一、Numpy数据分析

import numpy as np
import randomlist=[]
for i in range(1,11):n=random.randint(10,99)list.insert(i,n)
arr1=np.array(list)
m1=np.max(arr1);  n1=np.min(arr1);  a1=np.average(arr1)
print("一维数组:")
print(arr1)
print("数据分析：最大值是=",m1,end=' '); print("最小值是=",n1,end=' '); print("平均值是=",a1)print("-----------------------------------------------------")
list1=[]
for i in range (1,26):nn=random.randint(10,99)list1.insert(i,nn)
arr2=np.array(list1)
arr2.shape=(5,5)
m2=np.max(arr2);  n2=np.min(arr2);  a2=np.average(arr2)
print("二维数组：")
print(arr2)
print("数据分析：最大值是=",m2,end=' '); print("最小值是=",n2,end=' '); print("平均值是=",a2,end=' ')

运行结果：

二、类的单继承

class person():name=' 'age=0def __init__(self,n,a):self.name=nself.age=adef speak(self):print("my name is",self.name,", I am",self.age,"years old,")class teacher(person):__profession=' '__title=' '__course=' 'def __init__(self,n,a,p,t,c):person.__init__(self,n,a)self.__profession=pself.__title=tself.__course=cdef speak(self):print('my name is %s, I am %d years old,\nAnd my profession is %s,\nmy title is %s,\nmy master course is %s.\nthank you!'%(self.name,self.age,self.__profession,self.__title,self.__course))
s=teacher('python',18,'computer science and technology','associate professor','Python programming desiging')
s.speak()

运行结果：

三、TXT文件操作

t=open("test.txt","w+")#以读写模式打开for i in range (5):#默认从0开始，不到5，即0,1,2,3,4t.write("python"+str(i+1)+"\n") #写入
t.close() #关闭文件，保证文件写入后得到保存t=open("test.txt","r")
print("读5个字符是："+t.read(5)) #读t.seek(0)
print("读第一行字符串是: "+t.readline(),end='')#读一行t.seek(t.tell()*2)
print("读第三行字符串是："+t.readline())#读一行t.seek(0)
print("读所有行字符串是：")
s=t.readlines()#以列表形式返回
#print(s)
for line in s:print(line[:-1],end=' ') #不读入换行符'\n',以空格隔开t.close()

运行结果：

四、CSV文件操作

import csv
list1=[[1,2,3],[4,5,6],[7,8,9]]
#print(list1)t=open("test.csv","w+",newline='')#无newline='' 会导致行数据间有一空行
c=csv.writer(t,dialect="excel")#编码风格for i in range(len(list1)):c.writerow(list1[i])
t.close()c1=csv.reader(open("test.csv",encoding="utf-8"))
for row in c1:print(row)

运行结果：