from log_parser import LogParser
import matplotlib.pyplot as plt
if __name__ == '__main__':
logs = LogParser('text.log')
for mode in logs.get_mods_values():
plt.title(mode)
plt.xlabel('time')
plt.ylabel('speed')
plt.grid()
x = [
i * 200 for i in range(
len(logs.get_mods_values()[mode][logs.get_values_name()[-1]]))
]
for value in logs.get_mods_values()[mode]:
plt.plot(x, logs.get_mods_values()[mode][value], label=value)
plt.legend(bbox_to_anchor=(1.05, 1),
loc='upper left',
borderaxespad=0.)
plt.show()
