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speed_plot.py
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speed_plot.py
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import csv
import os
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from numpy import linalg
import math
def plot_data(filename, sampling_freq=20):
x_pos = []
y_pos = []
z_pos = []
x_speed = []
y_speed = []
z_speed = []
x_acc = []
y_acc = []
z_acc = []
final_speed = []
final_pos = []
final_acc = []
frame = []
i = 0
with open('{fn}'.format(fn=filename)) as f:
csv_reader = csv.reader(f, delimiter=',')
for row in csv_reader:
if i % sampling_freq == 0:
x_pos.append(float(row[0]))
y_pos.append(float(row[2]))
z_pos.append(float(row[1]))
x_speed.append(linalg.norm(float(row[3])) * 3.6)
y_speed.append(linalg.norm(float(row[4])) * 3.6)
z_speed.append(linalg.norm(float(row[5])) * 3.6)
x_acc.append(float(row[6]))
y_acc.append(float(row[7]))
z_acc.append(float(row[8]))
final_pos.append(math.sqrt(
pow(linalg.norm(float(row[0])), 2) + pow(linalg.norm(float(row[1])), 2) + pow(
linalg.norm(float(row[2])), 2)))
speed = math.sqrt(pow(linalg.norm(float(row[3])), 2) + pow(linalg.norm(float(row[4])), 2) + pow(linalg.norm(float(row[5])), 2))
final_speed.append(speed * 3.6)
if speed > 0.001:
final_acc.append((float(row[3]) * float(row[6]) + float(row[4]) * float(row[7]) + float(row[5]) * float(row[8])) / speed)
else:
final_acc.append(0)
frame.append(i)
i += 1
final_acc2 = []
last_speed = 0.0
for i in range(len(x_speed)):
final_acc2.append(final_speed[i] - last_speed)
last_speed = final_speed[i]
final_acc2.pop(0)
final_acc2.insert(0, 0.0)
final_pos_avg = sum(final_pos) / len(final_pos)
final_speed_avg = sum(final_speed) / len(final_speed)
final_acc_avg = sum(final_acc) / len(final_acc)
print('Avg pos:', final_pos_avg, 'Avg speed: ', final_speed_avg, 'Avg acc: ', final_acc_avg)
fig = plt.figure(figsize=(10, 7))
fig.suptitle(filename)
spec = gridspec.GridSpec(ncols=1, nrows=2, figure=fig)
#ax = fig.add_subplot(spec[0, 0])
#ax.plot(frame, final_pos)
#ax.set_title(' ')
#ax.set_ylabel('position (m)')
#ax.set_xlabel('frame')
ax2 = fig.add_subplot(spec[0, 0])
ax2.plot(frame, final_speed)
ax2.set_title(' ')
ax2.set_ylabel('speed (km/h)')
ax2.set_xlabel('frame')
'''
ax3 = fig.add_subplot(spec[0, 0])
ax3.plot(frame, final_acc2)
ax3.set_title('')
ax3.set_ylabel('acc (m/s^2)')
# ax3.set_ylim(-1, 1)
ax3.set_xlabel('frame')
'''
ax3 = fig.add_subplot(spec[1, 0])
ax3.plot(frame, final_acc)
ax3.set_title('')
ax3.set_ylabel('acc (m/s^2)')
#ax3.set_ylim(-1, 1)
ax3.set_xlabel('frame')
plt.show()
if __name__ == '__main__':
directory = 'data/very_long_bike'
files = []
count = 0
for filename in os.listdir(os.path.abspath(os.curdir) + '/' + directory):
files.append(filename)
files.sort()
print(' ', files)
for file in files:
print(file)
plot_data(directory + '/' + file, sampling_freq=20)
count += 1
if count % 4 == 0:
print(' ')