python pyecharts 库 数据可视化

python pyecharts 库 数据可视化

作者微信公众号：小卫星

 操作系统： Windows 10

IDE： PyCharm Community 2018.1 

 Python 3.7

1、安装

$ pip install pyecharts

或者源码安装：

$ git clone https://github.com/pyecharts/pyecharts.git
$ cd pyecharts
$ pip install -r requirements.txt
$ python setup.py install

安装地图：

$ pip install echarts-countries-pypkg
$ pip install echarts-china-provinces-pypkg
$ pip install echarts-china-cities-pypkg
$ pip install echarts-china-counties-pypkg
$ pip install echarts-china-misc-pypkg
$ pip install echarts-united-kingdom-pypkg

2、测试

import random
from pyecharts import Polar, Page, Style
import math
#from app.charts.constants import WIDTH, HEIGHT

WIDTH = 600
HEIGHT = 400
def create_charts():
    page = Page()

    style = Style(width=WIDTH, height=HEIGHT)

    data = []
    for i in range(361):
        t = i / 180 * math.pi
        r = math.sin(2 * t) * math.cos(2 * t)
        data.append([r, i])
    chart = Polar("极坐标系-画小花", **style.init_style)
    chart.add("Flower", data, start_angle=0, symbol=None, axis_range=[0, None])
    page.add(chart)

    return page

create_charts().render()

运行完之后，在文件目录下会出现一个reader.html文件，用浏览器打开，即可以看到动态散点图：

地图测试：

from pyecharts import GeoLines, Style, Page

style = Style(
    title_top="#fff",
    title_pos = "center",
    width = 600,
    height = 300,
    background_color="#404a59"
)

style_geo = style.add(
    is_label_show=True,
    line_curve=0.2,
    line_opacity=0.6,
    legend_text_color="#eee",
    legend_pos="right",
    geo_effect_symbol="plane",
    geo_effect_symbolsize=15,
    label_color=['#a6c84c', '#ffa022', '#46bee9'],
    label_pos="right",
    label_formatter="{b}",
    label_text_color="#eee",
)

def create_charts():
    page = Page()

    data_guangzhou = [
        ["广州", "上海"],        ["广州", "北京"],        ["广州", "南京"],        ["广州", "重庆"],        ["广州", "兰州"],        ["广州", "杭州"]
    ]
    data_beijing = [
        ["北京", "上海"],        ["北京", "广州"],        ["北京", "南京"],        ["北京", "重庆"],        ["北京", "兰州"],        ["北京", "杭州"]
    ]

    charts = GeoLines("GeoLines-默认示例", **style.init_style)
    charts.add("从广州出发", data_guangzhou, is_legend_show=False)
    page.add(charts)

    charts = GeoLines("GeoLines-稍加配置", **style.init_style)
    charts.add("从广州出发", data_guangzhou, **style_geo)
    page.add(charts)

    charts = GeoLines("GeoLines-多例模式", **style.init_style)
    charts.add("从广州出发", data_guangzhou, **style_geo)
    charts.add("从北京出发", data_beijing, **style_geo)
    page.add(charts)

    charts = GeoLines("GeoLines-单例模式", **style.init_style)
    charts.add("从广州出发", data_guangzhou, **style_geo)
    charts.add("从北京出发", data_beijing,
               legend_selectedmode="single", **style_geo)
    page.add(charts)

    return page

create_charts().render()

直接复制图片，它只有流图没有地图，显然它是一个多层结构。

3、参考资料

http://pyecharts.org/#/zh-cn/

http://pyecharts.herokuapp.com/geo