一、数据：
名称 | 空气质量 | 污染程度 | 其他 | 得分 |
|---|---|---|---|---|
上海 | 44.5 | 8.151949 | 14.46154 | 67.11349 |
北京 | 34 | 8.095238 | 15.15873 | 57.25397 |
广州 | 33 | 10.23364 | 13.27103 | 56.50467 |
成都 | 38.5 | 10.2129 | 15.94406 | 64.65695 |
武汉 | 42.5 | 13.26796 | 18.52273 | 74.29069 |
南京 | 50 | 7.461452 | 14.63576 | 72.09721 |
重庆 | 50 | 11.16099 | 15.21127 | 76.37226 |
南昌 | 48.5 | 12.3913 | 17.82609 | 78.71739 |
贵阳 | 49.5 | 30 | 20 | 99.5 |
二、处理脚本：
代码语言：javascript复制#!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
使用python对数据排序。
# date 2016-11-10
'''
import xlrd
def Read_execl_ranking(FileName,WorkTable='Sheet1'):
#对数据排序，优化版本。
workbook = xlrd.open_workbook(FileName)
sheet_name = workbook.sheet_names()[1]
sheet = workbook.sheet_by_index(1)
sheet = workbook.sheet_by_name(WorkTable)
print ("各项排名！")
print ('-'*20)
for j in range(1,sheet.ncols):
lie = {}
print (sheet.cell(0,j).value "：")
for i in range(1,sheet.nrows):
lie[sheet.cell(i,0).value] = sheet.cell(i,j).value
i = i 1
newlie = sorted(lie.items(),key = lambda d:d[1],reverse = True)
for i in range(0,len(newlie)):
print (newlie[i][0] ":" str(newlie[i][1]) "分，" ,end = ' ')
i = i 1
print ("")
if __name__ == "__main__":
FileName=r'execl_test.xlsx'
Read_execl_ranking(FileName=FileName,WorkTable='Sheet4')三、结果图：
