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# Create A Sparse Matrix

## Preliminaries

```
# Load libraries
import numpy as np
from scipy import sparse
```

## Create Dense Matrix

```
# Create a matrix
matrix = np.array([[0, 0],
[0, 1],
[3, 0]])
```

## Convert To Sparse Matrix

```
# Create compressed sparse row (CSR) matrix
matrix_sparse = sparse.csr_matrix(matrix)
```

Note: There are many types of sparse matrices. In the example above we use CSR but the type we use should reflect our use case.