long time reader, first time writer.

I searched around on google and stack overflow, but wasn't really able to find a general answer to this question.

I am getting an "unsupported operand type(s) for *: 'numpy.ndarray' and 'numpy.float64'" error in python 2.7.3 using numpy 1.6.2.

The error comes from multiplying a numpy array and a numpy float, but it doesn't happen every time.

For example:

x = np.tan(1) # numpy.float64
y = np.array([0,1,2,3]) # numpy.ndarray
np.multiply(x,y) # works no problem

Or 

x = np.tan(np.abs(np.multiply(-31,41)))  # numpy.float64
y = np.square(np.add(np.divide(np.zeros(100),42),(-27)**40)) # numpy.ndarray
np.multiply(x,y) # works no problem

Both work

Now for the problem children:

np.multiply(np.square(np.add(np.divide(np.zeros(100),42),-27)**40)),
np.tan(np.abs(np.multiply(-31,41))))

or, with x defined as above:

np.multiply(np.square(np.add(np.divide(np.zeros(100),42),(-27)**40)),x)

both produce the error: NotImplemented

I know the random functions and numbers seem odd, but conceptually this still should work, as it worked when both were set to variables individually.

Why does this happen? How can I fix it in a general sense?

Thanks so much! Jason

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