numpy.load()函數從具有npy擴展名(.npy)的磁盤文件返回輸入數組。
用法：numpy.load(file, mmap_mode=None, allow_pickle=True, fix_imports=True, encoding=’ASCII’)
參數：
file :：file-like對象，字符串或pathlib.Path。要讀取的文件。 File-like對象必須支持seek()和read()方法。
mmap_mode :如果不為None，則使用給定模式memory-map文件(有關詳細信息，請參見numpy.memmap
模式說明)。
allow_pickle :允許加載存儲在npy文件中的醃製對象數組。
fix_imports :僅在在Python 3上加載Python 2生成的醃製文件時有用，該文件包括包含對象數組的npy /npz文件。
encoding :僅當在Python 3中加載Python 2生成的醃製文件時有用，該文件包含包含對象數組的npy /npz文件。
Returns :數據存儲在文件中。對於.npz文件，必須關閉NpzFile類的返回實例，以避免泄漏文件描述符。
代碼1：工作
# Python program explaining
# load() function
import numpy as geek
a = geek.array(([i + j for i in range(3)
for j in range(3)]))
# a is printed.
print("a is:")
print(a)
geek.save('geekfile', a)
print("the array is saved in the file geekfile.npy")
# the array is saved in the file geekfile.npy
b = geek.load('geekfile.npy')
# the array is loaded into b
print("b is:")
print(b)
# b is printed from geekfile.npy
print("b is printed from geekfile.npy")輸出：
a is: [0, 1, 2, 1, 2, 3, 2, 3, 4] the array is saved in the file geekfile.npy b is: [0, 1, 2, 1, 2, 3, 2, 3, 4] b is printed from geekfile.npy
代碼2：
# Python program explaining
# load() function
import numpy as geek
# a and b are numpy arrays.
a = geek.array(([i + j for i in range(3)
for j in range(3)]))
b = geek.array([i + 1 for i in range(3)])
# a and b are printed.
print("a is:")
print(a)
print("b is:")
print(b)
# a and b are stored in geekfile.npz
geek.savez('geekfile.npz', a = a, b = b)
print("a and b are stored in geekfile.npz")
# compressed file is loaded
c = geek.load('geekfile.npz')
print("after loading...")
print("a is:", c['a'])
print("b is:", c['b'])輸出：
a is: [0 1 2 1 2 3 2 3 4] b is: [1 2 3] a and b are stored in geekfile.npz after loading... a is:[0 1 2 1 2 3 2 3 4] b is:[1 2 3]
相關用法
注：本文由純淨天空篩選整理自ArkadipGhosh大神的英文原創作品 numpy.load() in Python。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。