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a5d42a3940
This allows the viewer to use either PyQt4 or PySide as the toolkit.
41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
import numpy as np
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from ..qt import QtGui
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from ..utils import new_plot
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from .base import Plugin
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__all__ = ['PlotPlugin']
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class PlotPlugin(Plugin):
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"""Plugin for ImageViewer that contains a plot canvas.
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Base class for plugins that contain a Matplotlib plot canvas, which can,
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for example, display an image histogram.
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See base Plugin class for additional details.
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"""
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def attach(self, image_viewer):
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super(PlotPlugin, self).attach(image_viewer)
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# Add plot for displaying intensity profile.
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self.add_plot()
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def redraw(self):
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"""Redraw plot."""
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self.canvas.draw_idle()
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def add_plot(self, height=4, width=4):
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self.fig, self.ax = new_plot(figsize=(height, width))
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self.canvas = self.fig.canvas
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self.canvas.setMinimumHeight(150)
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#TODO: Converted color is slightly different than Qt background.
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qpalette = QtGui.QPalette()
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qcolor = qpalette.color(QtGui.QPalette.Window)
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bgcolor = qcolor.toRgb().value()
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if np.isscalar(bgcolor):
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bgcolor = str(bgcolor / 255.)
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self.fig.patch.set_facecolor(bgcolor)
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self.layout.addWidget(self.canvas, self.row, 0)
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