fast-array-utils

import numpy as np from scipy.sparse import csr_matrix from fast_array_utils.conv import to_dense from fast_array_utils import stats # Example with to_dense sparse_matrix = csr_matrix(np.array([[0, 1, 0], [1, 0, 2], [0, 0, 0]])) numpy_arr = to_dense(sparse_matrix) print(f"Dense array from sparse matrix:\n{numpy_arr}") # Example with stats module (requires 'fast-array-utils[accel]' to be installed) try: data_2d = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) col_sums = stats.sum(data_2d, axis=0) mean_val = stats.mean(data_2d) print(f"\nColumn sums: {col_sums}") print(f"Mean value: {mean_val}") except ImportError: print("\nSkipping stats examples: 'fast-array-utils[accel]' not installed.")