Bootstrap Dashboard

A Bootstrap like dashboard

Introduction

This dashboard demonstrates that a dashboard layout similar to the Bootstrap dashboard template can be implemented in Panel.

App

This app runs entirely in the browser via Pyodide and panel convert.

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Code

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"""
See https://awesome-panel.org/resources/bootstrap_dashboard/
"""
import hvplot.pandas  # pylint: disable=unused-import
import pandas as pd
import panel as pn

BOOTSTRAP_DASHBOARD_CHART_URL="https://awesomepanel.blob.core.windows.net/resources/bootstrap_dashboard/bootstrap_dashboard_chart.csv"
BOOTSTRAP_DASHBOARD_TABLE_URL="https://awesomepanel.blob.core.windows.net/resources/bootstrap_dashboard/bootstrap_dashboard_table.csv"

COLOR="#0072B5"

@pn.cache
def _get_chart_data():
    return pd.read_csv(BOOTSTRAP_DASHBOARD_CHART_URL)

@pn.cache
def _get_table_data():
    return pd.read_csv(BOOTSTRAP_DASHBOARD_TABLE_URL)

def _holoviews_chart():
    """## Dashboard Orders Chart generated by HoloViews"""
    data = _get_chart_data()
    line_plot = data.hvplot.line(
        x="Day",
        y="Orders",
        height=500,
        line_color=COLOR,
        line_width=6,
    )
    scatter_plot = data.hvplot.scatter(x="Day", y="Orders", height=300,).opts(
        marker="o",
        size=10,
        color=COLOR,
    )
    fig = line_plot * scatter_plot
    gridstyle = {
        "grid_line_color": "black",
        "grid_line_width": 0.1,
    }
    fig = fig.opts(
        responsive=True,
        toolbar=None,
        yticks=list(
            range(
                12000,
                26000,
                2000,
            )
        ),
        ylim=(
            12000,
            26000,
        ),
        gridstyle=gridstyle,
        show_grid=True,
    )
    return fig

app = pn.extension("tabulator", sizing_mode="stretch_width")

pn.template.FastListTemplate(
    site="Awesome Panel", site_url="https://awesome-panel.org", title="Bootstrap Dashboard",
    main=[
        pn.Column(
            pn.pane.Markdown("## Dashboard"),
            _holoviews_chart()),
            pn.Column(pn.pane.Markdown("## Section Title"),
            pn.widgets.Tabulator(_get_table_data(), layout='fit_data_stretch')),
    ], main_max_width="800px", main_layout=None,
).servable()

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