While trying to update an old Python script I ran into the following error:
module 'numpy' has no attribute 'asscalar'. Did you mean: 'isscalar'?
Specifically:
def calibrate(x, y, z):
# H = numpy.array([x, y, z, -y**2, -z**2, numpy.ones([len(x), 1])])
H = numpy.array([x, y, z, -y**2, -z**2, numpy.ones([len(x)])])
H = numpy.transpose(H)
w = x**2
(X, residues, rank, shape) = linalg.lstsq(H, w)
OSx = X[0] / 2
OSy = X[1] / (2 * X[3])
OSz = X[2] / (2 * X[4])
A = X[5] + OSx**2 + X[3] * OSy**2 + X[4] * OSz**2
B = A / X[3]
C = A / X[4]
SCx = numpy.sqrt(A)
SCy = numpy.sqrt(B)
SCz = numpy.sqrt(C)
# type conversion from numpy.float64 to standard python floats
offsets = [OSx, OSy, OSz]
scale = [SCx, SCy, SCz]
offsets = map(numpy.asscalar, offsets)
scale = map(numpy.asscalar, scale)
return (offsets, scale)
I found that asscalar has been deprecated since NumPy 1.16. I found one reference that said to use numpy.ndarray.item, but I have no clue how to do that.
I did try this:
offsets = map.item(offsets)
scale = map.item( scale)
but got this error:
AttributeError: type object 'map' has no attribute 'item'
How can I solve this?
Just replace numpy.scalar using numpy.ndarray.item, that is, change
offsets = map(numpy.asscalar, offsets)
scale = map(numpy.asscalar, scale)
to
offsets = map(numpy.ndarray.item, offsets)
scale = map(numpy.ndarray.item, scale)