如何在Python中读取HDF5文件 [英] How to read HDF5 files in Python

问题描述

我正在尝试从Python中的hdf5文件读取数据.我可以使用h5py读取hdf5文件，但无法弄清楚如何访问文件中的数据.

I am trying to read data from hdf5 file in Python. I can read the hdf5 file using h5py, but I cannot figure out how to access data within the file.

import h5py    
import numpy as np    
f1 = h5py.File(file_name,'r+')    

这有效并且读取了文件.但是，如何访问文件对象f1中的数据?

This works and the file is read. But how can I access data inside the file object f1?

推荐答案

阅读HDF5

import h5py
filename = "file.hdf5"

with h5py.File(filename, "r") as f:
    # List all groups
    print("Keys: %s" % f.keys())
    a_group_key = list(f.keys())[0]

    # Get the data
    data = list(f[a_group_key])

编写HDF5

import h5py

# Create random data
import numpy as np
data_matrix = np.random.uniform(-1, 1, size=(10, 3))

# Write data to HDF5
with h5py.File("file.hdf5", "w") as data_file:
    data_file.create_dataset("group_name", data=data_matrix)

有关更多信息，请参见 h5py文档.

See h5py docs for more information.

• JSON:非常适合编写人类可读的数据；非常常用(读和写)
• CSV:超级简单的格式(读取和写入)
• pickle:一种Python序列化格式(读取和写入)
• MessagePack ( Python软件包):更紧凑的表示形式(读取和写入)
• HDF5 (读取和写入)
• XML:也*叹*(阅读&

• JSON: Nice for writing human-readable data; VERY commonly used (read & write)
• CSV: Super simple format (read & write)
• pickle: A Python serialization format (read & write)
• MessagePack (Python package): More compact representation (read & write)
• HDF5 (Python package): Nice for matrices (read & write)
• XML: exists too *sigh* (read & write)

对于您的应用程序，以下内容可能很重要:

For your application, the following might be important:

• 其他编程语言的支持
• 阅读/写作表现
• 紧凑性(文件大小)

另请参阅:数据序列化格式的比较

如果您想寻找一种制作配置文件的方法，则可能需要阅读我的短文 Python中的配置文件

In case you are rather looking for a way to make configuration files, you might want to read my short article Configuration files in Python

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