2020. 2. 16. 15:51ㆍ카테고리 없음
About the projectThe h5py package is a Pythonic interface to the 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 tagged however you want.H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the.shape or.dtype attributes of datasets. You don't need to know anything special about HDF5.In addition to the easy-to-use high level interface, h5py rests on a object-orientedCython wrapping of the HDF5 C API.
Hdf5 Install Mac
Almost anything you can do from C in HDF5, you can dofrom h5py.Best of all, the files you create are in a widely-used standard binary format, which you can exchange with, including those who use programs like IDL and MATLAB. Stable DownloadsAll downloads are now.Check out the. DevelopmentAll development for h5py takes place Before sending a pullrequest, please ping the mailing list. DocumentationThe is a great place to start; you may also want to check out the.There's an, Python and HDF5, written by the lead author of h5py, Andrew Collette.General questions are always welcome on the.