Sparse matrix file I/O in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to save a sparse matrix to a file using scipy.

SciPy

from scipy import sparse

matrix = sparse.csr_matrix([[0, 0, 1], [1, 0, 0]])
sparse.[1]('matrix.npz', matrix)

Drag options to blanks, or click blank then click option'

Aload_npz

Bload

Csave

Dsave_npz

Attempts:

3 left

💡 Hint

Common Mistakes

Using load_npz instead of save_npz.

Using generic save instead of save_npz.

The save_npz function saves a sparse matrix to a file in .npz format.

2fill in blank

medium

Complete the code to load a sparse matrix from a file using scipy.

SciPy

from scipy import sparse

loaded_matrix = sparse.[1]('matrix.npz')

Drag options to blanks, or click blank then click option'

Aload_npz

Bsave_npz

Cload

Dsave

Attempts:

3 left

💡 Hint

Common Mistakes

Using save_npz instead of load_npz.

Using generic load instead of load_npz.

The load_npz function loads a sparse matrix from a .npz file.

3fill in blank

hard

Fix the error in the code to correctly save a sparse matrix to a file.

SciPy

from scipy import sparse

matrix = sparse.csr_matrix([[1, 0], [0, 1]])
sparse.save_npz('data.npz', [1])

Drag options to blanks, or click blank then click option'

Amatrix.todense()

Bmatrix.toarray()

Cmatrix

Dmatrix.data

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a dense array instead of a sparse matrix.

Passing the data attribute of the sparse matrix.

The save_npz function requires a sparse matrix, not a dense array or data attribute.

4fill in blank

hard

Fill both blanks to save and then load a sparse matrix correctly.

SciPy

from scipy import sparse

matrix = sparse.csr_matrix([[0, 2], [3, 0]])
sparse.[1]('file.npz', matrix)
loaded = sparse.[2]('file.npz')

Drag options to blanks, or click blank then click option'

Asave_npz

Bload_npz

Csave

Dload

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing save and load functions incorrectly.

Using generic save or load instead of npz-specific functions.

Use save_npz to save and load_npz to load sparse matrices.

5fill in blank

hard

Fill all three blanks to create, save, and load a sparse matrix, then convert it to dense.

SciPy

from scipy import sparse

matrix = sparse.[1]([[1, 0], [0, 1]])
sparse.[2]('matrix.npz', matrix)
loaded = sparse.[3]('matrix.npz')
dense = loaded.toarray()

Drag options to blanks, or click blank then click option'

Acsr_matrix

Bsave_npz

Cload_npz

Dcsc_matrix

Attempts:

3 left

💡 Hint

Common Mistakes

Using csc_matrix instead of csr_matrix for creation.

Using generic save/load instead of save_npz/load_npz.

Create the sparse matrix with csr_matrix, save with save_npz, and load with load_npz.