python品牌探针开发

数据格式如下

有每个品牌的关注imei

#encoding:utf-8
import os
import pandas as pd

uv_table = pd.read_table('nan1.txt', sep = '\t', encoding = 'utf-8')
print(uv_table.columns)

uv_table['uv1'] = 1

brand_list = list(uv_table['brand'].drop_duplicates())

uv_cross = []

for i in brand_list:
	for j in brand_list:
		temp = {}
		data1 = uv_table[uv_table['brand'] == i]
		data2 = uv_table[uv_table['brand'] == j]
		data_join = pd.merge(data1, data2, how = 'inner', on = ['imei'])
		uv = len(data_join)
		temp['brand1'] = i
		temp['brand2'] = j
		temp['uv_cross'] = uv
		uv_cross.append(temp)
		print (u'正在计算品牌 %s，品牌 %s 的交叉UV' %(i, j))

result = pd.DataFrame(uv_cross)
result.to_csv('result.csv',encoding='utf_8_sig',index=False)

结果：