pyecharts模块 【图形模块/数据可视化】(3)

快速开始

 

#coding=utf-8
from __future__ import unicode_literals
from pyecharts import Bar

bar = Bar("主题","副标题")

bar.add("服装",["衬衫","羊毛衫","雪融衣"],[5,20,30],is_more_utils=True)#主要方法,用于添加图表的数据和设置各种配置项

bar.use_theme('dark')  #更换主题色彩      

#bar.print_echarts_options()  #该行只为了打印配置项,方便调试使用

bar.render()  #生成本地HTML文件

 

#柱状堆叠图
from pyecharts import Bar

CLOTHES = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
clothes_v1 = [5, 20, 36, 10, 75, 90]
clothes_v2 = [10, 25, 8, 60, 20, 80]

(Bar("柱状图数据堆叠示例")
    .add("商家A", CLOTHES, clothes_v1, is_stack=True)
    .add("商家B", CLOTHES, clothes_v2, is_stack=True)
    .render())

 

from pyecharts import Bar, Line
from pyecharts.engine import create_default_environment
#主题
bar = Bar("我的第一个图表", "这里是副标题")
#数据
bar.add("服装", ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"], [5, 20, 36, 10, 75, 90])
#主题
line = Line("我的第一个图表", "这里是副标题")
line.add("服装", ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"], [5, 20, 36, 10, 75, 90])

env = create_default_environment("html")
# 为渲染创建一个默认配置环境
# create_default_environment(filet_ype)
# file_type: 'html', 'svg', 'png', 'jpeg', 'gif' or 'pdf'

env.render_chart_to_file(bar, path='bar.html')
env.render_chart_to_file(line, path='line.html')

 

Pandas&Numpy 简单示例

import pandas as pd
import numpy as np
from pyecharts import Bar

title = "bar chart"
index = pd.date_range("3/8/2017",periods=6,freq='M')
df1 = pd.DataFrame(np.random.randn(6),index=index)
df2 = pd.DataFrame(np.random.randn(6),index=index)

dtvalue1 = [i[0] for i in df1.values]
dtvalue2 = [i[0] for i in df2.values]
_index = [i for i in df1.index.format()]

bar = Bar(title,"Profit and loss situation")
bar.add("profit",_index,dtvalue1)
bar.add("loss",_index,dtvalue2)
bar