Andreas Specovius / ctools

Commit 081224fa2b3ed360cb63532bcbc1b0f6964aa636

Authored by knodlseder
1 parent e2e4bf73

show log histogram

Inline Side-by-side
Showing 1 changed file with 6 additions and 6 deletions
examples/show_ts_distribution.py
  View file @081224f
... ... @@ -99,7 +99,7 @@ if __name__ == '__main__':
99 99 nbins = 30
100 100  
101 101 # Set lin/log
102   - log = False
  102 + log = True
103 103  
104 104 # Read values from CSV file
105 105 values = read_ts(filename)
... ... @@ -116,7 +116,7 @@ if __name__ == '__main__':
116 116  
117 117 # Create histogram
118 118 n, bins, patches = plt.hist(values, nbins, range=[min_value, max_value], \
119   - align='mid', normed=True, facecolor='green', \
  119 + align='mid', facecolor='green', \
120 120 log=log)
121 121  
122 122 # Create expected distribution (onyl for positive TS). We compute the
... ... @@ -125,11 +125,11 @@ if __name__ == '__main__':
125 125 x = []
126 126 y_full = []
127 127 y_half = []
128   - norm = 1.0/(math.sqrt(2.0)*math.sqrt(math.pi))
129 128 width = bins[1]-bins[0]
  129 + norm = len(values)/(math.sqrt(2.0)*math.sqrt(math.pi))*width
130 130 x.append(0.0)
131   - y_full.append(1.0/width)
132   - y_half.append(0.5/width)
  131 + y_full.append(len(values))
  132 + y_half.append(0.5*len(values))
133 133 for bin in bins:
134 134 ts = bin + 0.5*width
135 135 if ts > 0:
... ... @@ -146,7 +146,7 @@ if __name__ == '__main__':
146 146  
147 147 # Set plot
148 148 plt.xlabel('TS')
149   - plt.ylabel('Arbitrary units')
  149 + plt.ylabel('Number of trials')
150 150 plt.title('TS distribution')
151 151 plt.grid(True)
152 152  
... ...