PyCafe - Vizro - Data Exploration and Visualization Platform

assets/
app.py
requirements.txt
app.py
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import vizro.models as vm
import vizro.plotly.express as px
from vizro import Vizro
from vizro.tables import dash_ag_grid
from vizro.actions import export_data
import pandas as pd

tips = px.data.tips()
gapminder_2007 = px.data.gapminder().query("year == 2007")
stocks = px.data.stocks()

data = vm.Page(
    title="Explore Data",
    layout=vm.Grid(grid=[[0], [0], [0], [1]]),
    components=[
        vm.AgGrid(
            figure=dash_ag_grid(data_frame=gapminder_2007, dashGridOptions={"pagination": True}),
            title="Gapminder Data Insights",
            header="""#### An Interactive Exploration of Global Health, Wealth, and Population""",
        ),
        vm.Button(
            text="Export data",
            actions=[vm.Action(function=export_data())],
        ),
    ],
)

graphs = vm.Page(
    title="Visualize Data",
    layout=vm.Grid(grid=[[0, 1, 2], [3, 4, 5], [6, 7, 8]]),
    components=[
        vm.Graph(
            figure=px.scatter(
                gapminder_2007,
                x="gdpPercap",
                y="lifeExp",
                size="pop",
                size_max=60,
                color="continent",
            )
        ),
        vm.Graph(figure=px.box(tips, y="total_bill", x="day", color="day")),
        vm.Graph(figure=px.histogram(tips, x="total_bill")),
        vm.Graph(
            figure=px.bar(
                gapminder_2007.query("country.isin(['United States', 'Pakistan', 'India', 'China', 'Indonesia'])"),
                x="pop",
                y="country",
                orientation="h",
            )
        ),
        vm.Graph(figure=px.density_heatmap(tips, x="day", y="size", z="tip", histfunc="avg", text_auto="$.2f")),
        vm.Graph(figure=px.histogram(tips, x="sex", y="total_bill", color="day")),
        vm.Graph(figure=px.pie(tips, values="tip", names="day", hole=0.4)),
        vm.Graph(
            figure=px.histogram(
                tips,
                y="day",
                x="total_bill",
                color="sex",
                barmode="group",
                orientation="h",
                category_orders={"day": ["Thur", "Fri", "Sat", "Sun"]},
            )
        ),
        vm.Graph(figure=px.violin(tips, y="total_bill", x="day", color="day", box=True)),
    ],
)

dashboard = vm.Dashboard(
    title="Vizro Demo",
    pages=[graphs, data],
    navigation=vm.Navigation(
        nav_selector=vm.NavBar(
            items=[
                vm.NavLink(
                    label="Graphs",
                    pages=["Visualize Data"],
                    icon="Bar Chart",
                ),
                vm.NavLink(
                    label="Table",
                    pages=["Explore Data"],
                    icon="Database",
                ),
            ]
        )
    ),
)
Vizro().build(dashboard).run()
Py.Cafe

vizro-cambridge-demo

Data Exploration and Visualization Platform
