前言
最近学到python可视化工具,推荐使用vizro框架.(听说vizro是麦肯锡公司出的,所以抱着好奇心测试一下)
一, 如何绘制箱子图和折线图
from vizro import Vizro
import vizro.models as vm
import vizro.plotly.express as px
df = px.data.gapminder()
gapminder_data = (
df.groupby(by=["continent", "year"]).
agg({"lifeExp": "mean", "pop": "sum", "gdpPercap": "mean"}).reset_index()
)
first_page = vm.Page(
title="First Page",
layout=vm.Layout(grid=[[0,0],[1,2],[1,2],[1,2]]),
components=[
vm.Card(
text="""
# 标题
内容......
""",
),
vm.Graph(
id="box",
figure=px.box(gapminder_data, x="continent", y="lifeExp", color="continent",
labels={"lifeExp": "Life Expectancy", "continent":"Continent"},title='箱子图'),
),
vm.Graph(
id="line",
figure=px.line(gapminder_data, x="year", y="pop", color="continent",
labels={"year": "Year", "continent": "Continent",
"pop":"GDP Per Capxxx"}, title='折线图'),
),
],
controls=[vm.Filter(column="continent", targets=["box", "line"]),],
)
dashboard = vm.Dashboard(pages=[first_page])
Vizro().build(dashboard).run(debug=True)
二, 如何绘制点状图图和柱状图图
vm.Graph(
id="scatter_iris",
figure=px.scatter(iris_data, x="sepal_width", y="sepal_length", color="species",
color_discrete_map={"setosa": "#00b4ff", "versicolor": "#ff9222"},
labels={"sepal_width": "Sepal Width", "sepal_length": "Sepal Length",
"species": "Species"},title='点状图',
),
),
vm.Graph(
id="hist_iris",
figure=px.histogram(iris_data, x="sepal_width", color="species",
color_discrete_map={"setosa": "#00b4ff", "versicolor": "#ff9222"},
labels={"sepal_width": "Sepal Width", "count": "Count",
"species": "Species"},title='柱状图',
),
),
三, 如何加载原始数据和绘制气泡图
df_gapminder = px.data.gapminder().query("year == 2007")
fourth_page = vm.Page(
title="Filter interaction",
components=[
vm.AgGrid(
figure=dash_ag_grid(data_frame=df_gapminder),
actions=[
vm.Action(function=filter_interaction(targets=["scatter_relation_2007"]))
],
),
vm.Graph(
id="scatter_relation_2007",
figure=px.scatter(
df_gapminder,
x="gdpPercap",
y="lifeExp",
size="pop",
color="continent",
),
),
],
controls=[vm.Filter(column='continent')]
)
四, 组件:
controls=[
vm.Parameter(
targets=["scatter_iris.color_discrete_map.virginica",
"hist_iris.color_discrete_map.virginica"],
selector=vm.Dropdown(
options=["#ff5267", "#3949ab"], multi=False, value="#3949ab", title="颜色切换"),
),
vm.Parameter(
targets=["scatter_iris.opacity"],
selector=vm.Slider(min=0, max=1, value=0.8, title="透明度"),
),
],
Github项目链接:
https://github.com/LuochuanAD/PythonProject/blob/main/vizroProject/vizroTest.py
个人反思:
看了vizro官网的文档, 理解了麦肯锡的可视化图表,真的干货,就是有点太干了. 多个图表的连动,加载等等都是通过id这个核心属性来绑定的. 就是代码有太多的”,”号,这与python语法不太搭配.
