how can I delete a dataset completely from a group in a .hdf5 file?
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I am trying to combine parts 2 .hdf5 files. I thought to just grab the data from each file, then re-write this data onto one of my files or make a copied file and write it there. I want to avoid creating datasets in the first place with 'infinite' size. To write data to a dataset, it needs to be the same size as the dataset, but when I'm combinging my .hdf5 datasets they are doubling in size. So can I delete an entire dataset so that I can then create a new one with the combined data size?
Thanks
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답변 (5개)
shubham kumar gupta
2021년 6월 6일
dataset_to_delete='info';
fid = H5F.open('myfile.h5','H5F_ACC_RDWR','H5P_DEFAULT');
H5L.delete(fid,dataset_to_delete,'H5P_DEFAULT');
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plasmageek
2018년 4월 20일
I'm pretty sure you can't, even with the low level functions. But if somebody knows of a way, I'm also trying to figure this out.
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Walter Roberson
2018년 4월 20일
편집: Walter Roberson
2018년 4월 20일
It looks like there is support at the HDF5 level for deleting datasets, but that there is no support for reclaiming the space.
If there is no available MATLAB routine then it appears you could call into python; https://stackoverflow.com/questions/31861724/deleting-hdf5-dataset-using-h5py
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per isakson
2018년 5월 5일
"[...] there is no support for reclaiming the space." There is a tool that sort of does it, see h5repack, Copies an HDF5 file to a new file with or without compression and/or chunking.
Dave Bodette
2019년 1월 15일
See the Example under H5L.delete for a way to accomplish what you want. You basically delete your entire Group and start over.
In the end you will need to run h5repack to recover the deleted space and avoid your .h5 file bloating.
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Jerome NoName
2020년 9월 16일
편집: Walter Roberson
2020년 9월 16일
Dear all,
I wanted to make you aware of a development one of my colleague did and put it online in opensource. It's called h5nav. You can download if with pip install ( https://pypi.org/project/h5nav/ )
In a terminal:
---
pip install h5nav
h5nav toto.h5
ls
rm the_group_you_want_to_delete
exit
---
Note that you'll still have to use h5repack to lower the size of your file.
Best,
Jérôme
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