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authorGreg Brown <gmb60@cam.ac.uk>2022-01-30 23:50:36 +0000
committerGreg Brown <gmb60@cam.ac.uk>2022-01-30 23:51:00 +0000
commitf6ee0e36c9cc075e5f007c44e95dc3aaa7736a57 (patch)
tree0fb6437bf04884ca7da38299d30b37ad6f9b4ee3 /scripts/analysis/error-beta.py
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diff --git a/scripts/analysis/error-beta.py b/scripts/analysis/error-beta.py
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+#!/usr/bin/env python3
+
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import sys
+
+def process_file(filename, robots):
+ s = pd.read_csv(filename).to_numpy().reshape((-1, robots, 2, 2))
+ error = s[:,:,1] - s[:,:,0]
+ linear = np.sqrt(error[:,:,0] ** 2 + error[:,:,1] ** 2)
+ return np.median(linear)
+
+def main(filenames, labels, robots):
+ for i, names in enumerate(filenames):
+ errors = [process_file(name, robots[i]) for name in names]
+ plt.plot(labels, errors, marker='o', linestyle=' ', label='{} robots'.format(robots[i]))
+
+ plt.ylabel('Median Error (m)')
+ plt.xlabel('Significance of inter-robot ranging')
+ plt.legend()
+
+ if input('Save? ') == 'y':
+ name = input('name: ')
+ plt.savefig(name)
+
+ plt.show()
+
+if __name__ == '__main__':
+ if len(sys.argv) < 4:
+ sys.exit(1)
+ robots = [int(i) for i in sys.argv[1].split(' ')]
+ labels = sys.argv[2].split(' ')
+ filename_series = map(lambda s: s.split(' '), sys.argv[3:])
+ main(filename_series, labels, robots)