python numpy 学习笔记（6）

这次主要介绍numpy下的clip，compress，prod，以及cumprod方法：

# -*- coding:utf-8 -*-from numpy import *a = arange(5)print "a = ", aprint "clipped",a.clip(1, 2)#    使用clipped修剪数组，将比最小值1小的数变成最小值，比最大值2大的数变成最大值、b = arange(4)print "b = ", bprint "compressed", b.compress(b > 2)#   使用compressed压缩数组c = array([1, 5, 9, 10])print "c = ", cprint "changed ", c.prod()#   数组累乘获得结果d = array([1, 5, 9, 10])print "d = ", dprint "changed ", d.cumprod()#   数组每一个元素的结果#   计算阶乘 8！e = arange(1,8)print "e = ", eprint "factorial",e.prod()print "factorial",e.cumprod()