python数据统计量分析

#-*- coding: utf-8 -*-
#餐饮销量数据统计量分析
from __future__ import print_function
import pandas as pd

catering_sale = ‘../data/catering_sale.xls‘ #餐饮数据
data = pd.read_excel(catering_sale, index_col = u‘日期‘) #读取数据，指定“日期”列为索引列
data = data[(data[u‘销量‘] > 400)&(data[u‘销量‘] < 5000)] #过滤异常数据
statistics = data.describe() #保存基本统计量

statistics.loc[‘range‘] = statistics.loc[‘max‘]-statistics.loc[‘min‘] #极差
statistics.loc[‘var‘] = statistics.loc[‘std‘]/statistics.loc[‘mean‘] #变异系数
statistics.loc[‘dis‘] = statistics.loc[‘75%‘]-statistics.loc[‘25%‘] #四分位数间距

print(statistics)

D:\Download\python3\python3.exe "E:/A正在学习/python data dig/chapter3/demo/code/3-2_statistics_analyze.py"
                销量
count   195.000000
mean   2744.595385
std     424.739407
min     865.000000
25%    2460.600000
50%    2655.900000
75%    3023.200000
max    4065.200000
range  3200.200000
var       0.154755
dis     562.600000

Process finished with exit code 0