Dear all, if I have two ndarray arr1 and arr2 (with the same shape), is there some difference when I do:
arr = arr1 + arr2 and arr = np.add(arr1, arr2), and then if I have more than 2 arrays: arr1, arr2, arr3, arr4, arr5, then I cannot use np.add anymore as it only recieves 2 arguments. then what's the best practice to add these arrays? should I do arr = arr1 + arr2 + arr3 + arr4 + arr5 or I do arr = np.sum(np.array([arr1, arr2, arr3, arr4, arr5]), axis=0)? because I just noticed recently that there are functions like np.add, np.divide, np.substract... before I am using all like directly arr1/arr2, rather than np.divide(arr1,arr2). best regards, Chao -- *********************************************************************************** Chao YUE Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL) UMR 1572 CEA-CNRS-UVSQ Batiment 712 - Pe 119 91191 GIF Sur YVETTE Cedex Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16 ************************************************************************************
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