python读取npy文件数据实例

import numpy as np

arr = np.array([[1, 2, 3],
               [4, 5, 6]])
np.save('weight.npy', arr)

loadData = np.load('weight.npy')

print("----type----")
print(type(loadData))
print("----shape----")
print(loadData.shape)
print("----data----")
print(loadData)

import numpy as np

# 注意编码方式
pre_train = np.load("vgg16.npy", allow_pickle=True, encoding="latin1")

print("------type-------")
print(type(pre_train))
print("------shape-------")
print(pre_train.shape)
print("------data-------")
print(pre_train)

import numpy as np

pre_train = np.load("vgg16.npy", allow_pickle=True, encoding="latin1")

data_dic = pre_train.item()

print("------type-------")
print(type(data_dic))
print("------conv1_1  data-------")
print(data_dic['conv1_1'])   # 返回一个列表，该列表有两个array，表示conv1_1的权重w与偏置b
print("------conv1_1  shape-------")
print((data_dic['conv1_1'][0]).shape)

import numpy as np
a=np.arange(5)
np.save('get.npy',a)

import numpy as np
a=np.load('load.npy')
print(a)

import numpy as np
a=np.arange(3)
b=np.arange(4)
c=np.arange(5)
np.savez('array_save.npz',a,b,c)  多个ndarray类型的数组