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Commite446d13

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2024/03/26 - Updating Demo python files
1 parent457f166 commite446d13

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# This file provides demo for numpy module
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importnumpyasnp
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importrandom
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definitialisation_demo():
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# To create empty array
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arr=np.zeros(5,'i')
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print("Empty arr: ",arr," dtype:",arr.dtype," dimension: ",arr.ndim)
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str_arr=np.zeros(5,"O")
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print("Empty string arr: ",str_arr," dtype:",str_arr.dtype," dimension: ",str_arr.ndim)
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arr=np.ones(5,'i')
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print("Array with ones : ",arr," dtype:",arr.dtype," dimension: ",arr.ndim)
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str_arr=np.full(5,"Test",object)
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print("String arr with default values: ",str_arr," dtype:",str_arr.dtype," dimension: ",str_arr.ndim)
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zero_like_arr=np.zeros_like(arr)
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print("zero_like_arr: ",zero_like_arr," dtype:",
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zero_like_arr.dtype," dimension: ",zero_like_arr.ndim)
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one_like_arr=np.ones_like(str_arr,dtype='f',shape=2)
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print("one_like_arr: ",one_like_arr," dtype:",one_like_arr.dtype,
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" dimension: ",one_like_arr.ndim)
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full_like_arr=np.full_like(one_like_arr,fill_value="Hi",dtype=object,shape=[1,2])
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print("full_like_arr: ",full_like_arr," dtype:",full_like_arr.dtype,
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" dimension: ",full_like_arr.ndim)
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defone_dimensional_array():
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num_list=random.sample(range(0,100),7)
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arr=np.array(num_list,'i')
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print("Accessing elements using indexing of one dimensional array")
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foriinrange(arr.size):
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print(f"arr[{i}]:{arr[i]}",end="\t")
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print("")
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print("Updating value at 2nd position to 39")
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arr[1]=39
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print("Post updating value at 2nd position: ",arr)
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print("Updating values at more than one position using slicing "
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" i.e. position 6 and 7 ")
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arr[5:7]=29
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print("Post updating value at 6th and 7th position: ",arr)
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print("Array from 2nd element till 7th element "
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"with skip = 2 "
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"using slicing: ",arr[1:6:2])
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print("To access array using negative indexing ",arr[-3:])
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print("To reverse array ",arr[::-1])
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deftwo_dimensional_arr():
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# empty array with zero values
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arr=np.zeros((2,2),dtype='i')
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print("2-D array with zero values ",arr)
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# initialising array with values
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arr=np.array([[1,2], [3,4], [5,6], [7,8], [9,-1]],dtype='i')
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print("2-D array with initial values ",arr," dimension: ",arr.ndim,
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" Data type: ",arr.dtype," size of array: ",arr.size,
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"shape: ",arr.shape)
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# accessing elements using index
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print("element at 1st row and 2nd column: ",arr[1,1])
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# updating value at particular position
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print("update value at 1st row and 2nd column to 9")
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arr[1,1]=9
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print("Array post updating element at 1st row and 2nd column")
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print(arr)
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# updating value at multiple position
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print("update value at 2nd row: 7")
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arr[2:3]=7
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print("Array post updating element at 3rd row")
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print(arr)
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new_arr=arr[1:4:2]
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# get 2-D array from existing one
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print("Getting new 2-D array from existing one using"
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"slicing",new_arr," shape: ",new_arr.shape)
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new_arr=arr[1:4:2,0:1]
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# get 2-D array from existing one with one column
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print("Getting new 2-D array with one column "
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"from existing one using"
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"slicing",new_arr," shape: ",new_arr.shape)
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# reverse 2-D array
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print("Reverse 2-D array ",arr[::-1])
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defcopy_and_view_demo():
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arr=np.array([1,2,3,4],dtype=int)
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print("Original arr : ",arr," base: ",arr.base)
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arr1=arr.copy()
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print("Copied arr : ",arr1," base: ",arr1.base)
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arr2=arr.view()
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print("Viewed arr : ",arr2," base: ",arr2.base)
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print("updating element at 1st index "
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"in copied array with value 5 and"
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"view with value 7")
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arr1[1]=5
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arr2[2]=7
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print("post update")
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print(f"original array:{arr}")
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print(f"Copied array:{arr1}")
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print(f"view:{arr2}")
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defshapeDemo():
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arr=np.full((3,2),1,dtype='i')
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foriinarr:
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forjini:
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print(j,end="\t")
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print("")
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defreShapeDemo():
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num_list=random.sample(range(1,100),7)
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arr=np.array(num_list,dtype='i')
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print(f"Input array before resize:{arr} with shape:{arr.shape} and base:{arr.base}")
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try:
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reshaped_arr=np.reshape(arr,newshape=(2,4))
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exceptValueErrorasv:
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print("Error received : ",v)
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print("Need to resize now input array !!!")
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arr=np.resize(arr,8)
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print(f"Input array post resize:{arr} with shape:{arr.shape} and base:{arr.base}")
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reshaped_arr=np.reshape(arr,newshape=(2,4))
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print(f"Reshaped array with new shape:{reshaped_arr.shape} and base:{reshaped_arr.base}")
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foriinreshaped_arr:
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forjini:
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print(j,end="\t")
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print("")
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finally:
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print("-"*50)
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defreShapeDemo2():
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arr=np.array([[1,2,3], [4,5,6]],dtype='i')
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print(f"Input array before reshape:{arr} with shape:{arr.shape} and base:{arr.base}")
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arr1=arr.flatten()
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arr2=arr.ravel()
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print("Flatten existing array: ",arr1," with base: ",arr1.base)
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print("ravel existing array: ",arr2," with base: ",arr2.base)
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defitrDemo():
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arr=np.array([[1,2,3], [4,5,6]],dtype='i')
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forxinnp.nditer(arr[::, :2],flags=['buffered'],op_dtypes='S'):
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print(x)
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defjoinDemo():
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arr1=np.array([1,2,3,4,5],dtype='i')
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arr2=np.array([7,8,9,10,11],dtype='i')
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# using concatenate
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print(np.concatenate((arr1,arr2)))
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# using stack
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print(np.stack((arr1,arr2),axis=1))
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# using hstack
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print(np.hstack((arr1,arr2)))
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# using vstack
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print(np.vstack((arr1,arr2)))
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defmain():
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print("Version of numpy",np.__version__)
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reShapeDemo()
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if__name__=="__main__":
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main()
Lines changed: 60 additions & 0 deletions
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fromnumpyimportrandom
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importnumpyasnp
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defgenerateRandomNumbers():
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print("Random int: ",random.randint(0,10))
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print("Random float between 0 and 1: ",random.rand())
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print("Random float between 10 and 20: ",random.uniform(10,20))
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print("-"*25)
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defgenerateRandomArrays():
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print("One Dimensional array")
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print("Random int array: ",random.randint(low=5,high=12,size=5))
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print("Random float array: ",random.rand(3))
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print("Random float array of 5 elements between 10 and 20: ",random.uniform(10,20,5))
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print("-"*25)
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defgenerateRandomArrays2():
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print("Two Dimensional array")
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print("Random int array: ",random.randint(low=5,high=12,size=(2,3)))
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print("Random float array: ",random.rand(3,2))
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print("Random float array of 5 elements between 10 and 20: ",random.uniform(10,20, (2,2)))
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print("-"*25)
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defgenerateRandomArraysWithChoice():
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print("generateRandomArraysWithChoice")
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print("Random int array with choice : ",random.choice([10,20,30,40,11],3))
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print("Random int array with choice and probability: ",random.choice([10,20,30],6,p=[0.25,0.45,0.30]))
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print("Random float array with choice : ",random.choice([10.5,12.0,11.25,31.5],3))
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print("-"*25)
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defshuffle_and_permutation_demo():
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arr=np.array([1,2,3,4,5])
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print("Array before shuffling: ",arr)
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random.shuffle(arr)
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print("Array post shuffling: ",arr)
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arr=np.array([6,7,8,9])
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print("Input Array before permutation: ",arr)
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permutation_arr=random.permutation(arr)
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print("Input Array post permutation: ",arr)
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print("Permutation Array post permutation: ",permutation_arr)
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print("-"*25)
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defmain():
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print("Version of numpy",np.__version__)
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generateRandomNumbers()
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generateRandomArrays()
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generateRandomArrays2()
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generateRandomArraysWithChoice()
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shuffle_and_permutation_demo()
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if__name__=="__main__":
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main()

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