I know that numpy array has a method called shape that returns [No.of rows, No.of columns], and shape[0] gives you the number of rows, shape[1] gives you the number of colum
The concept of rows and columns applies when you have a 2D array. However, the array numpy.array([1,2,3,4])
is a 1D array and so has only one dimension, therefore shape
rightly returns a single valued iterable.
For a 2D version of the same array, consider the following instead:
>>> a = numpy.array([[1,2,3,4]]) # notice the extra square braces
>>> a.shape
(1, 4)