def update(self, img_data):
# Calculate and update ROI statistics.
roi = img_data[self.cam.roi[1]:self.cam.roi[3],
self.cam.roi[0]:self.cam.roi[2]]
#np.save('roi.npy', roi) # for debugging
try:
self.roiTotalLbl.setText('%.0f' % np.sum(roi))
self.roiMeanLbl.setText('%.2f' % np.mean(roi))
self.roiMaxLbl.setText('%.0f' % np.max(roi))
self.roiMinLbl.setText('%.0f' % np.min(roi))
except:
print("self.cam.roi:", self.cam.roi)
print("roi:", roi)
print("img_data:", img_data)
# ROI histogram plot
h_plot = self.roiHistWidget.get_plot()
h_plot.del_all_items(except_grid=True)
hist = make.histogram(roi.flatten(), 50)
h_plot.add_item(hist)
#print(hist.get_data())
h_plot.set_plot_limits(0, self.xHistLimBox.value(), 0,
self.yHistLimBox.value())
h_plot.set_item_visible(hist, True)
# Display ROI coordinates
roi = self.cam.roi
self.roiX1Lbl.setNum(roi[0])
self.roiY1Lbl.setNum(roi[1])
self.roiX2Lbl.setNum(roi[2])
self.roiY2Lbl.setNum(roi[3])
def hist(data): """Plots histogram""" win = CurveDialog(edit=False, toolbar=True, wintitle="Histogram test") plot = win.get_plot() plot.add_item(make.histogram(data)) win.show() win.exec_()
def test():
"""Test"""
from numpy.random import normal
data = normal(0, 1, (2000, ))
win = CurveDialog(edit=False, toolbar=True, wintitle="Histogram test")
plot = win.get_plot()
plot.add_item(make.histogram(data))
win.show()
win.exec_()
def test():
"""Test"""
from numpy.random import normal
data = normal(0, 1, (2000, ))
win = CurveDialog(edit=False, toolbar=True, wintitle="Histogram test")
plot = win.get_plot()
plot.add_item(make.histogram(data))
win.show()
win.exec_()
def hist(data, bins=None, logscale=None, title=None, color=None):
"""
Plot 1-D histogram
Example:
from numpy.random import normal
data = normal(0, 1, (2000, ))
hist(data)
show()
"""
axe = gca()
curve = make.histogram(data, bins=bins, logscale=logscale,
title=title, color=color, yaxis='left')
axe.add_plot(curve)
_show_if_interactive()
return [curve]
def hist(data, bins=None, logscale=None, title=None, color=None):
"""
Plot 1-D histogram
Example::
from numpy.random import normal
data = normal(0, 1, (2000, ))
hist(data)
show()
"""
axe = gca()
curve = make.histogram(
data, bins=bins, logscale=logscale, title=title, color=color, yaxis="left"
)
axe.add_plot(curve)
_show_if_interactive()
return [curve]
def __init__(self, fit):
Plot.__init__(self, fit)
self.layout = QtWidgets.QVBoxLayout(self)
self.source = fit.surface
self.d1 = np.array([0.0])
self.d2 = np.array([0.0])
top_left = QtWidgets.QFrame(self)
top_left.setMaximumHeight(150)
top_left.setFrameShape(QtWidgets.QFrame.StyledPanel)
topl = QtWidgets.QVBoxLayout(top_left)
top_right = QtWidgets.QFrame(self)
top_right.setMaximumHeight(150)
top_right.setFrameShape(QtWidgets.QFrame.StyledPanel)
topr = QtWidgets.QVBoxLayout(top_right)
bottom = QtWidgets.QFrame(self)
bottom.setFrameShape(QtWidgets.QFrame.StyledPanel)
bot = QtWidgets.QVBoxLayout(bottom)
splitter1 = QtWidgets.QSplitter(QtCore.Qt.Horizontal)
splitter1.addWidget(top_left)
splitter1.addWidget(top_right)
splitter2 = QtWidgets.QSplitter(QtCore.Qt.Vertical)
splitter2.addWidget(splitter1)
splitter2.addWidget(bottom)
self.splitter = splitter2
self.layout.addWidget(splitter2)
# x-axis
win = CurveDialog()
self.g_xplot = win.get_plot()
self.g_xhist_m = make.histogram([], color='#ff00ff')
self.g_xhist_a = make.histogram([], color='#6f0000')
self.g_xplot.add_item(self.g_xhist_a)
self.g_xplot.add_item(self.g_xhist_m)
topl.addWidget(self.g_xplot)
# y-axis
win = CurveDialog()
self.g_yplot = win.get_plot()
self.g_yhist_m = make.histogram([], color='#00ff00')
self.g_yhist_a = make.histogram([], color='#006600')
self.g_yplot.add_item(self.g_yhist_a)
self.g_yplot.add_item(self.g_yhist_m)
topr.addWidget(self.g_yplot)
# 2D-Histogram
self.g_hist2d_m = make.histogram2D(np.array([0.0, 0.0]), np.array([0.0, 0.0]), logscale=True)
self.g_hist2d_a = make.histogram2D(np.array([0.0, 0.0]), np.array([0.0, 0.0]), logscale=True)
self.g_hist2d_m.set_color_map('hot')
self.g_hist2d_a.set_color_map('Blues')
#self.g_hist2d_m.set_interpolation(INTERP_LINEAR)
#self.g_hist2d_a.set_interpolation(INTERP_LINEAR)
win = ImageDialog(edit=False, toolbar=False)
self.g_xyplot = win.get_plot()
self.g_xyplot.set_aspect_ratio(lock=False)
self.g_xyplot.add_item(self.g_hist2d_a)
self.g_xyplot.add_item(self.g_hist2d_m)
bot.addWidget(win)
#selection
self.selection_x = make.range(.25, .5)
self.g_xplot.add_item(self.selection_x)
self.selection_y = make.range(.25, .5)
self.g_yplot.add_item(self.selection_y)
self.pltControl = SurfacePlotWidget(self)
self.widgets = [self.pltControl]
