python學習之numpy實戰

標籤：msi   array   python學習   range   type   pytho   name   distrib   one   

import numpy as npdef main():    lst=[[1,3,5],[2,4,6]]    print(‘hello world‘)    print(type(lst))    np_lst = np.array(lst)    print(type(np_lst))    np_lst = np.array(lst,dtype=np.float)    print(type(np_lst))    print(np_lst.shape)    print(np_lst.ndim)    print(np_lst.dtype)    print(np_lst.itemsize)    print(np_lst.size)    #2 Some Arrays    print(np.zeros([2,4])) #兩行四列    print(np.ones([3,5]))    print("Rand:")    print(np.random.rand(2,4))    print(np.random.rand())    print("RandInt:")    print(np.random.randint(1,10,3))    print("Randn:")    print(np.random.randn(2,4))    print("Choice:")    print(np.random.choice([10,20,30,40]))    print("Distribute:")    print(np.random.beta(1,20,100))    #3 numpy Opes    lst=np.arange(1,11).reshape([2,-1])    print("exp:")    print(np.exp(lst))    print("exp2:")    print(np.exp2(lst))    print("sqrt:")    print(np.sqrt(lst))    print("sin:")    print(np.sin(lst))    print("log:")    print(np.log(lst))if __name__ == ‘__main__‘:    main()

　　

python學習之numpy實戰