PyCafe - Vizro - Data Visualization with Gapminder and Iris Datasets

app.py
requirements.txt
app.py
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# Vizro is an open-source toolkit for creating modular data visualization applications.
# check out https://github.com/mckinsey/vizro for more info about Vizro
# and checkout https://vizro.readthedocs.io/en/stable/ for documentation.

import vizro.plotly.express as px
from vizro import Vizro
import vizro.models as vm
from vizro._themes._colors import get_colors

COLORS = get_colors()
iris = px.data.iris()
gapminder = px.data.gapminder()
tips = px.data.tips()
tips["size"] = tips["size"].astype(str)
gapminder_positive = gapminder.copy()
gapminder_negative = gapminder.copy()
gapminder_negative['lifeExp'] = -gapminder_negative['lifeExp']
gapminder_mixed = gapminder.copy()
gapminder_mixed['lifeExp'] = gapminder_mixed['lifeExp'] - gapminder_mixed['lifeExp'].mean()

page = vm.Page(
    title="Default discrete and continuous",
    components=[
        vm.Graph(figure=px.choropleth(gapminder, locations="iso_alpha", color="lifeExp")),
        vm.Graph(figure=px.box(gapminder, x="continent", y="lifeExp", color="continent")),
    ],
)

page_two = vm.Page(
    title="Continuous scales",
    layout=vm.Grid(grid=[[0, 1, 2]]),
    components=[
        vm.Graph(title="Positive sequential",figure=px.choropleth(gapminder_positive, locations="iso_alpha", color="lifeExp")),
        vm.Graph(title="Negative sequential", figure=px.choropleth(gapminder_negative, locations="iso_alpha", color="lifeExp",
                                      color_continuous_scale=COLORS["SEQUENTIAL_RED"])),
        vm.Graph(title="Diverging", figure=px.choropleth(gapminder_mixed, locations="iso_alpha", color="lifeExp",
                                      color_continuous_scale=COLORS["DIVERGING_RED_CYAN"])),
    ],
)

page_three = vm.Page(
    title="Discrete with diverging",
    components=[
        vm.Graph(title="Diverging", figure=px.choropleth(gapminder_mixed, locations="iso_alpha", color="lifeExp",
                                      color_continuous_scale=COLORS["DIVERGING_RED_CYAN"])),
        vm.Graph(figure=px.box(gapminder, x="continent", y="lifeExp", color="continent")),
    ],
)


dashboard = vm.Dashboard(pages=[page, page_two, page_three])
Vizro().build(dashboard).run()
Py.Cafe

vizro-data-visualization-0

Data Visualization with Gapminder and Iris Datasets
