Python数据可视化模块pyecharts

安装命令：pip install pyecharts

5分钟上手


from pyecharts.charts import Bar
bar = Bar()
bar.add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
bar.add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
render：默认在当前目录生成render.html文件，也可传入路径参数，如 bar.render("mycharts.html")
bar.render()
pyecharts所有方法均支持链式调用
bar = (
Bar()
.add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
.add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
)

options配置项

在pyecharts中，一切皆Options。


from pyecharts.charts import Bar
from pyecharts import options as opts
bar = (
Bar()
.add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
.add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
.set_global_opts(title_opts={"text": "主标题", "subtext": "副标题"})
)

渲染成图片


from pyecharts.charts import Bar
from pyecharts.render import make_snapshot
使用 snapshot-selenium 渲染图片：pip install snapshot_selenium
from snapshot_selenium import snapshot
bar = (
Bar()
.add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
.add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
)
make_snapshot(snapshot, bar.render(), "bar.png")

使用主题


from pyecharts import options as opts
from pyecharts.globals import ThemeType  # 导入主题包
bar = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
.add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
.add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
.add_yaxis("商家B", [15, 6, 45, 20, 35, 66])
)
bar.render()

pyecharts内置主题：https://pyecharts.org/#/zh-cn/themes

配置项

全局配置项

全局配置项通过set_global_opts方法设置。

初始化配置项


from pyecharts.charts import Bar, Line
from pyecharts import options as opts
from pyecharts.faker import Faker
from pyecharts.globals import ThemeType, RenderType
bar = (
Bar(
init_opts=opts.InitOpts(
width="700px",  # 图表画布大小
height="400px",
page_title="网页标题",
)
)
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.add_yaxis("商家B", Faker.values())
)
bar.render()

标题配置项


bar = (
Bar()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.add_yaxis("商家B", Faker.values())
.set_global_opts(
title_opts=opts.TitleOpts(
title="柱形图",  # 主标题
title_link="http://8.129.6.198/",
title_target="blank",
subtitle="副标题",
)
)
)

区域缩放配置项


bar = (
Bar()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.add_yaxis("商家B", Faker.values())
.set_global_opts(
datazoom_opts=opts.DataZoomOpts(
is_show=True,
type_="slider",  # 组件类型，默认"slider", 可选"inside"
)
)
)

系列配置项

图元样式配置项


line = (
Line()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.add_yaxis("商家B", Faker.values())
.set_series_opts(
itemstyle_opts=opts.ItemStyleOpts(
color="red",
)
)
)

原生JavaScript

pyecharts支持传入原生JS函数。


from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.faker import Faker
from pyecharts.commons.utils import JsCode
color_func = """
function (params) {
if (params.value > 0 && params.value < 50) {
return 'red'
} else if (params.value > 50 && params.value < 100) {
return 'blue'
} else {
return 'green'
}
}
"""
bar = (
Bar()
.add_xaxis(Faker.choose())
.add_yaxis(
"商家A",
Faker.values(),
itemstyle_opts=opts.ItemStyleOpts(
color=JsCode(color_func),
),
)
)
bar.render()