If the num argument of numpy.linspace is larger than 1, it will return a Quantity 1D. If the num argument is 1 it will return a normal numpy array. Example: In [4]: np.linspace(1.0 * pq.s, 4.0 * pq ...

#linspace:- linear spacing where both 1st and last is inclusive vec3=np.linspace(0,20,10) print(vec3) #reshape- it reshapes the vector into matrix vec3.reshape(5,2) #to make one and zero matrix ...

Python allows free creation of plots, unlike expensive, stagnant graphing calculators. Import NumPy and Matplotlib for basic linear and polynomial plots in Python. ... np.linspace(-10, 10) ...