pyecharts介绍

Pyecharts是一个用于生成Echarts图表的类库，可以与Python进行对接，方便在Python中直接使用数据生成图。

Echarts是百度开源的一个数据可视化JS库，生成的图可视化效果非常棒，凭借着良好的交互性，精巧的图表设计，得到了众多开发者的认可。

Pyecharts v1停止对Python 2.7及Python 3.4~3.5版本的支持和维护，仅支持Python 3.6+。

环境

Ubuntu 18.04 LTS
python 3.8.10
pyecharts-1.9.1

安装环境

pip install pyecharts

条形图

源码：

# -*- coding: utf-8 -*-
from pyecharts import options as opts
from pyecharts.charts import Bar, Page
#from impala.dbapi import connect

bar=Bar()
bar.add_xaxis(["数学", "语文", "英语", "政治", "历史", "地理", "物理", "化学", "生物"])
bar.add_yaxis("班级A", [134, 125, 127, 89, 95, 87, 85, 88, 89])
bar.add_yaxis("班级B", [131, 128, 129, 87, 92, 88, 86, 85, 92])
bar.set_global_opts(title_opts=opts.TitleOpts(title="学生考试成绩比较分析", subtitle="2019年班级A和班级B期末考试"),
)

#第一次渲染时调用load_javasrcript文件
bar.load_javascript()

#展示数据可视化图表
#bar.render_notebook()
bar.render('test.html')

生成网页：test.html
打开后的效果图：

折线图

源码：

from pyecharts import options as opts
from pyecharts.charts import Line, Page
#from impala.dbapi import connect

bar=Line()
bar.add_xaxis(["数学", "语文", "英语", "政治", "历史", "地理", "物理", "化学", "生物"])
bar.add_yaxis("班级A", [134, 125, 127, 89, 95, 87, 85, 88, 89])
bar.add_yaxis("班级B", [131, 128, 129, 87, 92, 88, 86, 85, 92])
bar.set_global_opts(title_opts=opts.TitleOpts(title="学生考试成绩比较分析", subtitle="2019年班级A和班级B期末考试"),
)

#第一次渲染时调用load_javasrcript文件
bar.load_javascript()

#展示数据可视化图表
#bar.render_notebook()
bar.render('test.html')

生成网页：test.html
打开后的效果图：

在这里插入图片描述

多选项卡折线图

源码
功能：多选项卡展示不同海拔的time, internal, external 的图

import sys
from pyecharts import options as opts
from pyecharts.charts import Bar, Grid, Line, Pie, Tab
from pyecharts.faker import Faker


def run():

    altitudes = [100, 500, 1000, 2000]
    src_data = [{
    
    "altitude": 100, "ratio": [{
    
    "time": "2022-09-12 13:00", "internal": 0.512472225077207, "external": 0.09672359339631853}, {
    
    "time": "2022-09-12 12:00", "internal": 0.5263980679437406, "external": 0.10863849466864367}, {
    
    "time": "2022-09-12 11:00", "internal": 0.4262462549509512, "external": 0.14155159508726867}]}, {
    
    "altitude": 500, "ratio": [{
    
    "time": "2022-09-12 13:00", "internal": 0.04424255811772758, "external": 0.04457796000559457}, {
    
    "time": "2022-09-12 12:00", "internal": 0.07333118538032697, "external": 0.04766812003142175}, {
    
    "time": "2022-09-12 11:00", "internal": 0.09426504482416587, "external": 0.1574164637423162}]}, {
    
    "altitude": 1000, "ratio": [{
    
    "time": "2022-09-12 13:00", "internal": 0.06287260843470314, "external": 0.037199118472520776}, {
    
    "time": "2022-09-12 12:00", "internal": 0.07333118538032697, "external": 0.047357578532845716}, {
    
    "time": "2022-09-12 11:00", "internal": 0.023566261206041467, "external": 0.047286550263102814}]}, {
    
    "altitude": 2000, "ratio": [{
    
    "time": "2022-09-12 13:00", "internal": 0.16459085370054685, "external": 0.0373210827953815}, {
    
    "time": "2022-09-12 12:00", "internal": 0.09841943823957555, "external": 0.024855929823118964}, {
    
    "time": "2022-09-12 11:00", "internal": 0.07855420402013823, "external": 0.031113625906015532}]}]
    
    
    # 多选项卡展示不同海拔的图
    tab = Tab()
    i = 0
    while i < len(altitudes):
        if i == 0:
            tab_name = '0-%dm' %(altitudes[i])
        else:
            tab_name = '%d-%dm' %(altitudes[i-1], altitudes[i])
            
        # 数据格式转换
        for item in src_data:
            if item["altitude"] == altitudes[i]:
                data = item["ratio"]
                break
        tdata = []
        idata = []
        edata = []
        for item in data:
            tdata.append(item['time'])
            idata.append(item['internal'])
            edata.append(item['external'])
        data = {
    
    'time': tdata, 'internal': idata, 'external': edata}
        
        tab.add(line_markpoint(data, tab_name), tab_name)
        
        i += 1
        
    save_path = "test.html"
    tab.render(save_path)
    #tab.render_notebook()
    
    
    print('save_path', save_path)
    return save_path
    
    
def line_markpoint(data, tab_name) -> Line:
    # data = {'time': [2021,2022,2023], 'internal': [0.1,0.2,0.3], 'external': [0.12,0.32,0.12]}
    
    
    total = [data['internal'][i] + data['external'][i] for i in range(len(data['internal']))]
    c = (
        Line()
        .add_xaxis(data['time'])
        .add_yaxis(
            "all",
            total, is_smooth=True)
        .add_yaxis(
            "internal",
            data['internal'], is_smooth=True)
        .add_yaxis(
            "external",
            data['external'], is_smooth=True)
        .set_global_opts(title_opts=opts.TitleOpts(title=tab_name), \
            tooltip_opts=opts.TooltipOpts(trigger="axis"))
    )
    return c


if __name__ == '__main__':
    run()