1、开方与求e指数

import numpy as npfrom numpy.matlib import randnprint "Test sqrt and exp"arr = np.arange(10)print np.sqrt(arr)#开方print np.exp(arr)#求exp

 

 2、条件Merge

print "test max-merge" #取x和y中对应位置较大的item组成新数组x=randn(8)y=randn(8)print x;print y;print np.maximum(x,y) print "test condition-merge" #根据condition matrix，true时取tMat，false取fMattMat = np.arange(10)fMat = np.arange(0,-10,-1)conMat = [True,False,True,False,True,False,True,False,True,False] result=np.where(conMat,tMat,fMat) #condition clauseprint resultrdmMat = randn(10)result=np.where(rdmMat>0,tMat,fMat) #the three matrix should have same sizeprint result

 

3、Statistic functions

print "test statistics functions"rdmMat1 = randn(10,3)print rdmMat1.mean() #计算所有元素的均值print np.mean(rdmMat1) print np.mean(rdmMat1, 0) #column meanprint np.mean(rdmMat1, 1) #row meanprint np.sum(rdmMat1)print np.sum(rdmMat1,0) #column sumprint np.sum(rdmMat1,1) #row sum

 

4、布尔函数

print "test bool functions"rdmMat2 = randn(10)numberOfTrue = (rdmMat2>0).sum() #true的个数print numberOfTruerdmMat3 = np.array([True,True,False,True])print rdmMat3.any() #是否含有至少一个trueprint rdmMat3.all() #是否全为true

 5、排序函数

print "test sort"print np.sort(rdmMat2) #np.sort() doesn't change the original matrixprint rdmMat2rdmMat2.sort() #python's sort changes the matrixprint rdmMat2rdm53 = randn(5,3)print np.sort(rdm53,1)print rdm53rdm53.sort(1)print rdm53rdm53.sort(0)print rdm53

 6、包含操作

print "test set operation"names = np.array(['Tom','Dean','Won','Tom','Tom','Dean'])print np.unique(names)#取出唯一的项，按照字典序排列print np.unique(names,1,1,1)#第二个参数，会给出这几个值第一次出现的索引#第三个参数，会给出这几个值出现的所有索引位置#第四个参数，给出这几个值出现的次数

 

7、测试两个数组内各个元素元素的包含关系

print "test in1d"arrayA = np.array([3,6,9,3,3,6,6,9,9])arrayB = np.array([3,7,9])print np.in1d(arrayB,arrayA)print np.in1d(arrayA,arrayB)