肺炎

新型肺炎最新可视化

数据源 DataSource

腾讯新闻： https://news.qq.com/zt2020/page/feiyan.htm

开发者工具

json 数据

https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5

https://www.json.cn

vscode 替换 "

转换 model

https://quicktype.io

保存 nCoV2019.py

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#-*- coding: utf-8 -*-

# This code parses date/times, so please
#
#     pip install python-dateutil
#
# To use this code, make sure you
#
#     import json
#
# and then, to convert JSON from a string, do
#
#     result = n_co_v2019_from_dict(json.loads(json_string))

from datetime import datetime
import dateutil.parser


def from_int(x):
    assert isinstance(x, int) and not isinstance(x, bool)
    return x

...

def n_co_v2019_from_dict(s):
    return NCoV2019.from_dict(s)


def n_co_v2019_to_dict(x):
    return to_class(NCoV2019, x)

虚拟环境

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$ python3 -m venv 2019
$ source 2019/bin/activate
(2019) $ pip3 install pyecharts
(2019) $ pip3 install flask

新建一个 Flask 项目

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mkdir nCoV2019
cd nCoV2019

Flask 模板渲染

Step 1: 拷贝 pyecharts 模板

将 pyecharts 模板，位于 pyecharts.render.templates 拷贝当前目录

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cp -r ../2019/lib/python3.7/site-packages/pyecharts/render/templates .
# list
tree templates
templates
├── components.html
├── macro
├── nb_components.html
├── nb_jupyter_globe.html
├── nb_jupyter_lab.html
├── nb_jupyter_lab_tab.html
├── nb_jupyter_notebook.html
├── nb_jupyter_notebook_tab.html
├── nb_nteract.html
├── simple_chart.html
├── simple_globe.html
├── simple_page.html
└── simple_tab.html

0 directories, 13 files

Step 2: 渲染图表

请将下面的代码保存为 app.py 文件并移至项目的根目录下。

目录结构如下

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tree -L 1
.
├── app.py
├── nCoV2019.py
└── templates

1 directory, 2 files

测试代码

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-

from pyecharts.charts import Bar
from pyecharts import options as opts
from flask import Flask
from jinja2 import Markup, Environment, FileSystemLoader
from pyecharts.globals import CurrentConfig

# 关于 CurrentConfig，可参考 [基本使用-全局变量]
CurrentConfig.GLOBAL_ENV = Environment(loader=FileSystemLoader("./templates"))

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

...

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

Step 3: 运行项目

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chmod +x app.py
./app.py

使用浏览器打开 http://127.0.0.1:5000 即可访问服务

Step 3: 编写代码

剩下就是编码阶段了，全部代码可以去 GitHub 查看

https://github.com/Game2020/nCoV2019