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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)
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