可视化分析存入mongodb腾讯招聘信息

TencentVisualization.py

import pymongo
import matplotlib.pyplot as plt
import pylab

# 让matplotlib显示中文
pylab.mpl.rcParams['font.sans-serif'] = ['SimHei']
# 连接mongodb
client = pymongo.MongoClient(host="localhost", port=27017)
db = client.py3
collection = db.tencent
# 获取信息条数
technology = collection.count({"job_category": "技术类"})
design = collection.count({"job_category": "设计类"})
product = collection.count({"job_category": "产品/项目类"})
market = collection.count({"job_category": "市场类"})
function = collection.count({"job_category": "职能类"})
edit = collection.count({"job_category": "内容编辑类"})
service = collection.count({"job_category": "客户服务类"})
# 数值
values = [technology, design, product, market, function, edit, service]
# 标签
labels = ["技术类", "设计类", "产品/项目类", "市场类", "职能类", "内容编辑类", "客户服务类"]
# 突出部分
explode = [0, 0, 0, 0, 0, 0.2, 0.5]
# 颜色
colors = ["yellow", "blue", "red", "purple", "green", "brown", "black"]
# 标题
plt.title("招聘岗位类型比例", fontsize=25, color="red")
# 标题
plt.pie(values, labels=labels, colors=colors, autopct="%1.2f%%", explode=explode)
plt.axis("equal")
plt.show()