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98 lines
3.7 KiB
98 lines
3.7 KiB
import pandas as pd
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import re
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import pyecharts.options as opts
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from pyecharts.charts import Line, Bar
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# 岗位信息数据预处理
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with open('data/岗位信息.txt','rb') as file:
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job_list = []
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while True:
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line = file.readline()
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if not line:
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break
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line = eval(line.decode('utf-8'))
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try:
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line['位置'] = re.split('-',line['位置'])[1]
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danwei = re.findall('[\u4e00-\u9fa5]+',line['薪资'])
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xinzi = re.findall('\d+.*\d',line['薪资'])[0].split('-')
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if not xinzi[1]:
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xinzi[1] = xinzi[0]
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if danwei[0][0] == '万' and danwei[1] == '月':
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line['薪资'] = round((float(xinzi[0])+float(xinzi[1]))/2,2)
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elif danwei[0][0] == '万' and danwei[1] == '年':
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line['薪资'] = round((float(xinzi[0]) + float(xinzi[1])) / 2 /12, 2)
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elif danwei[0] == '千' and danwei[1] == '月':
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line['薪资'] = round((float(xinzi[0]) + float(xinzi[1])) / 2 / 10, 2)
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elif danwei[0] == '元' and danwei[1:] == '小时':
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line['薪资'] = round((float(xinzi[0]) + float(xinzi[1]))*8*22 / 2 / 100, 2)
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except:
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continue
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job_list.append(line)
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job_list_DF = pd.DataFrame(job_list)
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# 房源信息预处理
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with open('data/房源信息.txt','rb') as file:
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house_list = []
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while True:
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line = file.readline()
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if not line:
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break
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line = eval(line.decode('utf-8'))
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line['面积'] = int(re.findall('\d+',line['面积'])[0])
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line['价格'] = int(re.findall('\d+',line['价格'])[0])
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house_list.append(line)
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house_list_DF = pd.DataFrame(house_list)
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xingzhengqu = [item for item in set(house_list_DF.get(key='行政区')) if item]
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# 获取每个区 单日每平方米的价格
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def houserGetAvgPrice(xingzhengqu):
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totalPrice = 0
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totalArea = 0
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for item in house_list:
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if item['行政区'] == xingzhengqu:
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totalArea = totalArea + item['面积']
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totalPrice = totalPrice + item['价格']
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return totalPrice / totalArea if totalArea >0 else 1
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# 房租每日单价
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house_totalAvgPriceList = []
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for index,item in enumerate(xingzhengqu):
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avg_price = houserGetAvgPrice(item)
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house_totalAvgPriceList.append(round(avg_price/30,2))
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attr, house_value = (xingzhengqu,house_totalAvgPriceList)
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# 获取每个区 单日薪资
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def jobGetAvgPrice(xingzhengqu):
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totalPrice = 0
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total = 0
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for item in job_list:
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if item['位置'] == xingzhengqu:
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total = total + 1
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totalPrice = totalPrice + item['薪资']
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return totalPrice / total if total >0 else 0
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# 获取每个区 单时薪资
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job_totalAvgPriceList = []
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for index,item in enumerate(xingzhengqu):
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avg_price = jobGetAvgPrice(item+'区')
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job_totalAvgPriceList.append(round(avg_price*10000/30/24,2))
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attr, job_value = (xingzhengqu,job_totalAvgPriceList)
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# 广州房租-薪资图
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line =Line(init_opts=opts.InitOpts(width='800px',height='800px'))
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line.add_xaxis(xaxis_data=attr)
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line.add_yaxis('房租：元/日(1平方米)', house_value)
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line.add_yaxis("薪资:元/日", job_value)
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line.render('images/both/广州房租-薪资.html')
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difference = []
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for i in range(len(job_value)):
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difference.append(round(job_value[i]-house_value[i],2))
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# 广州房租-薪资差距图
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bar = Bar(init_opts=opts.InitOpts(width='1200px',height='1400px'))
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bar.add_xaxis(attr)
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bar.add_yaxis("广州房租-薪资差距图：元",difference)
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bar.set_global_opts(title_opts=opts.TitleOpts(title='广州房租-薪资差距图：元'),xaxis_opts=opts.AxisOpts(axislabel_opts={"rotate":"270"}))
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bar.render('images/both/广州房租-薪资差距.html')
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