查看“Hdf5”的源代码

The Hierarchical Data Format (HDF) version 5 file format was designed for scientific data consisting of a hierarchy of datasets and attributes (or metadata). HDF is a product of the National Center for Supercomputing Applications (NCSA), which supplies the underlying C-language library; 

==IDL==
*IDL provides access to this library via a set of procedures and functions contained in a dynamically loadable module (DLM).
 IDL>HELP, 'hdf5', /DLM
* 查看Hdf5的文件结构,并直接读取
 IDL>file=h5_parse(filename,/read_data) ;IDL 7.1 
 IDL>file=h5_browser(filename) ;可视化界面


*pro: H5F_open,H5D_open,H5D_read,H5D_CLOSE
:http://www.exelisvis.com/docs/HDF5_Overview.html 
:http://hdfeos.org/examples/idl_local_mls_swath.php

==python==
===h5py===
 import h5py
 #打开HDF5文件：
 file = h5py.File('example.h5', 'r')
 #查看文件中的组和数据集：
 groups = list(file. Keys())
 datasets = [name for name in file if isinstance(file[name], h5py.Dataset)]
 print('Groups:', groups)
 print('Datasets:', datasets)
 #读取数据集：
 dataset = file['data']
 data = dataset[:]
 print('Data shape:', data. Shape)
 print('Data:', data)
 #关闭文件：
 file. Close()

===pandas===
 import pandas as pd
 data = pd.read_hdf('example.h5', key='data')
 print(data)