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python+echarts可视化—pyecharts

2020-03-14  本文已影响0人  生信编程日常

pyecharts是一个用于生成Echarts 图表的python库。Echarts(https://echarts.apache.org/examples/zh/index.html
)是一个数据可视化JS库,做出来的图非常好看。pyecharts这个项目可以在python中也生成这种风格的图。具体效果图可以参见该网站https://pyecharts.herokuapp.com/

下面试举几例:

  1. 条形图 barplot

(点上去是可以互动的)

import pandas as pd
import pyecharts
from sklearn.datasets import load_iris

bar = (
    pyecharts.charts.Bar()
    .add_xaxis(["Gene1", "Gene2", "Gene3", "Gene4", "Gene5", "Gene6", "Gene7"])
    .add_yaxis("CTCF", [114, 55, 27, 101, 125, 27, 105])
    .add_yaxis("RAD21", [57, 134, 137, 129, 145, 60, 49])
    .set_colors(['#00A383', '#FF6400'])
    .set_global_opts(title_opts=opts.TitleOpts(title="Correlation"))
    
)

bar.render_notebook()  # 如果不是jupyter notebook的话 bar.render()即可
barplot
  1. heatmap 热力图
import random

from pyecharts import options as opts
from pyecharts.charts import HeatMap
from pyecharts.faker import Faker

value = [[i, j, random.randint(0, 50)] for i in range(24) for j in range(7)]
c = (
    HeatMap()
    .add_xaxis(Faker.clock)
    .add_yaxis(
        "",
        Faker.week,
        value,
        label_opts=opts.LabelOpts(is_show=True, position="inside"),
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title="HeatMap"),
        visualmap_opts=opts.VisualMapOpts(),
    )
    
)

c.render_notebook() 
heatmap
  1. Pie Plot 饼图
from pyecharts import options as opts
from pyecharts.charts import Pie
from pyecharts.faker import Faker

c = (
    Pie()
    .add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
    .set_colors(["blue", "green", "yellow", "red", "pink", "orange", "purple"])
    .set_global_opts(title_opts=opts.TitleOpts(title="Pie"))
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
)

c.render_notebook() 
pie plot
  1. 地图
from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Faker

c = (
    Map()
    .add("", [list(z) for z in zip(Faker.provinces, Faker.values())], "china")
    .set_global_opts(title_opts=opts.TitleOpts(title="Map"))
)

c.render_notebook()
map

此外还有桑葚图、雷达图等图,code示例可以详见https://gallery.pyecharts.org/#/Sankey/sankey_base来学习。

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