The primer on Python reads about 2D arrays as follows,‘Two-dimensional arrays have more than one row and more than one column’
However while trying this: Two_d_array=np.array([[1],[2],[3]]) (I am sure you noticed that I just put one column)
Still the Two_d_array.ndim gives 2 as o/p .
Please enlighten 
Hi Amardeep,
Even though np.array([[1], [2], [3]]) looks like it’s just a single column, NumPy still considers it 2D because it has both rows and columns. The shape (3,1) tells us there are 3 rows and 1 column, which is enough for NumPy to classify it as two-dimensional. Basically, if there are nested brackets, NumPy assumes it’s at least 2D. If you wanted a true 1D array, you’d go with np.array([1, 2, 3]), which has a shape of (3,) and just one axis.