Program 1 # reshape(),zeros(),ones(),full(),eye() import numpy as np ar=np.eye(5,dtype=”int”) print(ar) ar1=np.ones((5,5),dtype=”int”) print(ar1) # value=int(input(“Enter Value”)) # ar=np.full((3,4),value) # print(ar) # ar=np.ones((3,4),dtype=”float”) # print(ar) # ar=np.zeros((3,4),dtype=”int32″) # print(ar) # ar1=ar.reshape(4,3) # print(ar1) # ar=np.array([[1,2,3,4],[5,6,7,8],[9,10,11,12]]) #...
Program 1 # arange() , linspace(), logspace() # use to create a array with Numerical values # return type of all above functios are range value #np.arange(start,stop,step,type) import numpy as np ar=np.logspace(1,5,5,dtype=”int”) print(ar) #linespace...
Program 1 # ndim , shape , size , dtype , itemsize , nbyte # max() , min(),sum(),mean() ,any(),all(),where() import numpy as np # any(),all(),where() ar1=np.array([48,13,27,330,448,50,77,88,399,12]) # old price ar2=np.array([45,13,27,330,448,50,77,88,399,12]) # new price ar3=np.where(ar1%2==0,ar1,0)...
Program 1 #Data Type of Array in Numpy # i – integer # u – unsigned integer # f – float # b – boolean # S – string # U – unicode string...
Program 1 # import numpy # from numpy import * import numpy as np # ar0=np.array(100) # print(ar0.ndim) # print(type(ar0)) # print(ar0) ar1=np.array([5,10,20,30,40,50]) # print(ar1.ndim) # print(type(ar1)) # print(ar1) # ar2=np.array([[5,10,20],[30,40,50]]) # print(ar2.ndim) #...
Program 1 import numpy as np ar1=np.arange(1,7).reshape(2,3) ar2=np.arange(7,13).reshape(2,3) print(ar1) print(ar2) #column=0,Row=1 print(“Concat method”) # ar3=np.concatenate((ar1,ar2),axis=1) # print(ar3) print(“Stack Column Wise”) ar3=np.stack((ar1,ar2),axis=1) print(ar3) print(“H Stack”) ar3=np.hstack((ar1,ar2)) print(ar3) # # print(“V Stack “) # ar3=np.vstack((ar1,ar2)) #...
Program 1 import numpy as np ar=np.arange(1,11,1) print(ar) print(“Address of My Array-:”,id(ar)) ar_ref=ar print(ar_ref) print(“Address of My Reference Array-:”,id(ar)) ar[3]=500 ar_ref[5]=800 print(“After Change: “) print(ar) print(ar_ref) Program 2 import numpy as np ar=np.arange(1,11,1) print(ar)...
Program 1 import numpy as np print(ar) # ar=np.array([[7,5,6],[4,1,2],[8,9,3]]) # print(ar) # print(ar.size) # print(ar.shape) #print(np.amax(ar)) # print(“Column wise max”) # print(np.amax(ar,axis=0)) # Column wise # print(“Row wise max”) # print(np.amax(ar,axis=1)) # Row wise...
Program 1 import numpy as np ar1=np.array([[10,15,30],[30,45,50],[60,76,80]]) ar2=np.array([[1,2,3],[4,5,6],[7,8,9]]) print(ar1) print(ar1.shape) print(“————————“) print(ar2) print(ar2.shape) print(ar1+ar2) print(ar1-ar2) print(ar1/ar2) print(ar1//ar2) print(ar1%10) # ar3=np.add(ar1,ar2) # print(ar3) # ar3=np.subtract(ar1,ar2) # print(ar3) # ar3=np.multiply(ar1,ar2) # print(ar3) # ar3=np.divide(ar1,ar2) # print(ar3)...
Program 1 import numpy as np ar=np.arange(1,7,1).reshape(2,3) print(ar) print(np.vsplit(ar,2)) # newar=np.array_split(ar,4) # print(newar) # newar=np.split(ar,2) # print(newar)
