编程函数千千万，当然新的最有意思。今天小编为大家带了numpy.load()使用的详细讲解。

numpy.load()函数从具有npy扩展名(.npy)的磁盘文件返回输入数组。

用法：

numpy.load(file, mmap_mode=None, allow_pickle=True, fix_imports=True, encoding=’ASCII’)

</pre>
参数：

file :file-like对象，字符串或pathlib.Path。要读取的文件。 File-like对象必须支持seek()和read()方法。

mmap_mode :如果不为None，则使用给定模式memory-map文件(有关详细信息，请参见numpy.memmap

模式说明)。

allow_pickle :允许加载存储在npy文件中的腌制对象数组。

fix_imports :仅在在Python 3上加载Python 2生成的腌制文件时有用，该文件包括包含对象数组的npy /npz文件。

encoding :仅当在Python 3中加载Python 2生成的腌制文件时有用，该文件包含包含对象数组的npy /npz文件。

Returns :数据存储在文件中。对于.npz文件，必须关闭NpzFile类的返回实例，以避免泄漏文件描述符。

 

代码1：

 

# 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”)
<pre class="brush:js;toolbar:false">

输出：

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

</pre>
代码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’])
<pre class="brush:js;toolbar:false">

输出：

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]

还没有学会的小伙伴也不要着急，多练习几遍就好了。