python3 hdf5文件 遍历代码

import h5py
import numpy as np
f = h5py.File('train/e1_1.hdf5')
key = ""
for k in f.keys():
    key = k
d = f[key]
print(d)
a = np.ones(d.shape)
d.read_direct(a)
print(a)
f.close()

h5ls info.h5
# key1    Dataset {10000}
# key2    Dataset {10000,5}
# key3    Dataset {20000,30}

pip install h5py
pip install numpy
# numpy 通常是作为配合使用

import h5py
import numpy as np
# 如果你要在根group下创建dataset
f = h5py.File('info.h5', 'w')
values1 = np.arange(12).reshape(4, 3)
values2 = np.arange(20).reshape(4, 5)
f.create_dataset(name='key1', data=np.array(values1, dtype='int64'))
f.create_dataset(name='key2', data=np.array(values2, dtype='int64'))
# 如果你要创建一个group（目录）
# 然后指定dataset放置的group
f.create_group('/dir1')
f.create_group('/dir1/dir2')
data = np.arange(6).reshape(3, 2)
f.create_dataset('/dir1/dir2', data=data)
# 最后别忘了关闭文件
f.close()

import h5py
with h5py.File(info.h5, 'r') as f:
    values1 = f['key1'].value
    values2 = f['key2'].value