21 янв. 2012 г. · Save the three arrays with numpy.save or numpy.savez, load them back with numpy.load, and then recreate the sparse matrix object.

28 мар. 2024 г. · I have a scipy.sparse matrix ( csr_matrix() ). But I need to save it to a file not in the .npz format but as a regular .txt or .csv file.

4 дек. 2017 г. · I'm looking for a way to save a dict where the keys are integers and the values are scipy sparse csr matrices.

13 авг. 2019 г. · It is the same command as you would use in numpy or scipy: sparse.save_npz('filename.npz', s, compressed=True) It actually saves it in numpy's npz format.

19 авг. 2020 г. · I have a 20,000 x 20,000 Numpy matrix that I wish to store by file, where the average volumn only has 12 values in it. What would be the most ...

15 апр. 2019 г. · Simply convert the spare matrix object to a string using str(sparse_matrix) and then write it to a file after changing the maxprint attribute.

24 мая 2018 г. · Save all the attributes in __dict__ of the matrix object, and recreate the csr_matrix when load: from scipy import sparse import numpy as np ...

13 апр. 2017 г. · A csr matrix stores it's values in 3 arrays. It is not an array or array subclass, so h5py cannot save it directly. The best you can do is save the attributes.

17 авг. 2020 г. · What is the best container object for a calculation in N dimensions, when the problem is symmetric so that only some numbers need to be calculated?

25 нояб. 2019 г. · You could save a sparse matrix using Scipy library as illustrated here. This function allows for compression as well, however, you need to ...