| 1 | #!/usr/bin/python -tti
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| 2 |
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| 3 | from pylab import *
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| 4 | import numpy as np
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| 5 | from scipy import *
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| 6 | from matplotlib.patches import RegularPolygon
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| 7 | import time
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| 8 |
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| 9 | from factdimserver import *
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| 10 |
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| 11 |
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| 12 | class EventBrowser:
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| 13 |
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| 14 | def __init__(self, filename):
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| 15 |
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| 16 | self.LoadDetector("")
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| 17 |
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| 18 | self.fig = figure(figsize =(12, 5))
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| 19 | self.ax = self.fig.add_subplot(122)
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| 20 | self.ax2 = self.fig.add_subplot(121)
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| 21 | self.ax.set_axis_off()
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| 22 | self.axz, kk = mpl.colorbar.make_axes(self.ax, orientation='vertical')
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| 23 | self.fig.canvas.mpl_connect('pick_event', self.onpick)
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| 24 | self.ww = np.random.rand(1440)
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| 25 |
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| 26 |
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| 27 | self.Plot()
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| 28 | self.timer = self.fig.canvas.new_timer(interval=10000)
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| 29 | self.timer.add_callback(self.timer_callback)
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| 30 | self.timer.start()
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| 31 |
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| 32 | def timer_callback(self):
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| 33 | self.adc_data = get_fad_adc()
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| 34 | self.cam_data = get_fad_cams()
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| 35 | self.ww = cam_data[0]
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| 36 | self.Plot()
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| 37 |
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| 38 |
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| 39 | def LoadDetector(self,filename):
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| 40 | if filename == "":
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| 41 | filename = "FACTmap111030.txt"
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| 42 | file = open(filename)
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| 43 | xpixel = []
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| 44 | xpixel = []
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| 45 | ypixel = []
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| 46 | idpixel = []
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| 47 |
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| 48 | for lines in file:
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| 49 | if lines[0] != '#':
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| 50 | softid = int(lines.split()[0])
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| 51 | idpixel.append(softid)
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| 52 | x = -1*float(lines.split()[9])
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| 53 | y = float(lines.split()[8])
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| 54 | if softid == 1438 or softid == 1439:
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| 55 | x = -1 * x
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| 56 | xpixel.append(x)
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| 57 | ypixel.append(y)
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| 58 |
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| 59 |
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| 60 | self.xpixel = xpixel
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| 61 | self.ypixel = ypixel
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| 62 | self.idpixel = idpixel
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| 63 |
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| 64 | def Plot(self):
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| 65 | ww = self.ww
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| 66 | wmax = ww.max()
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| 67 | ww /= ww.max()
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| 68 | cmap = plt.cm.spectral
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| 69 |
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| 70 | for x, y, w in zip(self.xpixel, self.ypixel, ww):
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| 71 | self.ax.add_artist(RegularPolygon([x, y], 6, 0.6, 0, facecolor=cmap(w),edgecolor='black',linewidth=0.2))
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| 72 | self.ax.plot(self.xpixel, self.ypixel, 'h', color="white", ms=12, visible=False, picker=5)
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| 73 | self.ax.set_xlim(-21, 21)
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| 74 | self.ax.set_ylim(-21, 21)
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| 75 | self.axz.cla()
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| 76 |
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| 77 | #Create axes for the color bar
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| 78 | norm = mpl.colors.Normalize(vmin=0, vmax=wmax)
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| 79 | cb1 = mpl.colorbar.ColorbarBase(self.axz, cmap=cmap,
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| 80 | norm=norm,
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| 81 | orientation='vertical')
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| 82 | # text = "Event Browser"
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| 83 | # self.ax.annotate(text, (0.05, 0.05),
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| 84 | # xycoords="figure fraction", va="center", ha="left",
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| 85 | # bbox=dict(boxstyle="round, pad=1", fc="w"))
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| 86 |
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| 87 |
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| 88 | def onpress(self, event):
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| 89 | 'define some key press events'
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| 90 | if event.key in ('q','Q'): sys.exit()
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| 91 | if event.key not in ('n', 'p'): return
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| 92 | if event.key=='n':
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| 93 | self.event = self.run.next()
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| 94 | else:
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| 95 | print "Sorry I cannot go back!"
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| 96 | return
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| 97 | self.ax.cla()
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| 98 | self.ax.set_axis_off()
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| 99 | self.Plot()
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| 100 |
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| 101 | def onpick(self, event):
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| 102 | xpix = self.xpixel
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| 103 | ypix = self.ypixel
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| 104 | # the click locations
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| 105 | x = event.mouseevent.xdata
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| 106 | y = event.mouseevent.ydata
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| 107 | ind = event.ind
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| 108 |
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| 109 | N = len(event.ind)
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| 110 | if not N: return True
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| 111 |
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| 112 | if N == 1:
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| 113 | self.pixelID = event.ind[0]
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| 114 | if N > 1:
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| 115 | # find nearest point to click
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| 116 | distances = np.zeros(N)
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| 117 | for ii,i in enumerate(ind):
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| 118 | distances[ii] = np.sqrt((x-xpix[i])**2 + (y-ypix[i])**2)
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| 119 | self.pixelID = ind[distances.argmin()]
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| 120 |
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| 121 | print self.pixelID
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| 122 |
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| 123 | self.ax2.plot(self.adc_data[self.pixelID], hold=False)
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| 124 |
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| 125 | self.fig.canvas.draw()
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| 126 |
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| 127 |
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| 128 |
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| 129 | # *blocking* function to get the FAD ADC data in a nice format
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| 130 | def get_fad_adc():
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| 131 | # a large large tuple:
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| 132 | # 1650 elements carrying header information
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| 133 | offset = 1650
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| 134 | # (1440+160)*Roi floats of real ADC data (DRS calibrated,
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| 135 | # if fad_control has the constants)
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| 136 | raw_data = fad_control.raw_data()
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| 137 | if raw_data == None:
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| 138 | print "fad_control.raw_data() .. timed out"
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| 139 | return None
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| 140 | Roi = int(raw_data[0])
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| 141 | rd = np.array(raw_data[offset:offset+1440*Roi])
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| 142 | rd = raw_data.reshape(1440,Roi)
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| 143 | return rd
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| 144 |
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| 145 |
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| 146 | def get_fad_cams():
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| 147 |
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| 148 | cd = fad_control.event_data()
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| 149 | if cd == None:
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| 150 | print "fad_control.event_data() ... timed out"
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| 151 | return None
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| 152 | cd = np.array(cd)
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| 153 | cd = cd.reshape(4,1440)
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| 154 |
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| 155 | return cd
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| 156 |
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| 157 |
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| 158 |
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| 159 | if __name__ == '__main__':
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| 160 | eb = EventBrowser("")
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| 161 | show()
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 168 |
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| 169 |
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