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How do read .npy files in matlab?

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Juan Pablo Restrepo Uribe
Juan Pablo Restrepo Uribe am 14 Feb. 2019
Beantwortet: Grace Kepler am 7 Nov. 2023
Hello.
In matlab it is possible to read the extension .npy, or in its absence the extension .LVM of Labview.

Akzeptierte Antwort

Andrew Knyazev
Andrew Knyazev am 11 Jun. 2019
https://github.com/kwikteam/npy-matlab
  5 Kommentare
Maria Jose Palancares Sosa
Maria Jose Palancares Sosa am 14 Jul. 2021
Super useful, thanks!
Svetlana Piner
Svetlana Piner am 18 Mär. 2022
Best response from my point of view!

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Weitere Antworten (4)

Toon Weyens
Toon Weyens am 16 Feb. 2021
If you have access to Python, the easiest thing would be to create a Python script such as the one below, and run that. It will find all .npz files in the current directory and convert that to .mat.
from scipy.io import savemat
import numpy as np
import glob
import os
npzFiles = glob.glob("*.npz")
for f in npzFiles:
fm = os.path.splitext(f)[0]+'.mat'
d = np.load(f)
savemat(fm, d)
print('generated ', fm, 'from', f)
  5 Kommentare
Grzegorz Klosowski
Grzegorz Klosowski am 8 Sep. 2022
Good job. Thanks.
Mark Sie
Mark Sie am 18 Jun. 2023
Help me greatly thank u

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Cam Salzberger
Cam Salzberger am 14 Feb. 2019
Hello Juan,
I don't believe that either of those file formats are natively supported in MATLAB, but you can always check File Exchange to see if anyone has written an importer for them. A quick search did not turn up anything for NPY, but LVM turned up this one. If you have any questions about that File Exchange package, it's best to direct them to the author of the package.
-Cam
  1 Kommentar
Johann Martinez
Johann Martinez am 23 Feb. 2022
One more reason to stop using Matlab. Python indeed has libraries to make use Matlab.

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ROuntrance Krumph
ROuntrance Krumph am 11 Nov. 2022
You cannot do so. MATLab® is proprietary software and cannot run "open-source" code .
It shall be destined to go the way of the Pheonix (Arizona)
size(IRIS); IRIS(size)
Unrecognized function or variable 'IRIS'.

Grace Kepler
Grace Kepler am 7 Nov. 2023
Yes, use code like this.
>> x=py.numpy.load('data.npy')

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