解决cumcm17问题的代码记录（待改正）

使用到的模块有pyecharts,pandas,selenium,time,Interval,re,requests,random
（以后会在这个系统逐渐记录解决问题所遇到的模块详细的学习过程）

# 所有数据的可视化
# 加载pyecharts
from pyecharts import Geo, Style
import pandas as pd# 导入excel表
df = pd.read_excel('处理1.xlsx')
df.head()
# 导入自定义的地点经纬度
geo_cities_coords = {df.iloc[i]['任务号码']: [df.iloc[i]['任务gps经度'], df.iloc[i]['任务gps 纬度']]for i in range(len(df))}
attr = list(df['任务号码'])
value = list(df['任务标价'])
style = Style(title_color="#fff", title_pos="center",width=1200, height=600, background_color="#404a59")# 可视化
geo = Geo('所有数据情况图', **style.init_style)
geo.add("", attr, value, visual_range=[65, 85], symbol_size=5,visual_text_color="#fff", is_piecewise=True,is_visualmap=True, maptype='广东', visual_split_number=10,geo_cities_coords=geo_cities_coords,pieces=[{'max':85,'min':83.5,'label':'83.5-85'},{'max':83,'min':81.5,'label':'81.5-83'},{'max':81,'min':79.5,'label':'79.5-81'},{'max':79,'min':77.5,'label':'77.5-79'},{'max':77,'min':75.5,'label':'75.5-77'},{'max':75.5,'min':73.5,'label':'73.5-75'},{'max':73,'min':71.5,'label':'71.5-73'},{'max':71,'min':69.5,'label':'69.5-71'},{'max':69,'min':67.5,'label':'67.5-69'},{'max':67,'min':65,'label':'65-67'}])
geo.render('所有数据可视化.html')

# 完成点的数据可视化
# 加载pyecharts
from pyecharts import Geo, Style
import pandas as pd# 导入excel表
df = pd.read_excel('test1.xlsx')
df.head()
# 导入自定义的地点经纬度
geo_cities_coords = {df.iloc[i]['任务号码']: [df.iloc[i]['任务gps经度'], df.iloc[i]['任务gps 纬度']]for i in range(len(df))}
attr = list(df['任务号码'])
value = list(df['任务标价'])
style = Style(title_color="#fff", title_pos="center",width=1200, height=600, background_color="#404a59")# 可视化
geo = Geo('完成数据情况图', **style.init_style)
geo.add("", attr, value, visual_range=[65, 85], symbol_size=5,visual_text_color="#fff", is_piecewise=True,is_visualmap=True, maptype='广东', visual_split_number=10,geo_cities_coords=geo_cities_coords,pieces=[{'max':85,'min':83.5,'label':'83.5-85'},{'max':83,'min':81.5,'label':'81.5-83'},{'max':81,'min':79.5,'label':'79.5-81'},{'max':79,'min':77.5,'label':'77.5-79'},{'max':77,'min':75.5,'label':'75.5-77'},{'max':75.5,'min':73.5,'label':'73.5-75'},{'max':73,'min':71.5,'label':'71.5-73'},{'max':71,'min':69.5,'label':'69.5-71'},{'max':69,'min':67.5,'label':'67.5-69'},{'max':67,'min':65,'label':'65-67'}])
geo.render('完成数据可视化.html')

# 未完成数据的可视化
# 加载pyecharts
from pyecharts import Geo, Style
import pandas as pd# 导入excel表
df = pd.read_excel('test0.xlsx')
df.head()
# 导入自定义的地点经纬度
geo_cities_coords = {df.iloc[i]['任务号码']: [df.iloc[i]['任务gps经度'], df.iloc[i]['任务gps 纬度']]for i in range(len(df))}
attr = list(df['任务号码'])
value = list(df['任务标价'])
style = Style(title_color="#fff", title_pos="center",width=1200, height=600, background_color="#404a59")# 可视化
geo = Geo('未完成数据情况图', **style.init_style)
geo.add("", attr, value, visual_range=[65, 85], symbol_size=5,visual_text_color="#fff", is_piecewise=True,is_visualmap=True, maptype='广东', visual_split_number=10,geo_cities_coords=geo_cities_coords,pieces=[{'max':85,'min':83.5,'label':'83.5-85'},{'max':83,'min':81.5,'label':'81.5-83'},{'max':81,'min':79.5,'label':'79.5-81'},{'max':79,'min':77.5,'label':'77.5-79'},{'max':77,'min':75.5,'label':'75.5-77'},{'max':75.5,'min':73.5,'label':'73.5-75'},{'max':73,'min':71.5,'label':'71.5-73'},{'max':71,'min':69.5,'label':'69.5-71'},{'max':69,'min':67.5,'label':'67.5-69'},{'max':67,'min':65,'label':'65-67'}])
geo.render('未完成可视化.html')

# 利用经纬度进行位置判断
from selenium import webdriver
import pandas as pd
import timedf = pd.read_excel('处理1.xlsx',converters={'任务号码':str,'任务gps 纬度':str,'任务gps经度':str})
df.head()
# print(df)
key = df['任务gps经度'] + ',' + df['任务gps 纬度']
# print(type(key))
num = df['任务号码']
filmlist = []
flag = 0for i in key:#print(i)url = 'https://www.bejson.com/convert/map/'driver = webdriver.Chrome()driver.get(url)driver.find_element_by_xpath('//*[@id="primaryradio2"]').click()driver.find_element_by_xpath('//*[@id="txtSearch"]').send_keys(i)driver.find_element_by_xpath('//*[@id="myPageTop"]/div[1]/div[2]/span/a').click()time.sleep(1)area = driver.find_element_by_xpath('//*[@id="btnCurrentCity"]/span').get_attribute('innerHTML')time.sleep(0.5)flag += 1dic = {}dic['定位地区'] = areadic['任务号码'] = num[list(key).index(i)]# print(num[list(key).index(i)])print(area)filmlist.append(dic)driver.quit()# 有问题
# with open(r'D:\pycharm\PycharmProjects\pic/'+'成功率.csv','w',encoding='utf-8',newline='') as dic_f:
#     # 创建表头
#     writer = csv.DictWriter(dic_f,fieldnames=['任务号码','定位地区'])
#     # 写入表头
#     writer.writeheader()
#     for i in filmlist:
#         writer.writerow(i)

# 基于任务点的会员密集程度(简单版)
import pandas as pd
from interval import Intervaldf1 = pd.read_excel('会员经纬度.xlsx',converters={'v经度':float,'v纬度':float})
df1.head()
# print(df)df2 = pd.read_excel('任务范围.xlsx',converters={'max经度':float,'max纬度':float,'min经度':float,'min纬度':float})
df2.head()
# print(df2)k = 1
for i in df2['max经度']:for j in df1['v经度']:# print(list(df2['max经度']).index(i))# print(list(df1['v经度'])[list(df2['max经度']).index(i)])p = 0vj = j# print(vj)vw = list(df1['v纬度'])[list(df1['v经度']).index(j)]# print(vw)maxj = i# print(maxj)minj = list(df2['min经度'])[list(df2['max经度']).index(i)]# print(minj)maxw = list(df2['max纬度'])[list(df2['max经度']).index(i)]# print(maxw)minw = list(df2['min纬度'])[list(df2['max经度']).index(i)]# print(minw)print('--------')# 有问题if vj in Interval(minj,maxj) and vw in Interval(minw,maxw):p += 1else:k += 1print(p)

# 基于任务点的会员密集程度(复杂版)
import pandas as pd
import re
import requests
import randomdf = pd.read_excel('中心点经纬度及会员经纬度.xlsx',converters={'c经度':str,'c纬度':str,'v经度':str,'v纬度':str})
df.head()
# print(df)r = 216.3
key1 = df['c经度'] + '%2C' + df['c纬度']
key2 = df['v经度'] + '%2C' + df['v纬度']# print(key1)
# print(key2)
p = 1
for k in key1:for i in key2:try:base_url = 'http://boulter.com/gps/distance/'# http://boulter.com/gps/distance/?from=114.001053133118%2C22.9915954333008&to=113.679983%2C22.947097&units=m# http://boulter.com/gps/distance/?from=114.001053133118%2C22.9915954333008&to=106.239083%2C29.560903&units=murl = base_url + '?from=' + k + '&to=' + i + '&units=m'# print(url)j = 0if url != []:# print(url)headers_choice = [{'User-Agent': 'Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50safari 5.1 – Windows'},{'User-Agent': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Maxthon 2.0)TT'}, {'User-Agent': '?Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SE 2.X MetaSr 1.0; SE 2.X MetaSr 1.0; .NET CLR 2.0.50727; SE 2.X MetaSr 1.0)'},{'User-Agent': 'Mozilla/5.0 (iPhone; U; CPU iPhone OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5'},{'User-Agent': 'MQQBrowser/26 Mozilla/5.0 (Linux; U; Android 2.3.7; zh-cn; MB200 Build/GRJ22; CyanogenMod-7) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1'},{'User-Agent': 'Mozilla/5.0 (compatible; MSIE 9.0; Windows Phone OS 7.5; Trident/5.0; IEMobile/9.0; HTC; Titan)'},{'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_0) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11'},{'User-Agent': 'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1)Firefox 4.0.1 – MAC'}]headers = random.choice(headers_choice)# 奇葩网站，不能设置代理ip，一设置便获得不了信息response = requests.get(url,headers=headers)# print(response)response.encoding = response.apparent_encodinghtml = response.text# print(html)d = re.findall(r'</TD><TD>(.*?) miles \w*? .*?\n<INPUT TYPE=HIDDEN VALUE="Waypoint 01" NAME=name0>',html)[0]# print(d)# print('完成了一次')if float(d) < r:j += 1else:continueexcept:continueprint(f'第{p}个点的密集度为{j}')p += 1print('---------------------')

解决cumcm17问题的代码记录（待改正）相关推荐

php fpm 日志记录,如何解决nginx下php-fpm不记录php报错日志的问题
如何解决nginx下php-fpm不记录php报错日志的问题发布时间:2020-07-28 10:17:29 来源:亿速云阅读:150 作者:Leah 本篇文章为大家展示了如何解决nginx下ph ...
c语言让系统蓝屏,0x000000116,教您解决电脑蓝屏代码0x000000116
我们知道电脑使用不当会导致蓝屏甚至无法启动,而原因有很多,像常见的硬件之间不兼容,软件之间不兼容等,针对不同原因导致的电脑蓝屏,解决方法有所差别.而蓝屏代码0x000000116有是什么情况,该怎么解 ...
【我的笔记】VScode遇到的小问题以及个人配置代码记录
笔记记录bug,arduino选不了板个人配置代码记录环境搭建及编译时中文乱码问题下载页面的使用说明库的配置记录bug,arduino选不了板开发arduino我用VScode,但是最近 ...
微服务并不能解决你的烂代码问题
" 微服务并不能解决你的烂代码问题很久以来,软件的交付质量一直是一个大家比较关心的问题,而程序员和架构师也一直在极力寻找一种更好的方式来构建应用系统.随着互联网爆炸式的增长,对于系统的交付 ...
python怎么重启内核_解决jupyter运行pyqt代码内核重启的问题
在jupyter notebook或者是 Qtconsole下编译运行一个简单的pyqt程序,总是报错: The kernel appears to have died. It will restar ...
uiautomator 代码记录：BT接收测试
uiautomator 代码记录 :BT接收测试 package rom;import java.lang.*; import java.util.Random; import java.io.Fil ...
[解决]CXF wsdl2java 生成代码存在的一些问题
[解决]CXF wsdl2java 生成代码存在的一些问题参考文章: (1)[解决]CXF wsdl2java 生成代码存在的一些问题 (2)https://www.cnblogs.com/boaz ...
自定义起始时间的时间戳计算（个人代码记录）
个人代码记录,这个时间戳计算,由于项目数据特殊需求,自己设置的时间戳起始时间为2019年1月1日开始, 然后根据时间戳数据计算出现在时间,具体使用如下,这里setFullYear的月份是0到11,所以 ...
今日代码(20210313)--美赛代码记录
代码记录第1及第6题(PageRank+Lasso) my_pagerank <- function(M, r, n, b) {N <- dim(M)[2]r <- r/sum(a ...

解决cumcm17问题的代码记录（待改正）

解决cumcm17问题的代码记录（待改正）相关推荐

最新文章

热门文章