Jimmy C - 8 months ago 30

Python Question

I want to augment the

`scipy.sparse.csr_matrix`

`csr_matrix`

`class SparseMatrix(sp.csr_matrix):`

def __init__(self, matrix):

super(type(self), self).__init__(matrix)

This won't work though, throwing:

AttributeError: toSpa not found

Could you please explain to me what I'm doing wrong?

Answer

Somewhere in the SciPy Sparse Matrix implementation the first three letters of the class name are used to define a method that will do the transformations among the different sparse matrix types (see this thread). Therefore, you have to implement using a name like:

```
import numpy as np
from scipy.sparse import csr_matrix
class csr_matrix_alt(csr_matrix):
def __init__(self, *args, **kwargs):
super(csr_matrix_alt, self).__init__(*args, **kwargs)
s = csr_matrix_alt(np.random.random((10, 10)))
print(type(s))
#<class '__main__.csr_matrix_alt'>
```

Other names like `csr_mymatrix`

, `csr_test`

and so forth would be possible...