def plot_map(self,data,name,count=False):
if(not self.window):
print data
return
# Find number of ROCs present:
module = False
for px in data:
if px.roc > 0:
module = True
break
# Prepare new numpy matrix:
d = zeros((416 if module else 52,160 if module else 80))
for px in data:
xoffset = 52*(px.roc%8) if module else 0
yoffset = 80*int(px.roc/8) if module else 0
# Flip the ROCs upside down:
y = (px.row + yoffset) if (px.roc < 8) else (2*yoffset - px.row - 1)
# Reverse order of the upper ROC row:
x = (px.column + xoffset) if (px.roc < 8) else (415 - xoffset - px.column)
d[x][y] += 1 if count else px.value
plot = Plotter.create_th2(d, 0, 415 if module else 51, 0, 159 if module else 79, name, 'pixels x', 'pixels y', name)
self.window.histos.append(plot)
self.window.update()
def plot_map(self, data, name, count=False):
if (not self.window):
print data
return
# Find number of ROCs present:
module = False
for px in data:
if px.roc > 0:
module = True
break
# Prepare new numpy matrix:
d = zeros((416 if module else 52, 160 if module else 80))
for px in data:
xoffset = 52 * (px.roc % 8) if module else 0
yoffset = 80 * int(px.roc / 8) if module else 0
# Flip the ROCs upside down:
y = (px.row + yoffset) if (px.roc < 8) else (2 * yoffset - px.row -
1)
# Reverse order of the upper ROC row:
x = (px.column + xoffset) if (px.roc < 8) else (415 - xoffset -
px.column)
d[x][y] += 1 if count else px.value
plot = Plotter.create_th2(d, 0, 415 if module else 51, 0,
159 if module else 79, name, 'pixels x',
'pixels y', name)
self.window.histos.append(plot)
self.window.update()
def plot_2d(self,data,name,dac1,step1,min1,max1,dac2,step2,min2,max2):
if(not self.window):
for idac, dac in enumerate(data):
dac1 = min1 + (idac/((max2-min2)/step2+1))*step1
dac2 = min2 + (idac%((max2-min2)/step2+1))*step2
s = "DACs " + str(dac1) + ":" + str(dac2) + " - "
for px in dac:
s += str(px)
print s
return
# Prepare new numpy matrix:
bins1 = (max1-min1)/step1+1
bins2 = (max2-min2)/step2+1
d = zeros((bins1,bins2))
for idac, dac in enumerate(data):
if(dac):
bin1 = (idac/((max2-min2)/step2+1))
bin2 = (idac%((max2-min2)/step2+1))
d[bin1][bin2] = dac[0].value
plot = Plotter.create_th2(d, min1, max1, min2, max2, name, dac1, dac2, name)
self.window.histos.append(plot)
self.window.update()
def plot_2d(self, data, name, dac1, step1, min1, max1, dac2, step2, min2,
max2):
if (not self.window):
for idac, dac in enumerate(data):
dac1 = min1 + (idac / ((max2 - min2) / step2 + 1)) * step1
dac2 = min2 + (idac % ((max2 - min2) / step2 + 1)) * step2
s = "DACs " + str(dac1) + ":" + str(dac2) + " - "
for px in dac:
s += str(px)
print s
return
# Prepare new numpy matrix:
bins1 = (max1 - min1) / step1 + 1
bins2 = (max2 - min2) / step2 + 1
d = zeros((bins1, bins2))
for idac, dac in enumerate(data):
if (dac):
bin1 = (idac / ((max2 - min2) / step2 + 1))
bin2 = (idac % ((max2 - min2) / step2 + 1))
d[bin1][bin2] = dac[0].value
plot = Plotter.create_th2(d, min1, max1, min2, max2, name, dac1, dac2,
name)
self.window.histos.append(plot)
self.window.update()
