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main.py
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50 lines (33 loc) · 1.14 KB
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import pandas as pd
import numpy as np
file = pd.read_csv("data.csv",skipinitialspace=True)
columns= ['pose_Rx','pose_Ry','pose_Rz','gaze_0_x','gaze_0_y','gaze_0_z','gaze_1_x','gaze_1_y','gaze_1_z']
x = file.loc[:,columns].values
head1avg=np.zeros(15);
head2avg=np.zeros(15);
head3avg=np.zeros(15);
head1=np.median(head1avg);
head2=np.median(head2avg);
head3=np.median(head3avg);
for i in range(x.shape[0]):
name = ".\\co\\coeff" + '{0:04}'.format(i+1) + ".txt"
# 50 '0' lwala :p
tab = np.zeros(50);
# head
head1avg[:-1] = head1avg[1:]; head1avg[-1] = x[i][0];
head2avg[:-1] = head2avg[1:]; head2avg[-1] = x[i][1];
head3avg[:-1] = head3avg[1:]; head3avg[-1] = x[i][2];
head1 = np.median(head1avg);
head2 = np.median(head2avg);
head3 = np.median(head3avg);
tab = np.append(tab,head1)
tab = np.append(tab,head2)
tab = np.append(tab,head3)
# pose
tab = np.append(tab,x[i][3])
tab = np.append(tab,x[i][4])
tab = np.append(tab,x[i][5])
tab = np.append(tab,x[i][6])
tab = np.append(tab,x[i][7])
tab = np.append(tab,x[i][8])
np.savetxt(name,tab)