def open_figure(self, fig, props):
"""
Begin commands for a particular figure.
Parameters
----------
fig : matplotlib.Figure
The Figure which will contain the ensuing axes and elements
props : dictionary
The dictionary of figure properties
"""
self.canvas = PlotCanvas()
def create_widgets(self):
'''create widgets on main window'''
self.label_ts_m = QLabel("Transmission spectrum of material", self)
self.label_ts_m.move(10, 10)
self.textbox_ts_m = PathTextBox(self)
self.textbox_ts_m.setFixedWidth(400)
self.textbox_ts_m.move(10, 30)
self.label_bg_m = QLabel("Back ground spectrum of material", self)
self.label_bg_m.move(10, 60)
self.textbox_bg_m = PathTextBox(self)
self.textbox_bg_m.setFixedWidth(400)
self.textbox_bg_m.move(10, 80)
self.label_ts_r = QLabel("Transmission spectrum of reference", self)
self.label_ts_r.move(10, 110)
self.textbox_ts_r = PathTextBox(self)
self.textbox_ts_r.setFixedWidth(400)
self.textbox_ts_r.move(10, 130)
self.label_bg_r = QLabel("Back ground spectrum of reference", self)
self.label_bg_r.move(10, 160)
self.textbox_bg_r = PathTextBox(self)
self.textbox_bg_r.setFixedWidth(400)
self.textbox_bg_r.move(10, 180)
self.pbutton_calc = QPushButton("calc", self)
self.pbutton_calc.move(10, 210)
self.pbutton_calc.clicked.connect(self.go_calc)
self.plot_canvas = PlotCanvas(self, 3, 2.5)
self.plot_canvas.move(420, 0)
self.pbutton_save = QPushButton("save", self)
self.pbutton_save.move(130, 210)
self.pbutton_save.clicked.connect(self.save_fig)
# WARNING/TODO: put the different sets of uniforms and put them in attributes instead
for n, v in self._U[0].iteritems():
self._program[n] = v
self._program['tr_scale'] = self._parent.panzoom.scale[:2]
self._program['u_dash_atlas'] = gloo.Texture2D(self._collec.da._data)
width, height = self.width, self.height
self._program['u_scale'] = width // 2, height // 2
self._program['u_proj'] = orthographic(-width // 2, width // 2,
-height // 2, height // 2, -1,
+1)
self._program.draw('triangles', indices=self.index)
if __name__ == '__main__':
ax = PlotCanvas(size=(600, 600))
x = np.linspace(-1., 1., 1000)
y = .25 * np.sin(15 * x)
vertices1 = np.c_[x, y]
vertices2 = np.c_[np.cos(3 * x) * .5, np.sin(3 * x) * .5]
ax.line = LineAggVisual(paths=[vertices1, vertices2],
style=[
dict(color=(1., 0., 0., 1.)),
dict(color=(0., 1., 0., 1.)),
])
ax.show()
