wradlib.io.hdf.to_hdf5

wradlib.io.hdf.to_hdf5(fpath, data, mode='w', metadata=None, dataset='data', compression='gzip')

Quick storage of one <data> array and a <metadata> dict in an hdf5 file

This is more efficient than pickle, cPickle or numpy.save. The data is stored in a subgroup named data (i.e. hdf5file[“data”). See from_hdf5 for retrieving stored data.

Parameters:

• fpath (string) – path to the hdf5 file
• data (numpy.array) –
• mode (string) – file open mode, defaults to “w” (create, truncate if exists)
• metadata (dict) – dictionary of data’s attributes
• dataset (string) – describing dataset
• compression (string) – h5py compression type {“gzip”|”szip”|”lzf”}, see h5py documentation for details