h5py 文件读取demo

最新推荐文章于 2023-11-07 14:06:51 发布

原创最新推荐文章于 2023-11-07 14:06:51 发布 · 263 阅读

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#python #人工智能 #深度学习

这段代码展示了如何使用h5py库在Python中遍历HDF5文件的各个节点，包括打印Dataset的shape和dtype属性，以及Group的attributes。

h5py

import h5py

def print_attrs(name, obj):
    print(name,'--name')
    if isinstance(obj, h5py.Dataset):
        print("    shape:", obj.shape)
        print("    dtype:", obj.dtype)
    else:
        for key, val in obj.attrs.items():
            print("    %s: %s" % (key, val))

def traverse_hdf5(f):
    for key in f.keys():
        print_attrs(key, f[key])
        if isinstance(f[key], h5py.Group):
            traverse_hdf5(f[key])

with h5py.File('channels-7.h5', 'r') as f:
traverse_hdf5(f)

import h5py

def print_attrs(name, obj):
    print(name,'--name')
    if isinstance(obj, h5py.Dataset):
        print("    shape:", obj.shape)
        print("    dtype:", obj.dtype)
    else:
        for key, val in obj.attrs.items():
            print("    %s: %s" % (key, val))

def traverse_hdf5(f):
    for key in f.keys():
        print_attrs(key, f[key])
        if isinstance(f[key], h5py.Group):
            traverse_hdf5(f[key])

with h5py.File('channels-7.h5', 'r') as f:
    traverse_hdf5(f)