flask之pyecharts实时数据更新

我们用falsk来做个小demo
创建app.py 和 templates/index.html and templates/line_on.html

我们先写下前端的
index.html

<!DOCTYPE html>
<html>
<head>
    <meta charset="UTF-8">
    <title>Awesome-pyecharts</title>
    <script src="https://cdn.bootcss.com/jquery/3.0.0/jquery.min.js"></script>
    <script type="text/javascript" src="https://assets.pyecharts.org/assets/echarts.min.js"></script>
</head>
<body>
    <div id="bar" style="width:500px; height:300px;"></div>
    <script>
        var chart = echarts.init(document.getElementById('bar'), 'white', {renderer: 'canvas'});

        $(
            function () {
                fetchData(chart);
                setInterval(fetchData, 2000);


            }
        );
        function fetchData() {
            $.ajax({
                type: "GET",
                url: "http://127.0.0.1:5000/barChart",
                dataType: 'json',
                success: function (result) {
                    chart.setOption(result);
                }
            });
        }


    </script>
</body>
</html>

定时刷新的核心在于 HTML 的 setInterval 方法。

line_on.html

<!DOCTYPE html>
<html>
<head>
    <meta charset="UTF-8">
    <title>Awesome-pyecharts</title>
    <script src="https://cdn.bootcss.com/jquery/3.0.0/jquery.min.js"></script>
    <script type="text/javascript" src="https://assets.pyecharts.org/assets/echarts.min.js"></script>

</head>
<body>
    <div id="bar" style="width:1000px; height:600px;"></div>
    <script>
        var chart = echarts.init(document.getElementById('bar'), 'white', {renderer: 'canvas'});
        var old_data = [];
        $(
            function () {
                fetchData(chart);
                setInterval(getDynamicData, 2000);
            }
        );

        function fetchData() {
            $.ajax({
                type: "GET",
                url: "http://127.0.0.1:5000/lineChart",
                dataType: "json",
                success: function (result) {
                    chart.setOption(result);
                    old_data = chart.getOption().series[0].data;
                }
            });
        }

        function getDynamicData() {
            $.ajax({
                type: "GET",
                url: "http://127.0.0.1:5000/lineDynamicData",
                dataType: "json",
                success: function (result) {
                    old_data.push([result.name, result.value]);
                    chart.setOption({
                        series: [{data: old_data}]
                    });
                }
            });
        }

    </script>
</body>
</html>

然后是我们的python代码

app.py

# -*- coding: utf-8 -*-
# @Time    : 2020-01-14 10:11
# @Author  : lizhiming    flask可视化模板
# @Email   : 616356241@qq.com
# @File    : app.py

from random import randrange

from flask import Flask, render_template
from flask.json import jsonify
from pyecharts import options as opts
from pyecharts.charts import Bar

from pyecharts.charts import Line

app = Flask(__name__, static_folder="templates")


def bar_base() -> Bar:
    c = (
        Bar()
        .add_xaxis(["衬衫", "耐克", "阿迪达斯", "裤子", "高跟鞋", "袜子"])
        .add_yaxis("商家A", [randrange(0, 100) for _ in range(6)])
        .add_yaxis("商家B", [randrange(0, 100) for _ in range(6)])
        .set_global_opts(title_opts=opts.TitleOpts(title="Bar-基本示例", subtitle="我是副标题"))
    )
    return c

def line_base() -> Line:
    line = (
        Line()
        .add_xaxis(["{}".format(i) for i in range(10)])
        .add_yaxis(
            series_name="",
            y_axis=[randrange(50, 80) for _ in range(10)],
            is_smooth=True,
            label_opts=opts.LabelOpts(is_show=False),
        )
        .set_global_opts(
            title_opts=opts.TitleOpts(title="动态数据"),
            xaxis_opts=opts.AxisOpts(type_="value"),
            yaxis_opts=opts.AxisOpts(type_="value"),
        )
    )
    return line

@app.route("/")
def index():
    return render_template("index.html")



@app.route("/barChart")
def get_bar_chart():
    c = bar_base()
    return c.dump_options_with_quotes()

@app.route("/lineChart")
def get_line_chart():
    c = line_base()
    return c.dump_options_with_quotes()

idx = 9

@app.route("/lineDynamicData")
def update_line_data():
    global idx
    idx = idx + 1
    return jsonify({"name": idx, "value": randrange(50, 80)})


@app.route("/index/line")
def line():
    return render_template("line_on.html")


if __name__ == "__main__":
    app.run()

ok测试一下
在这里插入图片描述

在这里插入图片描述

来源：CSDN

作者：INSNNP李志明

链接：https://blog.csdn.net/qq_39146974/article/details/103969729

标签

bar

Flask

pyecharts