I frequently encounter situations where I need to load data from a Pandas DataFrame into NumPy arrays, perform computations, and then update the DataFrame. Typically, I have two approaches: Loading ...
ar2=np.array([[1,2,10,11,12],[3,4,13,14,15],[5,6,16,17,18],[7,8,19,20,21]]) ...