h5max 0.3.2

scipy.sparse support on h5py

h5max

A utility package built upon h5py for easier data saving and loading of sparse data objects.

h5max handles storing and loading of scipy.sparse data structures in h5py file objects, which is not natively supported. It assumes a simple data structure where information of individual samples are stored according to the index they occupy within datasets.

🔗 Installation

pip install h5max

📖 User guide

import h5py
import h5max
import numpy as np

fh = h5py.File('my_data.h5', 'w')

a = np.zeros((100,100))
b = np.zeros((1000,50))
a[7,1] = 1
b[1,0] = 10

m_list = [a, b]

# store both a, b
h5max.store_sparse(fh, m_list, format='csr')

# load only a (index 0)
a_out = h5max.load_sparse(fh, 0, format='csr')

# load [a,b]
m_list_out = h5max.load_sparse(fh, [0, 1], format='csr', to_numpy=True)

# load all idxs in the data
m_list_out = h5max.load_sparse(fh, format='csr')

fh.close()

✔️ Package features

• Support for csr, csc, coo sparse types
• Support for bsr, dia, dok, lil sparse types
• Support for overwriting
• Flexible data loading and saving (both as sparse and numpy arrays.)
• Automatic format detection