#can be read in python
import h5py
import numpy as np
from scipy.sparse import csr_matrix

# Open the HDF5 file in read mode
file = h5py.File(file.ou.CRE.hdf5, 'r')

# Access the datasets and read the data
data = file['data'][:]
indices = file['column_indices'][:]  
indptr = file['row_pointers'][:]
shape = tuple(file['shape'][:])

# Build the sparse matrix using CSR format
sparse_matrix = csr_matrix((data, indices, indptr), shape=shape)

# Close the file
file.close()