python学习之numpy实战

import numpy as np

def 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])) #两行四列
    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()