Saving 3 dimensional array to a file in Python-CodePudding

I want to save a 3 dimensional arrays values to a txt or csv file in python. dCx, dCy

I used:

numpy.savetxt('C:/Users/musa/Desktop/LOCO_All_tests/FODO_Example/AllQ/dCx.csv',dCx,delimiter=',')
numpy.savetxt('C:/Users/musa/Desktop/LOCO_All_tests/FODO_Example/AllQ/dCy.csv',dCy,delimiter=',')

And to load it again:

dCx = numpy.genfromtxt('C:/Users/musa/Desktop/LOCO_All_tests/FODO_Example/AllQ/dCx.csv', delimiter=',')
dCy = numpy.genfromtxt('C:/Users/musa/Desktop/LOCO_All_tests/FODO_Example/AllQ/dCy.csv', delimiter=',')

But i got the error massage

"Expected 1D or 2D array, got 3D array instead"

Si i wanted to change the 3d arrays first to 2 arrays and then save it to the files, and when uploaded again i convert it back to 3d for example:

dCx2 = np.array(dCx).reshape(np.array(dCx).shape[0], -1)
dCy2 = np.array(dCy).reshape(np.array(dCy).shape[0], -1)

and after loaded to variable named dCx3 and dCy3 i used:

dCx = np.array(dCx3).reshape(
    np.array(dCx3).shape[0], np.array(dCx3).shape[1] // np.array(dCx).shape[2], np.array(dCx).shape[2])

#dCy = np.array(dCy3).reshape(
#    np.array(dCy3).shape[0], np.array(dCy3).shape[1] // np.array(dCy).shape[2], np.array(dCy).shape[2])

I am looking for a better method that i can used in the saving the 3d arrays to file, or a method to convert the 2d into 3d without having to measure the original arrays every time as it is used in this line:

 np.array(dCy).shape[2], np.array(dCy).shape[2])

CodePudding user response：

Use numpy.save(filepath, data) and data = numpy.load(filepath).

These are binary file formats, and generic for any type of NumPy data

CodePudding user response：

Try tofile. it works for in my case. but array will write in 1D

import numpy as np
arr=np.arange(0,21).reshape(7,3)
arr.tofile('file.txt',sep=',')
arr2=np.fromfile('file.txt',sep=',')