def mlarr(*args, **kwargs):
"""Convenience function to return matlab-compatible 2D array."""
arr = np.array(*args, **kwargs)
arr.shape = matdims(arr)
return arr
def test_matdims():
# Test matdims dimension finder
assert_equal(matdims(np.array(1)), (1, 1)) # numpy scalar
assert_equal(matdims(np.array([1])), (1, 1)) # 1d array, 1 element
assert_equal(matdims(np.array([1,2])), (2, 1)) # 1d array, 2 elements
assert_equal(matdims(np.array([[2],[3]])), (2, 1)) # 2d array, column vector
assert_equal(matdims(np.array([[2,3]])), (1, 2)) # 2d array, row vector
# 3d array, rowish vector
assert_equal(matdims(np.array([[[2,3]]])), (1, 1, 2))
assert_equal(matdims(np.array([])), (0, 0)) # empty 1d array
assert_equal(matdims(np.array([[]])), (0, 0)) # empty 2d
assert_equal(matdims(np.array([[[]]])), (0, 0, 0)) # empty 3d
# Optional argument flips 1-D shape behavior.
assert_equal(matdims(np.array([1,2]), 'row'), (1, 2)) # 1d array, 2 elements
# The argument has to make sense though
assert_raises(ValueError, matdims, np.array([1,2]), 'bizarre')
# Check empty sparse matrices get their own shape
from scipy.sparse import csr_matrix, csc_matrix
assert_equal(matdims(csr_matrix(np.zeros((3, 3)))), (3, 3))
assert_equal(matdims(csc_matrix(np.zeros((2, 2)))), (2, 2))
def mlarr(*args, **kwargs):
''' Convenience function to return matlab-compatible 2D array
'''
arr = np.array(*args, **kwargs)
arr.shape = matdims(arr)
return arr
def test_matdims():
# Test matdims dimension finder
assert_equal(matdims(np.array(1)), (1, 1)) # numpy scalar
assert_equal(matdims(np.array([1])), (1, 1)) # 1d array, 1 element
assert_equal(matdims(np.array([1, 2])), (2, 1)) # 1d array, 2 elements
assert_equal(matdims(np.array([[2], [3]])),
(2, 1)) # 2d array, column vector
assert_equal(matdims(np.array([[2, 3]])), (1, 2)) # 2d array, row vector
# 3d array, rowish vector
assert_equal(matdims(np.array([[[2, 3]]])), (1, 1, 2))
assert_equal(matdims(np.array([])), (0, 0)) # empty 1d array
assert_equal(matdims(np.array([[]])), (0, 0)) # empty 2d
assert_equal(matdims(np.array([[[]]])), (0, 0, 0)) # empty 3d
# Optional argument flips 1-D shape behavior.
assert_equal(matdims(np.array([1, 2]), 'row'),
(1, 2)) # 1d array, 2 elements
# The argument has to make sense though
assert_raises(ValueError, matdims, np.array([1, 2]), 'bizarre')
# Check empty sparse matrices get their own shape
from scipy.sparse import csr_matrix, csc_matrix
assert_equal(matdims(csr_matrix(np.zeros((3, 3)))), (3, 3))
assert_equal(matdims(csc_matrix(np.zeros((2, 2)))), (2, 2))
