# 存储多个数组 np.savez('multiple_arrays.npz',arr1=arr,arr2=arr*2)# 加载多个数组 loaded_multiple_arrays=np.load('multiple_arrays.npz')arr1_loaded=loaded_multiple_arrays['arr1']arr2_loaded=loaded_multiple_arrays['arr2']print(arr1_loaded)print(arr2_loaded) ...
import numpy as np # 创建两个数组 arr1 = np.array([1, 2, 3]) arr2 = np.array([4, 5, 6]) # 将多个数组保存到一个文件 np.savez('multiple_arrays.npz', array1=arr1, array2=arr2) 从文件中读取数组 代码语言:txt 复制 import numpy as np # 读取单个数组 loaded_arr = np.load('...
arr = np.arange(10) np.save('some_array', arr) np.load('some_array.npy') np.savez('array_archive.npz', a=arr, b=arr)#save multiple arrays in an uncompressed archive using np.savezarch = np.load('array_archive.npz') arch['b'] np.savez_compressed('arrays_compressed.npz', a=ar...
可以使用 np.savez 存储多个数组,并使用 np.load 加载这些数组。 # 存储多个数组np.savez('multiple_arrays.npz', arr1=arr, arr2=arr*2)# 加载多个数组loaded_multiple_arrays = np.load('multiple_arrays.npz') arr1_loaded = loaded_multiple_arrays['arr1'] arr2_loaded = loaded_multiple_arrays['a...
You save multiple arrays in an uncompressed(未解压的) archive using np.savez and passing the arrays as keyword arguments: When loading an .npz file, you get back a dict-like object that loads the individual(个别的) arrays lazily. np.savez("../examples/array_archive.npz",a=arr,b=arr) ...
You save multiple arrays in an uncompressed(未解压的) archive using np.savez and passing the arrays as keyword arguments: When loading an .npz file, you get back a dict-like object that loads the individual(个别的) arrays lazily. np.savez("../examples/array_archive.npz", a=arr, b=arr...
How can I save multiple Numpy arrays into a single file? How can I save a Numpy array to a text file? Question 1: Why can’t I read the saved .npy file in a text editor? Files saved in.npyformat are in binary format. That means, it will be impossible to directly read or inspec...
You save multiple arrays in an uncompressed archive using np.savez and passing the arrays as keyword arguments: In [216]: np.savez('array_archive.npz', a=arr, b=arr) When loading an .npz file, you get back a dict-like object that loads the individual arrays lazily: In [217]: arch...
Save an array x=Numo::Int32[0..9]Npy.save("x.npy",x) Load annpyfile x=Npy.load("x.npy") Load annpystring byte_str=File.binread("x.npy")x=Npy.load_string(byte_str) npz npzfiles contain multiple arrays Save multiple arrays ...
.. versionadded:: 1.14.0 See Also --- save : Save an array to a binary file in NumPy ``.npy`` format savez : Save several arrays into an uncompressed ``.npz`` archive savez_compressed : Save several arrays into a compressed ``.npz`` archive Notes --- Further explanation ...