疫情可视化大屏的实现
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主要是对热搜榜的词进行爬取。
# -*- coding:utf-8 -*-
import time
import pymysql
import string
from jieba.analyse import extract_tags
def get_time():
time_str = time.strftime("%Y{}%m{}%d{} %X")
return time_str.format("年","月","日")
# 连接数据库
def get_conn():
conn = pymysql.connect(
host="localhost",
user="root",
password="12345678",
db="yiqing",
charset="utf8",
port=3306,
)
# 创建游标:
cursor = conn.cursor()
return conn, cursor
def close_conn(conn, cursor):
if cursor:
cursor.close()
if conn:
conn.close()
def query(sql, *args):
'''
:param sql:
:param args:
:return:返回结果,((),())形式
'''
conn, cursor= get_conn()
cursor.execute(sql, args)
res = cursor.fetchall() # 获取结果
close_conn(conn, cursor)
return res
def get_c1_data():
sql = "select sum(confirm)," \
"(select suspect from history order by ds desc limit 1)," \
"sum(heal)," \
"sum(dead) " \
"from details " \
"where update_time=(select update_time from details order by update_time desc limit 1) "
res = query(sql)
return res[0]
def get_c2_data():
sql = "select province,sum(confirm) from details " \
"where update_time=(select update_time from details " \
"order by update_time desc limit 1) " \
"group by province"
res = query(sql)
return res
def get_l1_data():
sql = "select ds,confirm,suspect,heal,dead from history"
res = query(sql)
return res
def get_l2_data():
sql = "select ds,confirm_add,suspect_add,heal_add,dead_add from history"
res = query(sql)
return res
def get_r1_data():
# union_all 两块相加
sql = 'SELECT city,confirm FROM ' \
'(select city,confirm from details ' \
'where update_time=(select update_time from details order by update_time desc limit 1) ' \
'and province not in ("湖北","北京","上海","天津","重庆") ' \
'union all ' \
'select province as city,sum(confirm) as confirm from details ' \
'where update_time=(select update_time from details order by update_time desc limit 1) ' \
'and province in ("北京","上海","天津","重庆") group by province) as a ' \
'ORDER BY confirm DESC limit 5'
res = query(sql)
return res
def get_r2_data():
sql = "select content from jinri_hot order by id desc limit 20"
res = query(sql)
return res
from flask import jsonify
if __name__ == '__main__':
# get_l1_data()
# get_r1_data()
print(get_r2_data())
pass
爬取的数据结果如下:

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