如何序列化/反序列化字典data with msgpack http://msgpack.org/?
The Python 文档 http://msgpack-python.readthedocs.io/en/latest/?badge=latest似乎不太好，所以这是我的尝试。
安装
pip install msgpack
读写消息包
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import msgpack
# Define data
data = {
"a list": [1, 42, 3.141, 1337, "help"],
"a string": "bla",
"another dict": {"foo": "bar", "key": "value", "the answer": 42},
}
# Write msgpack file
with open("data.msgpack", "wb") as outfile:
packed = msgpack.packb(data)
outfile.write(packed)
# Read msgpack file
with open("data.msgpack", "rb") as data_file:
byte_data = data_file.read()
data_loaded = msgpack.unpackb(byte_data)
print(data == data_loaded)
备择方案
- CSV：超级简单的格式（读和写 https://stackoverflow.com/a/41585079/562769)
- JSON：适合编写人类可读的数据；非常常用（读和写 https://stackoverflow.com/a/37795053/562769)
- YAML：YAML 是 JSON 的超集，但更易于阅读（读和写 https://stackoverflow.com/a/42054860/562769, JSON 和 YAML 的比较 https://stackoverflow.com/a/1729545/562769)
- pickle：一种 Python 序列化格式（读和写 https://stackoverflow.com/a/33245595/562769)
-
消息包 http://msgpack.org/ (Python包 https://pypi.python.org/pypi/msgpack-python): 更紧凑的表示 (读和写 https://stackoverflow.com/q/43442194/562769)
-
HDF5 https://en.wikipedia.org/wiki/Hierarchical_Data_Format (Python包 http://docs.h5py.org/en/latest/quick.html): 适合矩阵 (读和写 https://stackoverflow.com/a/41586571/562769)
- XML：也存在*叹息*（read https://stackoverflow.com/a/1912483/562769 & write https://stackoverflow.com/a/3605831/562769)
对于您的应用程序，以下内容可能很重要：
- 其他编程语言的支持
- 读/写性能
- 紧凑性（文件大小）
也可以看看：数据序列化格式比较 https://en.wikipedia.org/wiki/Comparison_of_data_serialization_formats
如果您正在寻找一种制作配置文件的方法，您可能需要阅读我的短文Python 中的配置文件 https://martin-thoma.com/configuration-files-in-python/
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