Quick Start Guide — h5py 3.5.0 documentation
docs.h5py.org › en › stableThe very first thing you’ll need to do is to open the file for reading: >>> import h5py >>> f = h5py.File('mytestfile.hdf5', 'r') The File object is your starting point. What is stored in this file? Remember h5py.File acts like a Python dictionary, thus we can check the keys, >>> list(f.keys()) ['mydataset']
HDF5 for Python - h5py
https://www.h5py.orgThe h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and ...
File Objects — h5py 3.5.0 documentation
docs.h5py.org › en › stableFile Objects — h5py 3.2.1 documentation File Objects ¶ File objects serve as your entry point into the world of HDF5. In addition to the File-specific capabilities listed here, every File instance is also an HDF5 group representing the root group of the file. Opening & creating files ¶ HDF5 files work generally like standard Python file objects.
HDF5 for Python - h5py
www.h5py.orgThe h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays.
h5py - PyPI
pypi.org › project › h5pyNov 16, 2021 · The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, datasets and groups using established Python and NumPy concepts.