numpy.save() ⚬ Entries

↩ 🔵 🔵 🔵

---

Primary

၊၊||၊|။

numpy.save() ⚬｜Documentation｜1st｜202510211959-00-⌔

numpy.save — NumPy v2.4 Manual#numpy.save

numpy.save(file, arr, allow_pickle=True)

Save an array to a binary file in NumPy .npy format.

Parameters:

file: file, str, or pathlib.Path

File or filename to which the data is saved. If file is a file-object, then the filename is unchanged. If file is a string or Path, a .npy extension will be appended to the filename if it does not already have one.

arr: array_like

Array data to be saved.

allow_pickle: bool, optional

Allow saving object arrays using Python pickles. Reasons for disallowing pickles include security (loading pickled data can execute arbitrary code) and portability (pickled objects may not be loadable on different Python installations, for example if the stored objects require libraries that are not available, and not all pickled data is compatible between different versions of Python). Default: True

See also:

savez

Save several arrays into a .npz archive

savetxt, load

Notes:

For a description of the .npy format, see numpy.lib.format.

Any data saved to the file is appended to the end of the file.

Examples:

>>> import numpy as np

>>> from tempfile import TemporaryFile
>>> outfile = TemporaryFile()

>>> x = np.arange(10)
>>> np.save(outfile, x)

>>> _ = outfile.seek(0) # Only needed to simulate closing & reopening file
>>> np.load(outfile)
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

>>> with open('test.npy', 'wb') as f:
...     np.save(f, np.array([1, 2]))
...     np.save(f, np.array([1, 3]))
>>> with open('test.npy', 'rb') as f:
...     a = np.load(f)
...     b = np.load(f)
>>> print(a, b)
# [1 2] [1 3]

Printed 2026-06-28.

(echo:: @ ᯤ)

Link to original

Secondary

• • •

---