Py.Cafe

maxi.schulz/

vizro-on-pycafe-0

PyCafe on Vizro - create and share beautiful data apps in seconds

DocsPricing
  • app.py
  • requirements.txt
app.py
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import vizro.plotly.express as px
from vizro import Vizro
import vizro.models as vm
from vizro.figures import kpi_card, kpi_card_reference

df = px.data.iris()

page = vm.Page(
    title="Vizro on PyCafe",
    layout = vm.Layout(grid = [
        [0,0,0,1,2,3],
        [4,4,4,4,4,4],
        [4,4,4,4,4,4],
        [5,5,5,5,5,5],
        [5,5,5,5,5,5]
        ]),
    components=[
        vm.Card(text = """
        ### What is Vizro?

        Vizro is a toolkit for creating modular data visualization applications.

        Rapidly self-serve the assembly of customized dashboards in minutes - without the need for advanced coding or design experience - to create flexible and scalable, Python-enabled data visualization applications.

        """
        ),
        vm.Card(
                text="""
                ### Github

                Checkout Vizro's github page for further information and release notes. Contributions are always welcome!
            """,
            href = "https://github.com/mckinsey/vizro"
            ),
        vm.Card(
                text="""
                ### Docs

                Visit the documentation for codes examples, tutorials and API reference.
            """,
            href = "https://vizro.readthedocs.io/"
            ),
        vm.Card(
                text="""
                ### Gallery

                Head to Vizro's Gallery to see some beautiful dashboards for inspiration.
            """,
            href = "https://huggingface.co/vizro"
            ),
        vm.Graph(id="scatter_chart", figure=px.scatter(df, x="sepal_length", y="petal_width", color="species")),
        vm.Graph(id="hist_chart", figure=px.histogram(df, x="sepal_width", color="species")),
    ],
    controls=[
        vm.Filter(column="species", selector=vm.Dropdown(value=["ALL"])),
        vm.Filter(column="petal_length"),
        vm.Filter(column="sepal_width")
    ],
)

dashboard = vm.Dashboard(pages=[page])

Vizro().build(dashboard).run()