数据分析-----------numpy 学习

import  numpy as nu
n1=nu.array([0,2,5,6,8])

n2=nu.arange(5)
# print(n1*2+n2*4)
# print(n1[2:])
print(n1.max())
print(n1.min())
print(n1.sum())

a = nu.array([[11, 12, 13, 14, 15],
              [16, 17, 18, 19, 20],
              [21, 22, 23, 24, 25],
              [26, 27, 28 ,29, 30],
              [31, 32, 33, 34, 35]])

print(a[2,4])

 

import  numpy.matlib

a=numpy.arange(15).reshape(3,5)
print(a)
print(a.sum(axis=0))
print(a.sum(axis=1))
print(a.cumsum(axis=1))
print(numpy.exp(a))
print(numpy.sqrt(a))
print(a.T.shape)

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Origin blog.csdn.net/testManger/article/details/113058930