Program 1 # Random Shuffle and Permutations in NumPy #shuffle() and permutation(). import numpy as np from numpy import random # mylist=[’12@56′,’Yu562′,345,’Thg78$’,67.677] # mylist=random.permutation(mylist) # print(mylist[0]) myar=np.array([0,1,1,0]) random.shuffle(myar) #print(myar[0]) if(myar[0]==0): print(“HEAD”) else: print(“TAIL”) #...
Program 1 #Random Distribution in Numpy #Random distribution is a set of random numbers that follow a certain probability density function. # Create a 1-D array which contain 50 values, where each value has...
Program 1 from numpy import random #Random number #randint() , rand() # How to generate Random Array # How to generate Random number from array using choice() # myar=random.choice([10,4,6,1,5,8,7,12,56],size=(5)) # print(myar) # x=random.choice([10,4,6,1,5,8,7,12,56]) #...
Program 1 # Universal Functions in Numpy #Universal Functions are NumPy functions that we use on the ndarray object. # Its also know as ufuncs import numpy as np ar1=[1,2,3,4,5] ar2=[10,20,30,40,50] ar3=[1,1,1,1,1] # print(ar1)...
Program 1 # Random Shuffle and Permutations in NumPy #shuffle() and permutation(). import numpy as np from numpy import random # mylist=[’12@56′,’Yu562′,345,’Thg78$’,67.677] # mylist=random.permutation(mylist) # print(mylist[0]) myar=np.array([0,1,1,0]) random.shuffle(myar) #print(myar[0]) if(myar[0]==0): print(“HEAD”) else: print(“TAIL”) #...
Program 1 # how to Iterating Numpy Arrays # 1D Array , 2D Array , 3D Array # nditer() # How to iterating Numpy array with different data types #How to iterating with different...
Program 1 #Filter in Numpy import numpy as np # mylist=[] # print(“Enter Precentages: “) # for i in range(10): # x=int(input()) # mylist.append(x) # myar=np.array(mylist) # my_filtr=[] # for per in np.nditer(myar): #...
Program 1 import numpy as np userar=[] print(“Enter 10 Elements”) for i in range(10): x=int(input()) userar.append(x) myar=np.array(userar) print(myar) myar=np.sort(myar) print(myar) newar=np.searchsorted(myar,[3,7,9]) print(newar) # myar=np.array([False,True,True,False,True]) # print(myar) # myar=np.sort(myar) # print(myar) # myar=np.array([‘bhavesh’,’amit’,’vivek’,’rahul’,’kapil’]) # print(myar)...
Program 1 # Numpy Difference Universal Function #NumPy LCM (Lowest Common Multiple) #NumPy GCD (Greatest Common Devisor) import numpy as np # myarr = np.array([8, 20, 44, 16, 32,36]) # m = np.gcd.reduce(myarr) #...
Program 1 # Universal Functions in Numpy #Universal Functions are NumPy functions that we use on the ndarray object. # Its also know as ufuncs # import numpy as np # ar1=[10,20,30,40,50] # ar2=[1,2,3,4,5]...
