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|
# coding: utf-8
# /*##########################################################################
#
# Copyright (c) 2004-2017 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# ###########################################################################*/
"""Matplotlib Plot backend."""
from __future__ import division
__authors__ = ["V.A. Sole", "T. Vincent, H. Payno"]
__license__ = "MIT"
__date__ = "16/08/2017"
import logging
import numpy
_logger = logging.getLogger(__name__)
from ... import qt
# First of all init matplotlib and set its backend
from ..matplotlib import Colormap as MPLColormap
from ..matplotlib import FigureCanvasQTAgg
import matplotlib
from matplotlib.container import Container
from matplotlib.figure import Figure
from matplotlib.patches import Rectangle, Polygon
from matplotlib.image import AxesImage
from matplotlib.backend_bases import MouseEvent
from matplotlib.lines import Line2D
from matplotlib.collections import PathCollection, LineCollection
from ..matplotlib.ModestImage import ModestImage
from . import BackendBase
from .._utils import FLOAT32_MINPOS
class BackendMatplotlib(BackendBase.BackendBase):
"""Base class for Matplotlib backend without a FigureCanvas.
For interactive on screen plot, see :class:`BackendMatplotlibQt`.
See :class:`BackendBase.BackendBase` for public API documentation.
"""
def __init__(self, plot, parent=None):
super(BackendMatplotlib, self).__init__(plot, parent)
# matplotlib is handling keep aspect ratio at draw time
# When keep aspect ratio is on, and one changes the limits and
# ask them *before* next draw has been performed he will get the
# limits without applying keep aspect ratio.
# This attribute is used to ensure consistent values returned
# when getting the limits at the expense of a replot
self._dirtyLimits = True
self._axesDisplayed = True
self.fig = Figure()
self.fig.set_facecolor("w")
self.ax = self.fig.add_axes([.15, .15, .75, .75], label="left")
self.ax2 = self.ax.twinx()
self.ax2.set_label("right")
# disable the use of offsets
try:
self.ax.get_yaxis().get_major_formatter().set_useOffset(False)
self.ax.get_xaxis().get_major_formatter().set_useOffset(False)
self.ax2.get_yaxis().get_major_formatter().set_useOffset(False)
self.ax2.get_xaxis().get_major_formatter().set_useOffset(False)
except:
_logger.warning('Cannot disabled axes offsets in %s ' \
% matplotlib.__version__)
# critical for picking!!!!
self.ax2.set_zorder(0)
self.ax2.set_autoscaley_on(True)
self.ax.set_zorder(1)
# this works but the figure color is left
if matplotlib.__version__[0] < '2':
self.ax.set_axis_bgcolor('none')
else:
self.ax.set_facecolor('none')
self.fig.sca(self.ax)
self._overlays = set()
self._background = None
self._colormaps = {}
self._graphCursor = tuple()
self.matplotlibVersion = matplotlib.__version__
self._enableAxis('right', False)
# Add methods
def addCurve(self, x, y, legend,
color, symbol, linewidth, linestyle,
yaxis,
xerror, yerror, z, selectable,
fill, alpha, symbolsize):
for parameter in (x, y, legend, color, symbol, linewidth, linestyle,
yaxis, z, selectable, fill, alpha, symbolsize):
assert parameter is not None
assert yaxis in ('left', 'right')
if (len(color) == 4 and
type(color[3]) in [type(1), numpy.uint8, numpy.int8]):
color = numpy.array(color, dtype=numpy.float) / 255.
if yaxis == "right":
axes = self.ax2
self._enableAxis("right", True)
else:
axes = self.ax
picker = 3 if selectable else None
artists = [] # All the artists composing the curve
# First add errorbars if any so they are behind the curve
if xerror is not None or yerror is not None:
if hasattr(color, 'dtype') and len(color) == len(x):
errorbarColor = 'k'
else:
errorbarColor = color
# On Debian 7 at least, Nx1 array yerr does not seems supported
if (isinstance(yerror, numpy.ndarray) and yerror.ndim == 2 and
yerror.shape[1] == 1 and len(x) != 1):
yerror = numpy.ravel(yerror)
errorbars = axes.errorbar(x, y, label=legend,
xerr=xerror, yerr=yerror,
linestyle=' ', color=errorbarColor)
artists += list(errorbars.get_children())
if hasattr(color, 'dtype') and len(color) == len(x):
# scatter plot
if color.dtype not in [numpy.float32, numpy.float]:
actualColor = color / 255.
else:
actualColor = color
if linestyle not in ["", " ", None]:
# scatter plot with an actual line ...
# we need to assign a color ...
curveList = axes.plot(x, y, label=legend,
linestyle=linestyle,
color=actualColor[0],
linewidth=linewidth,
picker=picker,
marker=None)
artists += list(curveList)
scatter = axes.scatter(x, y,
label=legend,
color=actualColor,
marker=symbol,
picker=picker,
s=symbolsize)
artists.append(scatter)
if fill:
artists.append(axes.fill_between(
x, FLOAT32_MINPOS, y, facecolor=actualColor[0], linestyle=''))
else: # Curve
curveList = axes.plot(x, y,
label=legend,
linestyle=linestyle,
color=color,
linewidth=linewidth,
marker=symbol,
picker=picker,
markersize=symbolsize)
artists += list(curveList)
if fill:
artists.append(
axes.fill_between(x, FLOAT32_MINPOS, y, facecolor=color))
for artist in artists:
artist.set_zorder(z)
if alpha < 1:
artist.set_alpha(alpha)
return Container(artists)
def addImage(self, data, legend,
origin, scale, z,
selectable, draggable,
colormap, alpha):
# Non-uniform image
# http://wiki.scipy.org/Cookbook/Histograms
# Non-linear axes
# http://stackoverflow.com/questions/11488800/non-linear-axes-for-imshow-in-matplotlib
for parameter in (data, legend, origin, scale, z,
selectable, draggable):
assert parameter is not None
origin = float(origin[0]), float(origin[1])
scale = float(scale[0]), float(scale[1])
height, width = data.shape[0:2]
picker = (selectable or draggable)
# Debian 7 specific support
# No transparent colormap with matplotlib < 1.2.0
# Add support for transparent colormap for uint8 data with
# colormap with 256 colors, linear norm, [0, 255] range
if matplotlib.__version__ < '1.2.0':
if (len(data.shape) == 2 and colormap.getName() is None and
colormap.getColormapLUT() is not None):
colors = colormap.getColormapLUT()
if (colors.shape[-1] == 4 and
not numpy.all(numpy.equal(colors[3], 255))):
# This is a transparent colormap
if (colors.shape == (256, 4) and
colormap.getNormalization() == 'linear' and
not colormap.isAutoscale() and
colormap.getVMin() == 0 and
colormap.getVMax() == 255 and
data.dtype == numpy.uint8):
# Supported case, convert data to RGBA
data = colors[data.reshape(-1)].reshape(
data.shape + (4,))
else:
_logger.warning(
'matplotlib %s does not support transparent '
'colormap.', matplotlib.__version__)
if ((height * width) > 5.0e5 and
origin == (0., 0.) and scale == (1., 1.)):
imageClass = ModestImage
else:
imageClass = AxesImage
# the normalization can be a source of time waste
# Two possibilities, we receive data or a ready to show image
if len(data.shape) == 3: # RGBA image
image = imageClass(self.ax,
label="__IMAGE__" + legend,
interpolation='nearest',
picker=picker,
zorder=z,
origin='lower')
else:
# Convert colormap argument to matplotlib colormap
scalarMappable = MPLColormap.getScalarMappable(colormap, data)
# try as data
image = imageClass(self.ax,
label="__IMAGE__" + legend,
interpolation='nearest',
cmap=scalarMappable.cmap,
picker=picker,
zorder=z,
norm=scalarMappable.norm,
origin='lower')
if alpha < 1:
image.set_alpha(alpha)
# Set image extent
xmin = origin[0]
xmax = xmin + scale[0] * width
if scale[0] < 0.:
xmin, xmax = xmax, xmin
ymin = origin[1]
ymax = ymin + scale[1] * height
if scale[1] < 0.:
ymin, ymax = ymax, ymin
image.set_extent((xmin, xmax, ymin, ymax))
# Set image data
if scale[0] < 0. or scale[1] < 0.:
# For negative scale, step by -1
xstep = 1 if scale[0] >= 0. else -1
ystep = 1 if scale[1] >= 0. else -1
data = data[::ystep, ::xstep]
image.set_data(data)
self.ax.add_artist(image)
return image
def addItem(self, x, y, legend, shape, color, fill, overlay, z):
xView = numpy.array(x, copy=False)
yView = numpy.array(y, copy=False)
if shape == "line":
item = self.ax.plot(x, y, label=legend, color=color,
linestyle='-', marker=None)[0]
elif shape == "hline":
if hasattr(y, "__len__"):
y = y[-1]
item = self.ax.axhline(y, label=legend, color=color)
elif shape == "vline":
if hasattr(x, "__len__"):
x = x[-1]
item = self.ax.axvline(x, label=legend, color=color)
elif shape == 'rectangle':
xMin = numpy.nanmin(xView)
xMax = numpy.nanmax(xView)
yMin = numpy.nanmin(yView)
yMax = numpy.nanmax(yView)
w = xMax - xMin
h = yMax - yMin
item = Rectangle(xy=(xMin, yMin),
width=w,
height=h,
fill=False,
color=color)
if fill:
item.set_hatch('.')
self.ax.add_patch(item)
elif shape in ('polygon', 'polylines'):
xView = xView.reshape(1, -1)
yView = yView.reshape(1, -1)
item = Polygon(numpy.vstack((xView, yView)).T,
closed=(shape == 'polygon'),
fill=False,
label=legend,
color=color)
if fill and shape == 'polygon':
item.set_hatch('/')
self.ax.add_patch(item)
else:
raise NotImplementedError("Unsupported item shape %s" % shape)
item.set_zorder(z)
if overlay:
item.set_animated(True)
self._overlays.add(item)
return item
def addMarker(self, x, y, legend, text, color,
selectable, draggable,
symbol, constraint, overlay):
legend = "__MARKER__" + legend
if x is not None and y is not None:
line = self.ax.plot(x, y, label=legend,
linestyle=" ",
color=color,
marker=symbol,
markersize=10.)[-1]
if text is not None:
xtmp, ytmp = self.ax.transData.transform_point((x, y))
inv = self.ax.transData.inverted()
xtmp, ytmp = inv.transform_point((xtmp, ytmp))
if symbol is None:
valign = 'baseline'
else:
valign = 'top'
text = " " + text
line._infoText = self.ax.text(x, ytmp, text,
color=color,
horizontalalignment='left',
verticalalignment=valign)
elif x is not None:
line = self.ax.axvline(x, label=legend, color=color)
if text is not None:
text = " " + text
ymin, ymax = self.getGraphYLimits(axis='left')
delta = abs(ymax - ymin)
if ymin > ymax:
ymax = ymin
ymax -= 0.005 * delta
line._infoText = self.ax.text(x, ymax, text,
color=color,
horizontalalignment='left',
verticalalignment='top')
elif y is not None:
line = self.ax.axhline(y, label=legend, color=color)
if text is not None:
text = " " + text
xmin, xmax = self.getGraphXLimits()
delta = abs(xmax - xmin)
if xmin > xmax:
xmax = xmin
xmax -= 0.005 * delta
line._infoText = self.ax.text(xmax, y, text,
color=color,
horizontalalignment='right',
verticalalignment='top')
else:
raise RuntimeError('A marker must at least have one coordinate')
if selectable or draggable:
line.set_picker(5)
if overlay:
line.set_animated(True)
self._overlays.add(line)
return line
# Remove methods
def remove(self, item):
# Warning: It also needs to remove extra stuff if added as for markers
if hasattr(item, "_infoText"): # For markers text
item._infoText.remove()
item._infoText = None
self._overlays.discard(item)
try:
item.remove()
except ValueError:
pass # Already removed e.g., in set[X|Y]AxisLogarithmic
# Interaction methods
def setGraphCursor(self, flag, color, linewidth, linestyle):
if flag:
lineh = self.ax.axhline(
self.ax.get_ybound()[0], visible=False, color=color,
linewidth=linewidth, linestyle=linestyle)
lineh.set_animated(True)
linev = self.ax.axvline(
self.ax.get_xbound()[0], visible=False, color=color,
linewidth=linewidth, linestyle=linestyle)
linev.set_animated(True)
self._graphCursor = lineh, linev
else:
if self._graphCursor is not None:
lineh, linev = self._graphCursor
lineh.remove()
linev.remove()
self._graphCursor = tuple()
# Active curve
def setCurveColor(self, curve, color):
# Store Line2D and PathCollection
for artist in curve.get_children():
if isinstance(artist, (Line2D, LineCollection)):
artist.set_color(color)
elif isinstance(artist, PathCollection):
artist.set_facecolors(color)
artist.set_edgecolors(color)
else:
_logger.warning(
'setActiveCurve ignoring artist %s', str(artist))
# Misc.
def getWidgetHandle(self):
return self.fig.canvas
def _enableAxis(self, axis, flag=True):
"""Show/hide Y axis
:param str axis: Axis name: 'left' or 'right'
:param bool flag: Default, True
"""
assert axis in ('right', 'left')
axes = self.ax2 if axis == 'right' else self.ax
axes.get_yaxis().set_visible(flag)
def replot(self):
"""Do not perform rendering.
Override in subclass to actually draw something.
"""
# TODO images, markers? scatter plot? move in remove?
# Right Y axis only support curve for now
# Hide right Y axis if no line is present
self._dirtyLimits = False
if not self.ax2.lines:
self._enableAxis('right', False)
def saveGraph(self, fileName, fileFormat, dpi):
# fileName can be also a StringIO or file instance
if dpi is not None:
self.fig.savefig(fileName, format=fileFormat, dpi=dpi)
else:
self.fig.savefig(fileName, format=fileFormat)
self._plot._setDirtyPlot()
# Graph labels
def setGraphTitle(self, title):
self.ax.set_title(title)
def setGraphXLabel(self, label):
self.ax.set_xlabel(label)
def setGraphYLabel(self, label, axis):
axes = self.ax if axis == 'left' else self.ax2
axes.set_ylabel(label)
# Graph limits
def setLimits(self, xmin, xmax, ymin, ymax, y2min=None, y2max=None):
# Let matplotlib taking care of keep aspect ratio if any
self._dirtyLimits = True
self.ax.set_xlim(min(xmin, xmax), max(xmin, xmax))
if y2min is not None and y2max is not None:
if not self.isYAxisInverted():
self.ax2.set_ylim(min(y2min, y2max), max(y2min, y2max))
else:
self.ax2.set_ylim(max(y2min, y2max), min(y2min, y2max))
if not self.isYAxisInverted():
self.ax.set_ylim(min(ymin, ymax), max(ymin, ymax))
else:
self.ax.set_ylim(max(ymin, ymax), min(ymin, ymax))
def getGraphXLimits(self):
if self._dirtyLimits and self.isKeepDataAspectRatio():
self.replot() # makes sure we get the right limits
return self.ax.get_xbound()
def setGraphXLimits(self, xmin, xmax):
self._dirtyLimits = True
self.ax.set_xlim(min(xmin, xmax), max(xmin, xmax))
def getGraphYLimits(self, axis):
assert axis in ('left', 'right')
ax = self.ax2 if axis == 'right' else self.ax
if not ax.get_visible():
return None
if self._dirtyLimits and self.isKeepDataAspectRatio():
self.replot() # makes sure we get the right limits
return ax.get_ybound()
def setGraphYLimits(self, ymin, ymax, axis):
ax = self.ax2 if axis == 'right' else self.ax
if ymax < ymin:
ymin, ymax = ymax, ymin
self._dirtyLimits = True
if self.isKeepDataAspectRatio():
# matplotlib keeps limits of shared axis when keeping aspect ratio
# So x limits are kept when changing y limits....
# Change x limits first by taking into account aspect ratio
# and then change y limits.. so matplotlib does not need
# to make change (to y) to keep aspect ratio
xmin, xmax = ax.get_xbound()
curYMin, curYMax = ax.get_ybound()
newXRange = (xmax - xmin) * (ymax - ymin) / (curYMax - curYMin)
xcenter = 0.5 * (xmin + xmax)
ax.set_xlim(xcenter - 0.5 * newXRange, xcenter + 0.5 * newXRange)
if not self.isYAxisInverted():
ax.set_ylim(ymin, ymax)
else:
ax.set_ylim(ymax, ymin)
# Graph axes
def setXAxisLogarithmic(self, flag):
if matplotlib.__version__ >= "2.0.0":
self.ax.cla()
self.ax2.cla()
self.ax2.set_xscale('log' if flag else 'linear')
self.ax.set_xscale('log' if flag else 'linear')
def setYAxisLogarithmic(self, flag):
if matplotlib.__version__ >= "2.0.0":
self.ax.cla()
self.ax2.cla()
self.ax2.set_yscale('log' if flag else 'linear')
self.ax.set_yscale('log' if flag else 'linear')
def setYAxisInverted(self, flag):
if self.ax.yaxis_inverted() != bool(flag):
self.ax.invert_yaxis()
def isYAxisInverted(self):
return self.ax.yaxis_inverted()
def isKeepDataAspectRatio(self):
return self.ax.get_aspect() in (1.0, 'equal')
def setKeepDataAspectRatio(self, flag):
self.ax.set_aspect(1.0 if flag else 'auto')
self.ax2.set_aspect(1.0 if flag else 'auto')
def setGraphGrid(self, which):
self.ax.grid(False, which='both') # Disable all grid first
if which is not None:
self.ax.grid(True, which=which)
# Data <-> Pixel coordinates conversion
def dataToPixel(self, x, y, axis):
ax = self.ax2 if axis == "right" else self.ax
pixels = ax.transData.transform_point((x, y))
xPixel, yPixel = pixels.T
return xPixel, yPixel
def pixelToData(self, x, y, axis, check):
ax = self.ax2 if axis == "right" else self.ax
inv = ax.transData.inverted()
x, y = inv.transform_point((x, y))
if check:
xmin, xmax = self.getGraphXLimits()
ymin, ymax = self.getGraphYLimits(axis=axis)
if x > xmax or x < xmin or y > ymax or y < ymin:
return None # (x, y) is out of plot area
return x, y
def getPlotBoundsInPixels(self):
bbox = self.ax.get_window_extent().transformed(
self.fig.dpi_scale_trans.inverted())
dpi = self.fig.dpi
# Warning this is not returning int...
return (bbox.bounds[0] * dpi, bbox.bounds[1] * dpi,
bbox.bounds[2] * dpi, bbox.bounds[3] * dpi)
def setAxesDisplayed(self, displayed):
"""Display or not the axes.
:param bool displayed: If `True` axes are displayed. If `False` axes
are not anymore visible and the margin used for them is removed.
"""
BackendBase.BackendBase.setAxesDisplayed(self, displayed)
if displayed:
# show axes and viewbox rect
self.ax.set_axis_on()
self.ax2.set_axis_on()
# set the default margins
self.ax.set_position([.15, .15, .75, .75])
self.ax2.set_position([.15, .15, .75, .75])
else:
# hide axes and viewbox rect
self.ax.set_axis_off()
self.ax2.set_axis_off()
# remove external margins
self.ax.set_position([0, 0, 1, 1])
self.ax2.set_position([0, 0, 1, 1])
self._plot._setDirtyPlot()
class BackendMatplotlibQt(FigureCanvasQTAgg, BackendMatplotlib):
"""QWidget matplotlib backend using a QtAgg canvas.
It adds fast overlay drawing and mouse event management.
"""
_sigPostRedisplay = qt.Signal()
"""Signal handling automatic asynchronous replot"""
def __init__(self, plot, parent=None):
self._insideResizeEventMethod = False
BackendMatplotlib.__init__(self, plot, parent)
FigureCanvasQTAgg.__init__(self, self.fig)
self.setParent(parent)
FigureCanvasQTAgg.setSizePolicy(
self, qt.QSizePolicy.Expanding, qt.QSizePolicy.Expanding)
FigureCanvasQTAgg.updateGeometry(self)
# Make postRedisplay asynchronous using Qt signal
self._sigPostRedisplay.connect(
super(BackendMatplotlibQt, self).postRedisplay,
qt.Qt.QueuedConnection)
self._picked = None
self.mpl_connect('button_press_event', self._onMousePress)
self.mpl_connect('button_release_event', self._onMouseRelease)
self.mpl_connect('motion_notify_event', self._onMouseMove)
self.mpl_connect('scroll_event', self._onMouseWheel)
def contextMenuEvent(self, event):
"""Override QWidget.contextMenuEvent to implement the context menu"""
# Makes sure it is overridden (issue with PySide)
BackendBase.BackendBase.contextMenuEvent(self, event)
def postRedisplay(self):
self._sigPostRedisplay.emit()
# Mouse event forwarding
_MPL_TO_PLOT_BUTTONS = {1: 'left', 2: 'middle', 3: 'right'}
def _onMousePress(self, event):
self._plot.onMousePress(
event.x, event.y, self._MPL_TO_PLOT_BUTTONS[event.button])
def _onMouseMove(self, event):
if self._graphCursor:
lineh, linev = self._graphCursor
if event.inaxes != self.ax and lineh.get_visible():
lineh.set_visible(False)
linev.set_visible(False)
self._plot._setDirtyPlot(overlayOnly=True)
else:
linev.set_visible(True)
linev.set_xdata((event.xdata, event.xdata))
lineh.set_visible(True)
lineh.set_ydata((event.ydata, event.ydata))
self._plot._setDirtyPlot(overlayOnly=True)
# onMouseMove must trigger replot if dirty flag is raised
self._plot.onMouseMove(event.x, event.y)
def _onMouseRelease(self, event):
self._plot.onMouseRelease(
event.x, event.y, self._MPL_TO_PLOT_BUTTONS[event.button])
def _onMouseWheel(self, event):
self._plot.onMouseWheel(event.x, event.y, event.step)
def leaveEvent(self, event):
"""QWidget event handler"""
self._plot.onMouseLeaveWidget()
# picking
def _onPick(self, event):
# TODO not very nice and fragile, find a better way?
# Make a selection according to kind
if self._picked is None:
_logger.error('Internal picking error')
return
label = event.artist.get_label()
if label.startswith('__MARKER__'):
self._picked.append({'kind': 'marker', 'legend': label[10:]})
elif label.startswith('__IMAGE__'):
self._picked.append({'kind': 'image', 'legend': label[9:]})
else: # it's a curve, item have no picker for now
if not isinstance(event.artist, (PathCollection, Line2D)):
_logger.info('Unsupported artist, ignored')
return
self._picked.append({'kind': 'curve', 'legend': label,
'indices': event.ind})
def pickItems(self, x, y):
self._picked = []
# Weird way to do an explicit picking: Simulate a button press event
mouseEvent = MouseEvent('button_press_event', self, x, y)
cid = self.mpl_connect('pick_event', self._onPick)
self.fig.pick(mouseEvent)
self.mpl_disconnect(cid)
picked = self._picked
self._picked = None
return picked
# replot control
def resizeEvent(self, event):
self._insideResizeEventMethod = True
# Need to dirty the whole plot on resize.
self._plot._setDirtyPlot()
FigureCanvasQTAgg.resizeEvent(self, event)
self._insideResizeEventMethod = False
def draw(self):
"""Override canvas draw method to support faster draw of overlays."""
if self._plot._getDirtyPlot(): # Need a full redraw
# Store previous limits
xLimits = self.ax.get_xbound()
yLimits = self.ax.get_ybound()
yRightLimits = self.ax2.get_ybound()
FigureCanvasQTAgg.draw(self)
self._background = None # Any saved background is dirty
# Check if limits changed due to a resize of the widget
if xLimits != self.ax.get_xbound():
self._plot.getXAxis()._emitLimitsChanged()
if yLimits != self.ax.get_ybound():
self._plot.getYAxis(axis='left')._emitLimitsChanged()
if yRightLimits != self.ax2.get_ybound():
self._plot.getYAxis(axis='left')._emitLimitsChanged()
if (self._overlays or self._graphCursor or
self._plot._getDirtyPlot() == 'overlay'):
# There are overlays or crosshair, or they is just no more overlays
# Specific case: called from resizeEvent:
# avoid store/restore background, just draw the overlay
if not self._insideResizeEventMethod:
if self._background is None: # First store the background
self._background = self.copy_from_bbox(self.fig.bbox)
self.restore_region(self._background)
# This assume that items are only on left/bottom Axes
for item in self._overlays:
self.ax.draw_artist(item)
for item in self._graphCursor:
self.ax.draw_artist(item)
self.blit(self.fig.bbox)
def replot(self):
BackendMatplotlib.replot(self)
self.draw()
# cursor
_QT_CURSORS = {
None: qt.Qt.ArrowCursor,
BackendBase.CURSOR_DEFAULT: qt.Qt.ArrowCursor,
BackendBase.CURSOR_POINTING: qt.Qt.PointingHandCursor,
BackendBase.CURSOR_SIZE_HOR: qt.Qt.SizeHorCursor,
BackendBase.CURSOR_SIZE_VER: qt.Qt.SizeVerCursor,
BackendBase.CURSOR_SIZE_ALL: qt.Qt.SizeAllCursor,
}
def setGraphCursorShape(self, cursor):
cursor = self._QT_CURSORS[cursor]
FigureCanvasQTAgg.setCursor(self, qt.QCursor(cursor))
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