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I was given an hdf5 model file that was build with tensorflow / keras. Training data is no more available. Note: all Python code snippets shown hereunder are run against Python 3.9.23 inside a ...
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1 answer
97 views

I am trying to read an h5 file using python with h5py.File(filename, 'r') as file: print("file.keys() = ", file.keys()) a_group_key = list(file.keys())[0] data = list(file[...
carl's user avatar
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1 answer
52 views

Here is the situation: I have data saved into pandas HDF5 files. Some data is compressed using lzo and some using blosc:zstd. Under RHEL-7, I was able to read both types of files. Then, I was ...
S.V's user avatar
  • 2,855
0 votes
1 answer
281 views

I generated a hdf5 file with the code below: # Create forecast training data file import h5py import hdf5plugin #mmap_array = np.memmap('video_prediction_224.dat', dtype='uint8', mode='w+', shape=(...
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0 answers
75 views

I’m experiencing significant slow-downs when converting data from LMDB to HDF5 format. While the conversion starts off quickly, performance degrades substantially partway through the process. ...
James Arten's user avatar
1 vote
0 answers
32 views

I am trying to use the HDFql C++ library to select groups that have attributes with specific values. There are an arbitrary number of groups in the root group, and each group has the same attribute ...
ajland's user avatar
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0 votes
2 answers
69 views

I have data that can have different sized arrays per row like: data = { 'a': [np.array([1.,2.]), np.array([6.,7.,.6]), np.array([np.nan])], 'b': np.array([99., 66., 88.]) } df = pd.DataFrame(...
juwi's user avatar
  • 98
2 votes
1 answer
77 views

I work with HDF5 files which contain datasets aggregated from smaller HDF5 files. Using the HDF Group tool nagg I can deaggregate the larger files into their original component files. However, nagg ...
0 votes
0 answers
63 views

I'm trying to write two ×ばつ3 matrices (array1 and array2) into a 3D HDF5 dataset with shape (3,3,2), where each matrix occupies a different slice along the third dimension. However, the second slice ...
pmu2022's user avatar
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2 votes
0 answers
164 views

I am writing Fortran code to save data to the HDF5 file format. In all the examples provided with HDF5 that I looked at, I couldn't help but notice the use of the C_LOC(x) intrinsic function with ...
Andris R.'s user avatar
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0 answers
30 views

I am trying to compile a CFD code on a Mac. The code is parallelized using MPI, and is written with a combination of C++ and Fortran. In addition, it runs a Python interpreter to handle IO tasks via ...
0 votes
1 answer
65 views

I am trying to simulate the creation of multiple h5 files in parallel while trying to read out the results live via a dynamically updated H5 VDS in swmr mode. All h5 files are processing different ...
Amanda.py's user avatar
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-4 votes
1 answer
138 views

I'm using H5PY to store a high number of simulations' outputs. Now of course these simulations are parametrized, hence I need to also store what parameters were used for which simulation output. At ...
0 votes
1 answer
140 views

I have a Pandas DataFrame with mixed scalar and array-like data of different raw types (int, float, str). The DataFrame's types look like this: 'col1', dtype('float64') 'col2', dtype('O') <-- array,...
WolfiG's user avatar
  • 1,213
4 votes
0 answers
75 views

I have a bunch of pandas dataframes I'd like to save in one file, and each dataset gets appended to multiple times. I decided that an HD5 file would be a good way to store them, and this is code ...

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