python echarts mysql_Flask+MySQL+Echarts: 实现数据可视化

一、软件及对应版本

Python 3.6.1 |Anaconda custom

Flask 0.12.2

Echarts 4.0

二、项目目录

Project directory.jpg

三、代码展示

server.py

from flask import Flask,render_template, url_for

import pymysql

import pandas as pd

app = Flask(__name__)

app.jinja_env.filters['zip'] = zip

def conn_db():

conn = pymysql.connect(host="your_host", user="your_username", password="your_password", db="your_database", charset="utf8")

return conn

def get_data(conn=conn_db(), n=10):

# Get the top10 products

sql = "select ProductMName, date_format(FeedbackDate, '%Y-%m') Month, count(FeedBack) Count from Feedbacks group by ProductMName, Month order by Count desc, Month asc"

df = pd.read_sql(sql, conn)

conn.close()

product_count = []

for index, value in enumerate(df["ProductMName"].unique()):

product_count.append([value, index+1])

product_count = dict(product_count)

df["Rank"] = df["ProductMName"].map(lambda x: product_count[x])

df = df[df["Rank"]<=n][["ProductM