前提：
![flask+sqlite3+echarts2+ajax数据可视化]()
![flask+sqlite3+echarts2+ajax数据可视化]()
![flask+sqlite3+echarts2+ajax数据可视化]()
![flask+sqlite3+echarts2+ajax数据可视化]()
记得下载：echarts，echarts包含：
![flask+sqlite3+echarts2+ajax数据可视化]()
# create_db.py # 只运行一次！！！ import sqlite3 # 连接 conn = sqlite3.connect('mydb.db') c = conn.cursor() # 创建表 c.execute('''DROP TABLE IF EXISTS weather''') c.execute('''CREATE TABLE weather (month text, evaporation text, precipitation text)''') # 数据 # 格式：月份,蒸发量,降水量 purchases = [(1, 2, 2.6), (2, 4.9, 5.9), (3, 7, 9), (4, 23.2, 26.4), (5, 25.6, 28.7), (6, 76.7, 70.7), (7, 135.6, 175.6), (8, 162.2, 182.2), (9, 32.6, 48.7), (10, 20, 18.8), (11, 6.4, 6), (12, 3.3, 2.3) ] # 插入数据 c.executemany('INSERT INTO weather VALUES (?,?,?)', purchases) # 提交！！！ conn.commit() # 查询方式一 for row in c.execute('SELECT * FROM weather'): print(row) # 查询方式二 c.execute('SELECT * FROM weather') print(c.fetchall()) # 查询方式二_2 res = c.execute('SELECT * FROM weather') print(res.fetchall()) # 关闭 conn.close()
![flask+sqlite3+echarts2+ajax数据可视化]()
![flask+sqlite3+echarts2+ajax数据可视化]()
// index.html <!DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8"> <title>ECharts Ajax</title> <script src="{{ url_for('static', filename='jquery-1.6.2.js') }}"></script> </head> <body> <!--Step:1 为ECharts准备一个具备大小（宽高）的Dom--> <div id="main" style="height:500px;border:1px solid #ccc;padding:10px;"></div> <!--Step:2 引入echarts.js--> <!--<script src="js/echarts.js"></script>--> <script src="{{ url_for('static', filename='echarts.js') }}"></script> <script type="text/javascript"> // Step:3 为模块加载器配置echarts的路径，从当前页面链接到echarts.js，定义所需图表路径 require.config({ paths: { echarts: './static', } }); // Step:4 动态加载echarts然后在回调函数中开始使用，注意保持按需加载结构定义图表路径 require( [ 'echarts', 'echarts/chart/bar', // 按需加载 'echarts/chart/line', ], function (ec) { //--- 折柱 --- var myChart = ec.init(document.getElementById('main')); // 设置--------------------- var option = { tooltip : { trigger: 'axis' }, legend: { data:['蒸发量','降水量'] }, toolbox: { show : true, feature : { mark : {show: true}, dataView : {show: true, readOnly: false}, magicType : {show: true, type: ['line', 'bar']}, restore : {show: true}, saveAsImage : {show: true} } }, calculable : true, xAxis : [ { type : 'category', data : [] } ], yAxis : [ { type : 'value', splitArea : {show : true} } ], series : [ { name:'蒸发量', type:'bar', data:[] }, { name:'降水量', type:'line', data:[] } ] }; $.ajax({ cache: false, type: "POST", url: "/weather", //把表单数据发送到/weather data: null, // 发送的数据 dataType : "json", //返回数据形式为json async: false, error: function(request) { alert("发送请求失败！"); }, success: function(result) { //console.log(result); for (i = 0, max = result.month.length; i < max; i++) { //注意：result.month.length option.xAxis[0].data.push(result.month[i]); option.series[0].data.push(parseFloat(result.evaporation[i])); option.series[1].data.push(parseFloat(result.precipitation[i])); }; // 为echarts对象加载数据-------------- myChart.setOption(option); } }); // 为echarts对象加载数据-------------- //myChart.setOption(option); } ); </script> </body> </html> # app.py import sqlite3 from flask import Flask, request, render_template, jsonify app = Flask(__name__) def get_db(): db = sqlite3.connect('mydb.db') db.row_factory = sqlite3.Row return db def query_db(query, args=(), one=False): db = get_db() cur = db.execute(query, args) db.commit() rv = cur.fetchall() db.close() return (rv[0] if rv else None) if one else rv @app.route("/", methods=["GET"]) def index(): return render_template("index.html") @app.route("/weather", methods=["POST"]) def weather(): if request.method == "POST": res = query_db("SELECT * FROM weather") return jsonify(month = [x[0] for x in res], evaporation = [x[1] for x in res], precipitation = [x[2] for x in res]) if __name__ == "__main__": app.run(debug=True)
![flask+sqlite3+echarts2+ajax数据可视化]()
![flask+sqlite3+echarts2+ajax数据可视化]()
![flask+sqlite3+echarts2+ajax数据可视化]()
![flask+sqlite3+echarts2+ajax数据可视化]()
![flask+sqlite3+echarts2+ajax数据可视化]()
准备 python+Flask+Sqlite3 的平台环境 (windows 系统）
前面一节介绍flask怎么安装了，剩下sqlite3下载后解压，然后环境变量添加解压路径就行了
附加下载地址： http://www.sqlite.org/2016/sqlite-tools-win32-x86-3150200.zip
项目的目录结构/www
|
|--/static
||jquery-1.6.2.js （可以是其他jquery-xx.js，在index.html里修改就行了）
||--echarts.js （还有 echarts 原 dist 目录下的文件 ( 夹 ) ）
|
|--/templates
||
||--index.html
|
|--app.py
|
|--create_db.py
记得下载：echarts，echarts包含：
# create_db.py # 只运行一次！！！ import sqlite3 # 连接 conn = sqlite3.connect('mydb.db') c = conn.cursor() # 创建表 c.execute('''DROP TABLE IF EXISTS weather''') c.execute('''CREATE TABLE weather (month text, evaporation text, precipitation text)''') # 数据 # 格式：月份,蒸发量,降水量 purchases = [(1, 2, 2.6), (2, 4.9, 5.9), (3, 7, 9), (4, 23.2, 26.4), (5, 25.6, 28.7), (6, 76.7, 70.7), (7, 135.6, 175.6), (8, 162.2, 182.2), (9, 32.6, 48.7), (10, 20, 18.8), (11, 6.4, 6), (12, 3.3, 2.3) ] # 插入数据 c.executemany('INSERT INTO weather VALUES (?,?,?)', purchases) # 提交！！！ conn.commit() # 查询方式一 for row in c.execute('SELECT * FROM weather'): print(row) # 查询方式二 c.execute('SELECT * FROM weather') print(c.fetchall()) # 查询方式二_2 res = c.execute('SELECT * FROM weather') print(res.fetchall()) # 关闭 conn.close()
建立数据库结果：
// index.html <!DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8"> <title>ECharts Ajax</title> <script src="{{ url_for('static', filename='jquery-1.6.2.js') }}"></script> </head> <body> <!--Step:1 为ECharts准备一个具备大小（宽高）的Dom--> <div id="main" style="height:500px;border:1px solid #ccc;padding:10px;"></div> <!--Step:2 引入echarts.js--> <!--<script src="js/echarts.js"></script>--> <script src="{{ url_for('static', filename='echarts.js') }}"></script> <script type="text/javascript"> // Step:3 为模块加载器配置echarts的路径，从当前页面链接到echarts.js，定义所需图表路径 require.config({ paths: { echarts: './static', } }); // Step:4 动态加载echarts然后在回调函数中开始使用，注意保持按需加载结构定义图表路径 require( [ 'echarts', 'echarts/chart/bar', // 按需加载 'echarts/chart/line', ], function (ec) { //--- 折柱 --- var myChart = ec.init(document.getElementById('main')); // 设置--------------------- var option = { tooltip : { trigger: 'axis' }, legend: { data:['蒸发量','降水量'] }, toolbox: { show : true, feature : { mark : {show: true}, dataView : {show: true, readOnly: false}, magicType : {show: true, type: ['line', 'bar']}, restore : {show: true}, saveAsImage : {show: true} } }, calculable : true, xAxis : [ { type : 'category', data : [] } ], yAxis : [ { type : 'value', splitArea : {show : true} } ], series : [ { name:'蒸发量', type:'bar', data:[] }, { name:'降水量', type:'line', data:[] } ] }; $.ajax({ cache: false, type: "POST", url: "/weather", //把表单数据发送到/weather data: null, // 发送的数据 dataType : "json", //返回数据形式为json async: false, error: function(request) { alert("发送请求失败！"); }, success: function(result) { //console.log(result); for (i = 0, max = result.month.length; i < max; i++) { //注意：result.month.length option.xAxis[0].data.push(result.month[i]); option.series[0].data.push(parseFloat(result.evaporation[i])); option.series[1].data.push(parseFloat(result.precipitation[i])); }; // 为echarts对象加载数据-------------- myChart.setOption(option); } }); // 为echarts对象加载数据-------------- //myChart.setOption(option); } ); </script> </body> </html> # app.py import sqlite3 from flask import Flask, request, render_template, jsonify app = Flask(__name__) def get_db(): db = sqlite3.connect('mydb.db') db.row_factory = sqlite3.Row return db def query_db(query, args=(), one=False): db = get_db() cur = db.execute(query, args) db.commit() rv = cur.fetchall() db.close() return (rv[0] if rv else None) if one else rv @app.route("/", methods=["GET"]) def index(): return render_template("index.html") @app.route("/weather", methods=["POST"]) def weather(): if request.method == "POST": res = query_db("SELECT * FROM weather") return jsonify(month = [x[0] for x in res], evaporation = [x[1] for x in res], precipitation = [x[2] for x in res]) if __name__ == "__main__": app.run(debug=True)
运行后：
打开：http://127.0.0.1:5000/
