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import h5py
# File path
filename = 'frac_pull_z_15044.h5'
# Save data to dictionary
data_dict = {}
# Open and traverse the HDF5 file
with h5py.File(filename, 'r') as f:
def collect_datasets(name, obj):
if isinstance(obj, h5py.Dataset):
print(f"Loading dataset: {name}, shape: {obj.shape}, dtype: {obj.dtype}")
data_dict[name] = obj[()] # Load entire dataset into memory
f.visititems(collect_datasets) # walk through h5 and collect in data_dict
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