模拟collections容器解析数据

# -*- coding:utf-8 -*-
import re
import pandas as pd
import numpy as np


package_dict = {
    "com.tencent.mobileqq":"QQ",
    "com.ss.android.ugc.aweme":"抖音",
    "com.qiyi.video":"爱奇艺",
    "com.smile.gifmaker":"快手",
    "tv.danmaku.bili":"哔哩哔哩",
    "com.UCMobile":"UC浏览器",
    "com.autonavi.minimap":"高德地图",
    "com.tencent.mtt":"QQ浏览器",
    "com.tencent.karaoke":"全民k歌",
    "com.ss.android.article.video":"西瓜视频",
    "com.ss.android.article.news":"今日头条",
    "com.sina.weibo":"微博",
    "com.jingdong.app.mall":"京东",
    "com.youku.phone":"优酷",
    "com.suning.mobile.ebuy":"苏宁易购",
    "com.ximalaya.ting.android":"喜马拉雅",
    "com.dianping.v1":"大众点评",
    "com.tencent.qqmusic":"QQ音乐"
}
list_aveTime = []
package_count = dict()
with open("./appStartTimeAm.csv","r") as f:
    for lines in f.readlines():
        line = lines.strip()
        # print(line)
        app_list = line.split(',',6)
        # print(app_list[6])
        app_name = app_list[0].split('/',1)[0]
        waitTime = app_list[4]
        if app_list[6] != "TRUE":
            continue
        app_waitTime = (app_name + ':'+ waitTime).split(':')
        # print(app_waitTime)
        name = app_waitTime[0]
        time = app_waitTime[1]
        if name not in package_count:
            package_count[name] = list()
        package_count[name].append(int(time))

    for key, val in package_count.items():
        name = package_dict[key]
        ave_time =np.mean(val)
        print(name,ave_time)
        list_aveTime.append([name,ave_time]+val)
         # ,columns=['name','ave_time','第1次','第2次','第3次','第4次','第5次','第6次',
         #                                    '第7次','第8次','第9次','第10次']
    df = pd.DataFrame(list_aveTime)
    df.to_excel('waitTime解析结果.xlsx',index=False)

from collections import defaultdict
import pandas as pd

all_data = defaultdict(list)
data = pd.read_csv(r'./appStartTimeAm.csv')
app_name = data['appName']
waitTime = data['waitTime']
ColdStart = data['isNewColdStart']
for Name, wait,cold_start in zip(app_name,waitTime,ColdStart):
    
    print(Name,wait,type(cold_start))
    for i in data['appName'].unique():
        if Name == i and cold_start:
            all_data[Name].append(wait)
        else:
            if isinstance(type(cold_start),float):
                continue

df = pd.DataFrame.from_dict(all_data, orient='index')
df.to_excel("waitTime解析表.xlsx")

标签：容器,name,data,app,list,waitTime,collections,解析,com
来源： https://blog.csdn.net/weixin_38185649/article/details/112843220