Deleting hdf5 dataset using h5py
Yes, this can be done.
with h5py.File(input, "a") as f: del f[datasetname]You will need to have the file open in a writeable mode, for example append (as above) or write.
As noted by @seppo-enarvi in the comments the purpose of the previously recommended f.__delitem__(datasetname) function is to implement the del operator, so that one can delete a dataset using del f[datasetname]
I tried this out and the only way I could actually reduce the size of the file is by copying everything to a new file and just leaving out the dataset I was not interested in:
fs = h5py.File('WFA.h5', 'r')fd = h5py.File('WFA_red.h5', 'w')for a in fs.attrs: fd.attrs[a] = fs.attrs[a]for d in fs: if not 'SFS_TRANSITION' in d: fs.copy(d, fd)
I do not understand what has your question to do with the file open modes. For read/write r+ is the way to go.
To my knowledge, removing is not easy/possible, in particular no matter what you do the file size will not shrink.
But overwriting content is no problem
f['mydataset'][:] = 0