I'm struggling with the way my data is being saved/updated. I have to calculate positions, velocities and more, multiple times and these variables depend on the lastest calculated value. It would easier, if I just save the data at the end of the for loop, but this loop takes a lot of time and in my region the power outages are often. Thence, the data would not be saved.
I store the data in a numpy file each X iterations as a backup like this:
import numpy as np
def calculations(variables):
'some calculations'
return variables
for i in range(long value):
variables=calculations(variables)
if i%X_iterations==0:
np.save(path+'/variables.npy',variables)
I think there must be a more efficient method to update this file, isn't it? Every millisecond counts.
EDIT:
All data are 1D and 2D numpy arrays. The operations inside calculations are multiplications and sums.
question from:
https://stackoverflow.com/questions/65601575/how-to-update-a-file-data-efficiently-using-numpy-save 与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…