Customize Tooltops (Hover Templates)

Hover templates can be customized for series to display different values when hovering over a datapoint.

• Use the extra_options of the series object to define a hovertemplate

• See more details about customizing the hovertemplate here: https://plotly.com/python/hover-text-and-formatting/

import pandas as pd

from visualization_toolkit.helpers.plotly import chart, axis, series
from visualization_toolkit.helpers.plotly.theme import ATLAS_THEME


fig = chart(
    pdf,
    x_axis=axis(column_name="fiscal_qy", label="Fiscal Quarter"),
    y1_axis=axis(label="Downloads", axis_type="number", axis_min=0),
    chart_series=[
        series(
            column_name="ios_dl_idx",
            mode="bar",
            is_stacked=True,
            pivot_column_name="region",
            include_all_categories=True,
            # sort categories by total downloads using the ios_dl_idx column
            # in descending order (the "-" indicates descending)
            category_sort_column_name="-ios_dl_idx",
            extra_options={"hovertemplate": "%{y:,.0f}"},
        ),
    ],
    theme=ATLAS_THEME,
)

fig