specified in rcParam
``savefig.format``. Returned string excludes period. Overridden
in backends that only support a single file type.
"""
return rcParams['savefig.format']
def get_window_title(self):
"""
Get the title text of the window containing the figure.
Return None if there is no window (e.g., a PS backend).
"""
if hasattr(self, "manager"):
return self.manager.get_window_title()
def set_window_title(self, title):
"""
Set the title text of the window containing the figure. Note that
this has no effect if there is no window (e.g., a PS backend).
"""
if hasattr(self, "manager"):
self.manager.set_window_title(title)
def get_default_filename(self):
"""
Return a string, which includes extension, suitable for use as
a default filename.
"""
default_basename = self.get_window_title() or 'image'
default_basename = default_basename.replace(' ', '_')
default_filetype = self.get_default_filetype()
default_filename = default_basename + '.' + default_filetype
return default_filename
def switch_backends(self, FigureCanvasClass):
"""
Instantiate an instance of FigureCanvasClass
This is used for backend switching, e.g., to instantiate a
FigureCanvasPS from a FigureCanvasGTK. Note, deep copying is
not done, so any changes to one of the instances (e.g., setting
figure size or line props), will be reflected in the other
"""
newCanvas = FigureCanvasClass(self.figure)
newCanvas._is_saving = self._is_saving
return newCanvas
def mpl_connect(self, s, func):
"""
Connect event with string *s* to *func*. The signature of *func* is::
def func(event)
where event is a :class:`matplotlib.backend_bases.Event`. The
following events are recognized
- 'button_press_event'
- 'button_release_event'
- 'draw_event'
- 'key_press_event'
- 'key_release_event'
- 'motion_notify_event'
- 'pick_event'
- 'resize_event'
- 'scroll_event'
- 'figure_enter_event',
- 'figure_leave_event',
- 'axes_enter_event',
- 'axes_leave_event'
- 'close_event'
For the location events (button and key press/release), if the
mouse is over the axes, the variable ``event.inaxes`` will be
set to the :class:`~matplotlib.axes.Axes` the event occurs is
over, and additionally, the variables ``event.xdata`` and
``event.ydata`` will be defined. This is the mouse location
in data coords. See
:class:`~matplotlib.backend_bases.KeyEvent` and
:class:`~matplotlib.backend_bases.MouseEvent` for more info.
Return value is a connection id that can be used with
:meth:`~matplotlib.backend_bases.Event.mpl_disconnect`.
Examples
--------
Usage::
def on_press(event):
print('you pressed', event.button, event.xdata, event.ydata)
cid = canvas.mpl_connect('button_press_event', on_press)
"""
return self.callbacks.connect(s, func)
def mpl_disconnect(self, cid):
"""
Disconnect callback id cid
Examples
--------
Usage::
cid = canvas.mpl_connect('button_press_event', on_press)
#...later
canvas.mpl_disconnect(cid)
"""
return self.callbacks.disconnect(cid)
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of
:class:`backend_bases.Timer`. This is useful for getting periodic
events through the backend's native event loop. Implemented only for
backends with GUIs.
Other Parameters
----------------
interval : scalar
Timer interval in milliseconds
callbacks : List[Tuple[callable, Tuple, Dict]]
Sequence of (func, args, kwargs) where ``func(*args, **kwargs)``
will be executed by the timer every *interval*.
callbacks which return ``False`` or ``0`` will be removed from the
timer.
Examples
--------
>>> timer = fig.canvas.new_timer(callbacks=[(f1, (1, ), {'a': 3}),])
"""
return TimerBase(*args, **kwargs)
def flush_events(self):
"""
Flush the GUI events for the figure.
Interactive backends need to reimplement this method.
"""
def start_event_loop(self, timeout=0):
"""Start a blocking event loop.
Such an event loop is used by interactive functions, such as `ginput`
and `waitforbuttonpress`, to wait for events.
The event loop blocks until a callback function triggers
`stop_event_loop`, or *timeout* is reached.
If *timeout* is negative, never timeout.
Only interactive backends need to reimplement this method and it relies
on `flush_events` being properly implemented.
Interactive backends should implement this in a more native way.
"""
if timeout <= 0:
timeout = np.inf
timestep = 0.01
counter = 0
self._looping = True
while self._looping and counter * timestep < timeout:
self.flush_events()
time.sleep(timestep)
counter += 1
def stop_event_loop(self):
"""Stop the current blocking event loop.
Interactive backends need to reimplement this to match
`start_event_loop`
"""
self._looping = False
def key_press_handler(event, canvas, toolbar=None):
"""
Implement the default mpl key bindings for the canvas and toolbar
described at :ref:`key-event-handling`
Parameters
----------
event : :class:`KeyEvent`
a key press/release event
canvas : :class:`FigureCanvasBase`
the backend-specific canvas instance
toolbar : :class:`NavigationToolbar2`
the navigation cursor toolbar
"""
# these bindings happen whether you are over an axes or not
if event.key is None:
return
# Load key-mappings from rcParams.
fullscreen_keys = rcParams['keymap.fullscreen']
home_keys = rcParams['keymap.home']
back_keys = rcParams['keymap.back']
forward_keys = rcParams['keymap.forward']
pan_keys = rcParams['keymap.pan']
zoom_keys = rcParams['keymap.zoom']
save_keys = rcParams['keymap.save']
quit_keys = rcParams['keymap.quit']
grid_keys = rcParams['keymap.grid']
grid_minor_keys = rcParams['keymap.grid_minor']
toggle_yscale_keys = rcParams['keymap.yscale']
toggle_xscale_keys = rcParams['keymap.xscale']
all_keys = rcParams['keymap.all_axes']
# toggle fullscreen mode ('f', 'ctrl + f')
if event.key in fullscreen_keys:
try:
canvas.manager.full_screen_toggle()
except AttributeError:
pass
# quit the figure (default key 'ctrl+w')
if event.key in quit_keys:
Gcf.destroy_fig(canvas.figure)
if toolbar is not None:
# home or reset mnemonic (default key 'h', 'home' and 'r')
if event.key in home_keys:
toolbar.home()
# forward / backward keys to enable left handed quick navigation
# (default key for backward: 'left', 'backspace' and 'c')
elif event.key in back_keys:
toolbar.back()
# (default key for forward: 'right' and 'v')
elif event.key in forward_keys:
toolbar.forward()
# pan mnemonic (default key 'p')
elif event.key in pan_keys:
toolbar.pan()
toolbar._set_cursor(event)
# zoom mnemonic (default key 'o')
elif event.key in zoom_keys:
toolbar.zoom()
toolbar._set_cursor(event)
# saving current figure (default key 's')
elif event.key in save_keys:
toolbar.save_figure()
if event.inaxes is None:
return
# these bindings require the mouse to be over an axes to trigger
def _get_uniform_gridstate(ticks):
# Return True/False if all grid lines are on or off, None if they are
# not all in the same state.
if all(tick.gridline.get_visible() for tick in ticks):
return True
elif not any(tick.gridline.get_visible() for tick in ticks):
return False
else:
return None
ax = event.inaxes
# toggle major grids in current axes (default key 'g')
# Both here and below (for 'G'), we do nothing if *any* grid (major or
# minor, x or y) is not in a uniform state, to avoid messing up user
# customization.
if (event.key in grid_keys
# Exclude minor grids not in a uniform state.
and None not in [_get_uniform_gridstate(ax.xaxis.minorTicks),
_get_uniform_gridstate(ax.yaxis.minorTicks)]):
x_state = _get_uniform_gridstate(ax.xaxis.majorTicks)
y_state = _get_uniform_gridstate(ax.yaxis.majorTicks)
cycle = [(False, False), (True, False), (True, True), (False, True)]
try:
x_state, y_state = (
cycle[(cycle.index((x_state, y_state)) + 1) % len(cycle)])
except ValueError:
# Exclude major grids not in a uniform state.
pass
else:
# If turning major grids off, also turn minor grids off.
ax.grid(x_state, which="major" if x_state else "both", axis="x")
ax.grid(y_state, which="major" if y_state else "both", axis="y")
canvas.draw_idle()
# toggle major and minor grids in current axes (default key 'G')
if (event.key in grid_minor_keys
# Exclude major grids not in a uniform state.
and None not in [_get_uniform_gridstate(ax.xaxis.majorTicks),
_get_uniform_gridstate(ax.yaxis.majorTicks)]):
x_state = _get_uniform_gridstate(ax.xaxis.minorTicks)
y_state = _get_uniform_gridstate(ax.yaxis.minorTicks)
cycle = [(False, False), (True, False), (True, True), (False, True)]
try:
x_state, y_state = (
cycle[(cycle.index((x_state, y_state)) + 1) % len(cycle)])
except ValueError:
# Exclude minor grids not in a uniform state.
pass
else:
ax.grid(x_state, which="both", axis="x")
ax.grid(y_state, which="both", axis="y")
canvas.draw_idle()
# toggle scaling of y-axes between 'log and 'linear' (default key 'l')
elif event.key in toggle_yscale_keys:
scale = ax.get_yscale()
if scale == 'log':
ax.set_yscale('linear')
ax.figure.canvas.draw_idle()
elif scale == 'linear':
try:
ax.set_yscale('log')
except ValueError as exc:
_log.warning(str(exc))
ax.set_yscale('linear')
ax.figure.canvas.draw_idle()
# toggle scaling of x-axes between 'log and 'linear' (default key 'k')
elif event.key in toggle_xscale_keys:
scalex = ax.get_xscale()
if scalex == 'log':
ax.set_xscale('linear')
ax.figure.canvas.draw_idle()
elif scalex == 'linear':
try:
ax.set_xscale('log')
except ValueError as exc:
_log.warning(str(exc))
ax.set_xscale('linear')
ax.figure.canvas.draw_idle()
# enable nagivation for all axes that contain the event (default key 'a')
elif event.key in all_keys:
for a in canvas.figure.get_axes():
if (event.x is not None and event.y is not None
and a.in_axes(event)): # FIXME: Why only these?
a.set_navigate(True)
# enable navigation only for axes with this index (if such an axes exist,
# otherwise do nothing)
elif event.key.isdigit() and event.key != '0':
n = int(event.key) - 1
if n < len(canvas.figure.get_axes()):
for i, a in enumerate(canvas.figure.get_axes()):
if (event.x is not None and event.y is not None
and a.in_axes(event)): # FIXME: Why only these?
a.set_navigate(i == n)
def button_press_handler(event, canvas, toolbar=None):
"""
The default Matplotlib button actions for extra mouse buttons.
"""
if toolbar is not None:
button_name = str(MouseButton(event.button))
if button_name in rcParams['keymap.back']:
toolbar.back()
elif button_name in rcParams['keymap.forward']:
toolbar.forward()
class NonGuiException(Exception):
pass
class FigureManagerBase(object):
"""
Helper class for pyplot mode, wraps everything up into a neat bundle
Attributes
----------
canvas : :class:`FigureCanvasBase`
The backend-specific canvas instance
num : int or str
The figure number
key_press_handler_id : int
The default key handler cid, when using the toolmanager.
To disable the default key press handling use::
figure.canvas.mpl_disconnect(
figure.canvas.manager.key_press_handler_id)
button_press_handler_id : int
The default mouse button handler cid, when using the toolmanager.
To disable the default button press handling use::
figure.canvas.mpl_disconnect(
figure.canvas.manager.button_press_handler_id)
"""
def __init__(self, canvas, num):
self.canvas = canvas
canvas.manager = self # store a pointer to parent
self.num = num
self.key_press_handler_id = None
self.button_press_handler_id = None
if rcParams['toolbar'] != 'toolmanager':
self.key_press_handler_id = self.canvas.mpl_connect(
'key_press_event',
self.key_press)
self.button_press_handler_id = self.canvas.mpl_connect(
'button_press_event',
self.button_press)
self.toolmanager = None
self.toolbar = None
@self.canvas.figure.add_axobserver
def notify_axes_change(fig):
# Called whenever the current axes is changed.
if self.toolmanager is None and self.toolbar is not None:
self.toolbar.update()
def show(self):
"""
For GUI backends, show the figure window and redraw.
For non-GUI backends, raise an exception to be caught
by :meth:`~matplotlib.figure.Figure.show`, for an
optional warning.
"""
raise NonGuiException()
def destroy(self):
pass
def full_screen_toggle(self):
pass
def resize(self, w, h):
""""For GUI backends, resize the window (in pixels)."""
def key_press(self, event):
"""
Implement the default mpl key bindings defined at
:ref:`key-event-handling`
"""
if rcParams['toolbar'] != 'toolmanager':
key_press_handler(event, self.canvas, self.canvas.toolbar)
def button_press(self, event):
"""
The default Matplotlib button actions for extra mouse buttons.
"""
if rcParams['toolbar'] != 'toolmanager':
button_press_handler(event, self.canvas, self.canvas.toolbar)
def get_window_title(self):
"""Get the title text of the window containing the figure.
Return None for non-GUI (e.g., PS) backends.
"""
return 'image'
def set_window_title(self, title):
"""Set the title text of the window containing the figure.
This has no effect for non-GUI (e.g., PS) backends.
"""
cursors = tools.cursors
class NavigationToolbar2(object):
"""
Base class for the navigation cursor, version 2
backends must implement a canvas that handles connections for
'button_press_event' and 'button_release_event'. See
:meth:`FigureCanvasBase.mpl_connect` for more information
They must also define
:meth:`save_figure`
save the current figure
:meth:`set_cursor`
if you want the pointer icon to change
:meth:`_init_toolbar`
create your toolbar widget
:meth:`draw_rubberband` (optional)
draw the zoom to rect "rubberband" rectangle
:meth:`press` (optional)
whenever a mouse button is pressed, you'll be notified with
the event
:meth:`release` (optional)
whenever a mouse button is released, you'll be notified with
the event
:meth:`set_message` (optional)
display message
:meth:`set_history_buttons` (optional)
you can change the history back / forward buttons to
indicate disabled / enabled state.
That's it, we'll do the rest!
"""
# list of toolitems to add to the toolbar, format is:
# (
# text, # the text of the button (often not visible to users)
# tooltip_text, # the tooltip shown on hover (where possible)
# image_file, # name of the image for the button (without the extension)
# name_of_method, # name of the method in NavigationToolbar2 to call
# )
toolitems = (
('Home', 'Reset original view', 'home', 'home'),
('Back', 'Back to previous view', 'back', 'back'),
('Forward', 'Forward to next view', 'forward', 'forward'),
(None, None, None, None),
('Pan', 'Pan axes with left mouse, zoom with right', 'move', 'pan'),
('Zoom', 'Zoom to rectangle', 'zoom_to_rect', 'zoom'),
('Subplots', 'Configure subplots', 'subplots', 'configure_subplots'),
(None, None, None, None),
('Save', 'Save the figure', 'filesave', 'save_figure'),
)
def __init__(self, canvas):
self.canvas = canvas
canvas.toolbar = self
self._nav_stack = cbook.Stack()
self._xypress = None # the location and axis info at the time
# of the press
self._idPress = None
self._idRelease = None
self._active = None
# This cursor will be set after the initial draw.
self._lastCursor = cursors.POINTER
self._init_toolbar()
self._idDrag = self.canvas.mpl_connect(
'motion_notify_event', self.mouse_move)
self._ids_zoom = []
self._zoom_mode = None
self._button_pressed = None # determined by the button pressed
# at start
self.mode = '' # a mode string for the status bar
self.set_history_buttons()
def set_message(self, s):
"""Display a message on toolbar or in status bar."""
def back(self, *args):
"""move back up the view lim stack"""
self._nav_stack.back()
self.set_history_buttons()
self._update_view()
def draw_rubberband(self, event, x0, y0, x1, y1):
"""Draw a rectangle rubberband to indicate zoom limits.
Note that it is not guaranteed that ``x0 <= x1`` and ``y0 <= y1``.
"""
def remove_rubberband(self):
"""Remove the rubberband."""
def forward(self, *args):
"""Move forward in the view lim stack."""
self._nav_stack.forward()
self.set_history_buttons()
self._update_view()
def home(self, *args):
"""Restore the original view."""
self._nav_stack.home()
self.set_history_buttons()
self._update_view()
def _init_toolbar(self):
"""
This is where you actually build the GUI widgets (called by
__init__). The icons ``home.xpm``, ``back.xpm``, ``forward.xpm``,
``hand.xpm``, ``zoom_to_rect.xpm`` and ``filesave.xpm`` are standard
across backends (there are ppm versions in CVS also).
You just need to set the callbacks
home : self.home
back : self.back
forward : self.forward
hand : self.pan
zoom_to_rect : self.zoom
filesave : self.save_figure
You only need to define the last one - the others are in the base
class implementation.
"""
raise NotImplementedError
def _set_cursor(self, event):
if not event.inaxes or not self._active:
if self._lastCursor != cursors.POINTER:
self.set_cursor(cursors.POINTER)
self._lastCursor = cursors.POINTER
else:
if (self._active == 'ZOOM'
and self._lastCursor != cursors.SELECT_REGION):
self.set_cursor(cursors.SELECT_REGION)
self._lastCursor = cursors.SELECT_REGION
elif (self._active == 'PAN' and
self._lastCursor != cursors.MOVE):
self.set_cursor(cursors.MOVE)
self._lastCursor = cursors.MOVE
def mouse_move(self, event):
self._set_cursor(event)
if event.inaxes and event.inaxes.get_navigate():
try:
s = event.inaxes.format_coord(event.xdata, event.ydata)
except (ValueError, OverflowError):
pass
else:
artists = [a for a in event.inaxes._mouseover_set
if a.contains(event)[0] and a.get_visible()]
if artists:
a = cbook._topmost_artist(artists)
if a is not event.inaxes.patch:
data = a.get_cursor_data(event)
if data is not None:
data_str = a.format_cursor_data(data)
if data_str is not None:
s = s + ' ' + data_str
if len(self.mode):
self.set_message('%s, %s' % (self.mode, s))
else:
self.set_message(s)
else:
self.set_message(self.mode)
def pan(self, *args):
"""Activate the pan/zoom tool. pan with left button, zoom with right"""
# set the pointer icon and button press funcs to the
# appropriate callbacks
if self._active == 'PAN':
self._active = None
else:
self._active = 'PAN'
if self._idPress is not None:
self._idPress = self.canvas.mpl_disconnect(self._idPress)
self.mode = ''
if self._idRelease is not None:
self._idRelease = self.canvas.mpl_disconnect(self._idRelease)
self.mode = ''
if self._active:
self._idPress = self.canvas.mpl_connect(
'button_press_event', self.press_pan)
self._idRelease = self.canvas.mpl_connect(
'button_release_event', self.release_pan)
self.mode = 'pan/zoom'
self.canvas.widgetlock(self)
else:
self.canvas.widgetlock.release(self)
for a in self.canvas.figure.get_axes():
a.set_navigate_mode(self._active)
self.set_message(self.mode)
def press(self, event):
"""Called whenever a mouse button is pressed."""
def press_pan(self, event):
"""Callback for mouse button press in pan/zoom mode."""
if event.button == 1:
self._button_pressed = 1
elif event.button == 3:
self._button_pressed = 3
else:
self._button_pressed = None
return
if self._nav_stack() is None:
# set the home button to this view
self.push_current()
x, y = event.x, event.y
self._xypress = []
for i, a in enumerate(self.canvas.figure.get_axes()):
if (x is not None and y is not None and a.in_axes(event) and
a.get_navigate() and a.can_pan()):
a.start_pan(x, y, event.button)
self._xypress.append((a, i))
self.canvas.mpl_disconnect(self._idDrag)
self._idDrag = self.canvas.mpl_connect('motion_notify_event',
self.drag_pan)
self.press(event)
def press_zoom(self, event):
"""Callback for mouse button press in zoom to rect mode."""
# If we're already in the middle of a zoom, pressing another
# button works to "cancel"
if self._ids_zoom != []:
for zoom_id in self._ids_zoom:
self.canvas.mpl_disconnect(zoom_id)
self.release(event)
self.draw()
self._xypress = None
self._button_pressed = None
self._ids_zoom = []
return
if event.button == 1:
self._button_pressed = 1
elif event.button == 3:
self._button_pressed = 3
else:
self._button_pressed = None
return
if self._nav_stack() is None:
# set the home button to this view
self.push_current()
x, y = event.x, event.y
self._xypress = []
for i, a in enumerate(self.canvas.figure.get_axes()):
if (x is not None and y is not None and a.in_axes(event) and
a.get_navigate() and a.can_zoom()):
self._xypress.append((x, y, a, i, a._get_view()))
id1 = self.canvas.mpl_connect('motion_notify_event', self.drag_zoom)
id2 = self.canvas.mpl_connect('key_press_event',
self._switch_on_zoom_mode)
id3 = self.canvas.mpl_connect('key_release_event',
self._switch_off_zoom_mode)
self._ids_zoom = id1, id2, id3
self._zoom_mode = event.key
self.press(event)
def _switch_on_zoom_mode(self, event):
self._zoom_mode = event.key
self.mouse_move(event)
def _switch_off_zoom_mode(self, event):
self._zoom_mode = None
self.mouse_move(event)
def push_current(self):
"""Push the current view limits and position onto the stack."""
self._nav_stack.push(
WeakKeyDictionary(
{ax: (ax._get_view(),
# Store both the original and modified positions.
(ax.get_position(True).frozen(),
ax.get_position().frozen()))
for ax in self.canvas.figure.axes}))
self.set_history_buttons()
def release(self, event):
"""Callback for mouse button release."""
def release_pan(self, event):
"""Callback for mouse button release in pan/zoom mode."""
if self._button_pressed is None:
return
self.canvas.mpl_disconnect(self._idDrag)
self._idDrag = self.canvas.mpl_connect(
'motion_notify_event', self.mouse_move)
for a, ind in self._xypress:
a.end_pan()
if not self._xypress:
return
self._xypress = []
self._button_pressed = None
self.push_current()
self.release(event)
self.draw()
def drag_pan(self, event):
"""Callback for dragging in pan/zoom mode."""
for a, ind in self._xypress:
#safer to use the recorded button at the press than current button:
#multiple button can get pressed during motion...
a.drag_pan(self._button_pressed, event.key, event.x, event.y)
self.canvas.draw_idle()
def drag_zoom(self, event):
"""Callback for dragging in zoom mode."""
if self._xypress:
x, y = event.x, event.y
lastx, lasty, a, ind, view = self._xypress[0]
(x1, y1), (x2, y2) = np.clip(
[[lastx, lasty], [x, y]], a.bbox.min, a.bbox.max)
if self._zoom_mode == "x":
y1, y2 = a.bbox.intervaly
elif self._zoom_mode == "y":
x1, x2 = a.bbox.intervalx
self.draw_rubberband(event, x1, y1, x2, y2)
def release_zoom(self, event):
"""Callback for mouse button release in zoom to rect mode."""
for zoom_id in self._ids_zoom:
self.canvas.mpl_disconnect(zoom_id)
self._ids_zoom = []
self.remove_rubberband()
if not self._xypress:
return
last_a = []
for cur_xypress in self._xypress:
x, y = event.x, event.y
lastx, lasty, a, ind, view = cur_xypress
# ignore singular clicks - 5 pixels is a threshold
# allows the user to "cancel" a zoom action
# by zooming by less than 5 pixels
if ((abs(x - lastx) < 5 and self._zoom_mode != "y") or
(abs(y - lasty) < 5 and self._zoom_mode != "x")):
self._xypress = None
self.release(event)
self.draw()
return
# detect twinx,y axes and avoid double zooming
twinx, twiny = False, False
if last_a:
for la in last_a:
if a.get_shared_x_axes().joined(a, la):
twinx = True
if a.get_shared_y_axes().joined(a, la):
twiny = True
last_a.append(a)
if self._button_pressed == 1:
direction = 'in'
elif self._button_pressed == 3:
direction = 'out'
else:
continue
a._set_view_from_bbox((lastx, lasty, x, y), direction,
self._zoom_mode, twinx, twiny)
self.draw()
self._xypress = None
self._button_pressed = None
self._zoom_mode = None
self.push_current()
self.release(event)
def draw(self):
"""Redraw the canvases, update the locators."""
for a in self.canvas.figure.get_axes():
xaxis = getattr(a, 'xaxis', None)
yaxis = getattr(a, 'yaxis', None)
locators = []
if xaxis is not None:
locators.append(xaxis.get_major_locator())
locators.append(xaxis.get_minor_locator())
if yaxis is not None:
locators.append(yaxis.get_major_locator())
locators.append(yaxis.get_minor_locator())
for loc in locators:
loc.refresh()
self.canvas.draw_idle()
def _update_view(self):
"""Update the viewlim and position from the view and
position stack for each axes.
"""
nav_info = self._nav_stack()
if nav_info is None:
return
# Retrieve all items at once to avoid any risk of GC deleting an Axes
# while in the middle of the loop below.
items = list(nav_info.items())
for ax, (view, (pos_orig, pos_active)) in items:
ax._set_view(view)
# Restore both the original and modified positions
ax._set_position(pos_orig, 'original')
ax._set_position(pos_active, 'active')
self.canvas.draw_idle()
def save_figure(self, *args):
"""Save the current figure."""
raise NotImplementedError
def set_cursor(self, cursor):
"""Set the current cursor to one of the :class:`Cursors` enums values.
If required by the backend, this method should trigger an update in
the backend event loop after the cursor is set, as this method may be
called e.g. before a long-running task during which the GUI is not
updated.
"""
def update(self):
"""Reset the axes stack."""
self._nav_stack.clear()
self.set_history_buttons()
def zoom(self, *args):
"""Activate zoom to rect mode."""
if self._active == 'ZOOM':
self._active = None
else:
self._active = 'ZOOM'
if self._idPress is not None:
self._idPress = self.canvas.mpl_disconnect(self._idPress)
self.mode = ''
if self._idRelease is not None:
self._idRelease = self.canvas.mpl_disconnect(self._idRelease)
self.mode = ''
if self._active:
self._idPress = self.canvas.mpl_connect('button_press_event',
self.press_zoom)
self._idRelease = self.canvas.mpl_connect('button_release_event',
self.release_zoom)
self.mode = 'zoom rect'
self.canvas.widgetlock(self)
else:
self.canvas.widgetlock.release(self)
for a in self.canvas.figure.get_axes():
a.set_navigate_mode(self._active)
self.set_message(self.mode)
def set_history_buttons(self):
"""Enable or disable the back/forward button."""
class ToolContainerBase(object):
"""
Base class for all tool containers, e.g. toolbars.
Attributes
----------
toolmanager : `ToolManager`
The tools with which this `ToolContainer` wants to communicate.
"""
_icon_extension = '.png'
"""
Toolcontainer button icon image format extension
**String**: Image extension
"""
def __init__(self, toolmanager):
self.toolmanager = toolmanager
self.toolmanager.toolmanager_connect('tool_removed_event',
self._remove_tool_cbk)
def _tool_toggled_cbk(self, event):
"""
Captures the 'tool_trigger_[name]'
This only gets used for toggled tools
"""
self.toggle_toolitem(event.tool.name, event.tool.toggled)
def add_tool(self, tool, group, position=-1):
"""
Adds a tool to this container
Parameters
----------
tool : tool_like
The tool to add, see `ToolManager.get_tool`.
group : str
The name of the group to add this tool to.
position : int (optional)
The position within the group to place this tool. Defaults to end.
"""
tool = self.toolmanager.get_tool(tool)
image = self._get_image_filename(tool.image)
toggle = getattr(tool, 'toggled', None) is not None
self.add_toolitem(tool.name, group, position,
image, tool.description, toggle)
if toggle:
self.toolmanager.toolmanager_connect('tool_trigger_%s' % tool.name,
self._tool_toggled_cbk)
# If initially toggled
if tool.toggled:
self.toggle_toolitem(tool.name, True)
def _remove_tool_cbk(self, event):
"""Captures the 'tool_removed_event' signal and removes the tool."""
self.remove_toolitem(event.tool.name)
def _get_image_filename(self, image):
"""Find the image based on its name."""
if not image:
return None
basedir = os.path.join(rcParams['datapath'], 'images')
possible_images = (
image,
image + self._icon_extension,
os.path.join(basedir, image),
os.path.join(basedir, image) + self._icon_extension)
for fname in possible_images:
if os.path.isfile(fname):
return fname
def trigger_tool(self, name):
"""
Trigger the tool
Parameters
----------
name : string
Name (id) of the tool triggered from within the container
"""
self.toolmanager.trigger_tool(name, sender=self)
def add_toolitem(self, name, group, position, image, description, toggle):
"""
Add a toolitem to the container
This method must get implemented per backend
The callback associated with the button click event,
must be **EXACTLY** `self.trigger_tool(name)`
Parameters
----------
name : string
Name of the tool to add, this gets used as the tool's ID and as the
default label of the buttons
group : String
Name of the group that this tool belongs to
position : Int
Position of the tool within its group, if -1 it goes at the End
image_file : String
Filename of the image for the button or `None`
description : String
Description of the tool, used for the tooltips
toggle : Bool
* `True` : The button is a toggle (change the pressed/unpressed
state between consecutive clicks)
* `False` : The button is a normal button (returns to unpressed
state after release)
"""
raise NotImplementedError
def toggle_toolitem(self, name, toggled):
"""
Toggle the toolitem without firing event
Parameters
----------
name : String
Id of the tool to toggle
toggled : bool
Whether to set this tool as toggled or not.
"""
raise NotImplementedError
def remove_toolitem(self, name):
"""
Remove a toolitem from the `ToolContainer`
This method must get implemented per backend
Called when `ToolManager` emits a `tool_removed_event`
Parameters
----------
name : string
Name of the tool to remove
"""
raise NotImplementedError
class StatusbarBase(object):
"""Base class for the statusbar"""
def __init__(self, toolmanager):
self.toolmanager = toolmanager
self.toolmanager.toolmanager_connect('tool_message_event',
self._message_cbk)
def _message_cbk(self, event):
"""Captures the 'tool_message_event' and set the message"""
self.set_message(event.message)
def set_message(self, s):
"""
Display a message on toolbar or in status bar
Parameters
----------
s : str
Message text
"""
pass
class _Backend(object):
# A backend can be defined by using the following pattern:
#
# @_Backend.export
# class FooBackend(_Backend):
# # override the attributes and methods documented below.
# Set to one of {"qt5", "qt4", "gtk3", "wx", "tk", "macosx"} if an
# interactive framework is required, or None otherwise.
required_interactive_framework = None
# `backend_version` may be overridden by the subclass.
backend_version = "unknown"
# The `FigureCanvas` class must be defined.
FigureCanvas = None
# For interactive backends, the `FigureManager` class must be overridden.
FigureManager = FigureManagerBase
# The following methods must be left as None for non-interactive backends.
# For interactive backends, `trigger_manager_draw` should be a function
# taking a manager as argument and triggering a canvas draw, and `mainloop`
# should be a function taking no argument and starting the backend main
# loop.
trigger_manager_draw = None
mainloop = None
# The following methods will be automatically defined and exported, but
# can be overridden.
@classmethod
def new_figure_manager(cls, num, *args, **kwargs):
"""Create a new figure manager instance.
"""
# This import needs to happen here due to circular imports.
from matplotlib.figure import Figure
fig_cls = kwargs.pop('FigureClass', Figure)
fig = fig_cls(*args, **kwargs)
return cls.new_figure_manager_given_figure(num, fig)
@classmethod
def new_figure_manager_given_figure(cls, num, figure):
"""Create a new figure manager instance for the given figure.
"""
canvas = cls.FigureCanvas(figure)
manager = cls.FigureManager(canvas, num)
return manager
@classmethod
def draw_if_interactive(cls):
if cls.trigger_manager_draw is not None and is_interactive():
manager = Gcf.get_active()
if manager:
cls.trigger_manager_draw(manager)
@classmethod
@cbook._make_keyword_only("3.1", "block")
def show(cls, block=None):
"""
Show all figures.
`show` blocks by calling `mainloop` if *block* is ``True``, or if it
is ``None`` and we are neither in IPython's ``%pylab`` mode, nor in
`interactive` mode.
"""
managers = Gcf.get_all_fig_managers()
if not managers:
return
for manager in managers:
# Emits a warning if the backend is non-interactive.
manager.canvas.figure.show()
if cls.mainloop is None:
return
if block is None:
# Hack: Are we in IPython's pylab mode?
from matplotlib import pyplot
try:
# IPython versions >= 0.10 tack the _needmain attribute onto
# pyplot.show, and always set it to False, when in %pylab mode.
ipython_pylab = not pyplot.show._needmain
except AttributeError:
ipython_pylab = False
block = not ipython_pylab and not is_interactive()
# TODO: The above is a hack to get the WebAgg backend working with
# ipython's `%pylab` mode until proper integration is implemented.
if get_backend() == "WebAgg":
block = True
if block:
cls.mainloop()
# This method is the one actually exporting the required methods.
@staticmethod
def export(cls):
for name in ["required_interactive_framework",
"backend_version",
"FigureCanvas",
"FigureManager",
"new_figure_manager",
"new_figure_manager_given_figure",
"draw_if_interactive",
"show"]:
setattr(sys.modules[cls.__module__], name, getattr(cls, name))
# For back-compatibility, generate a shim `Show` class.
class Show(ShowBase):
def mainloop(self):
return cls.mainloop()
setattr(sys.modules[cls.__module__], "Show", Show)
return cls
class ShowBase(_Backend):
"""
Simple base class to generate a show() callable in backends.
Subclass must override mainloop() method.
"""
def __call__(self, block=None):
return self.show(block=block)
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