Array attributes in numpy || numpy|| numeric python|| || Ak

import numpy as np a = np.array([[1,2,3],[4,5,6]])#that means its 2darray of 3element in each print (a.shape)#just printing the shape of our array # this resizes the ndarray a = np.array([[1,2,3],[4,5,6]]) a.shape = (3,2) #w want to make it 3d array print (a)#3d array of 2elements #numpy also prov a = np.array([[1,2,3],[4,5,6]]) b = a.reshape(3,2) print (b)# can be done same task with reshape keyword # an array of evenly spaced numbers a = np.arange(20) print (a) #evenly spaced usefull for next videos of numpy # this is one dimensional array a = np.arange(24) b=a.ndim #count dim print(b) # now reshape it b = a.reshape(2,4,3) #2d array of 4col and 3rows print(b) # b is having three dimensions #dtype of array is int8 (1 byte) x = np.array([1,2,3,4,5], dtype = np.int8) x = np.array([1,2,3,4,5], dtype=np.complex128) x = np.array([1,2,3,4,5], dtype=np.float64) print (x.itemsize)#differs on datatypes