streamlit-raw-echarts 0.1.4

Echarts component for streamlit supporting raw Echarts api.

raw ECharts component for streamlit

A Streamlit component for the ECharts library.

Features

It has following advantages comparing to Streamlit-echarts:

• It is written in pure html/js without react/vue/webpack, no need to install nodejs when developping. It can also be used as template to write other html/js based component for traditional frontend-developpers.
• It supports raw ECharts api, i.e, useing "new echarts.graphic.LinearGradient(...)" as color in chart option.
• Benifit from ECharts design scheme, chart can be dynamiclly updated without remounted by specifying a key.
• It can returns the chart.getDataURL() as component value, so can easily save or download chart as picutre by code.
• It integrates basic ECharts libraries and map resources from pyecharts-assets, so can be used in off-line environments.

Short conclusion: with this component, streamlit user can display any ECharts by setting params on the python side, no development on the frontend is necessary anymore.

Install

1. pip install streamlit-raw-echarts
2. basic charts and 3D charts already be available with a fresh installation. If additional geo map needed, user can:
   • download pyecharts-assets zipball, then copy pyecharts-assets/assets/maps folder to {streamlit_raw_echarts installation folder}/frontend/. This repo contains maps of lots countries.
   • pass custome geo json data to component your self.

Usage examples

import streamlit as st
from streamlit_raw_echarts import st_echarts,JsCode,CustomMap
import random


with st.echo('below'):
    option={
        'backgroundColor':'#fff',
        'title':{
            'text':'example chart',
            'subtext':'using pyecharts-assets',
        },
        'tooltip':{
            'trigger':'item',
        },
        'visualMap':{
            'seriesIndex':1,
        },
        'grid':{'bottom':'55%'},
        'xAxis':{
            'data':[1,2,3,4,5],
        },
        'yAxis':{},
        'series':[
            {
                'type':'bar',
                'name':'KPI',
                'data':[1,2,3,4,5],
                'label':{
                    'show':True,
                    'position':'top',
                },
                'visualMap':False,
                'color':JsCode('new echarts.graphic.LinearGradient(0,0,0,1,[{"offset":0,"color":"red"},{"offset":1,"color":"yellow"}])')             
            },
            {
                'name':'users',
                'type':'map',
                'mapType':'world',
                'top':'55%',
                'label':{'show':False},
                'roam':True,
                'data':[
                    {
                        'name':'China',
                        'value':150,
                        'label':{
                            'show':True,
                            'formatter':JsCode('function(p){return p.data.name+":"+p.value;}')
                            }
                    },
                    {
                        'name':'United States',
                        'value':200,
                        'label':{
                            'show':True,
                            'formatter':JsCode('function(p){return p.data.name+":"+p.value;}')
                            }
                    },
                    {'name':'Brazil','value':100},
                ]
            }
        ]
    }

    st.title('example:')

    for i in range(3):
        option['series'][1]['data'][i]['value']=random.randint(1,200)
    for i in range(5):
        option['series'][0]['data'][i]=random.randint(1,10)

    chart=st_echarts(option=option,
                    theme='shine',
                    height=600,
                    events={
                        'click':'function(param){alert("your click:"+param.data.name);}'
                        },
                    returnData={},
                    key='echarts1',
                    )
    st.button('refresh',help='update chart dynamiclly')
    if chart:
        st.write('the component returns as :')
        st.write(chart[:25]+' ... '+chart[-25:])
        st.markdown('<a href="{}" download="{}">download chart as picture</a>'.format(chart,'echarts1.png'),unsafe_allow_html=True)

API

The APIs are similar with Streamlit-echarts.

Additional parameters:

• notMerge/lazyUpdate: passed to chart.setOption, whether merge the option or not.
• returnData: dict with values same to chart.getDataURL(), will set chart's image data as component value. Be careful this will slows down your app.

Further development

User can add any params to frontend/index.html.updateChart, then pass params through st_echarts.

Credit

Thanks to andfanilo, I take some ideas from his Streamlit-echarts.

Thanks to pyecharts team, they provide lots of assets especially usefull for Chinese users.