[python] Numpy, multiply array with scalar

Is it possible to use ufuncs https://docs.scipy.org/doc/numpy/reference/ufuncs.html
In order to map function to array (1D and / or 2D) and scalar
If not what would be my way to achieve this?
For example:

a_1 = np.array([1.0, 2.0, 3.0])
a_2 = np.array([[1., 2.], [3., 4.]])
b = 2.0  

Expected result:

a_1 * b = array([2.0, 4.0, 6.0]);  
a_2 * b = array([[2., 4.], [6., 8.]])

I`m using python 2.7 if it is relevant to an issue.

This question is related to python python-2.7 numpy numpy-ufunc

The answer is


Using .multiply() (ufunc multiply)

a_1 = np.array([1.0, 2.0, 3.0])
a_2 = np.array([[1., 2.], [3., 4.]])
b = 2.0 

np.multiply(a_1,b)
# array([2., 4., 6.])
np.multiply(a_2,b)
# array([[2., 4.],[6., 8.]])

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