Panel - Getting Started .py Example

panel_getting_started.py

import numpy as np
import pandas as pd
from matplotlib.figure import Figure

data_url = "https://cdn.jsdelivr.net/gh/holoviz/panel@master/examples/assets/occupancy.csv"
data = pd.read_csv(data_url, parse_dates=["date"]).set_index("date")

primary_color = "#0072B5"
secondary_color = "#94EA84"


def mpl_plot(avg, highlight):
    fig = Figure(figsize=(10,5))
    ax = fig.add_subplot()
    avg.plot(ax=ax, c=primary_color)
    if len(highlight):
        highlight.plot(style="o", ax=ax, c=secondary_color)
    return fig


def find_outliers(variable="Temperature", window=20, sigma=10, view_fn=mpl_plot):
    avg = data[variable].rolling(window=window).mean()
    residual = data[variable] - avg
    std = residual.rolling(window=window).std()
    outliers = np.abs(residual) > std * sigma
    return view_fn(avg, avg[outliers])


# Panel
import panel as pn

pn.extension(sizing_mode="stretch_width", template="fast")

# Define labels and widgets
pn.pane.Markdown("Variable").servable(area="sidebar")
variable = pn.widgets.RadioBoxGroup(
    name="Variable", value="Temperature", options=list(data.columns), margin=(-10, 5, 10, 10)
).servable(area="sidebar")
window = pn.widgets.IntSlider(name="Window", value=20, start=1, end=60).servable(area="sidebar")

# Make your functions interactive, i.e. react to changes in widget values
ifind_outliers = pn.bind(find_outliers, variable, window, 10)

# Layout the interactive functions
pn.panel(ifind_outliers, sizing_mode="scale_both").servable()

# Configure the template
pn.state.template.param.update(
    site="Panel", title="Getting Started Example",
    accent_base_color=primary_color, header_background=primary_color,
)

requirements.txt

panel>=0.12.6
param>=1.12.0
pandas
matplotlib

Panel - Getting Started App

Introduction

This example shows the components of a Panel App in action: widgets, reactive functions, layouts, panes, and templates

Installation

pip install requirements.txt

Run the app

panel serve panel_getting_started.py --autoreload

Please note the --autoreload provides hot reload when developing. Don't use it for deployment.

The app is available at http://localhost:5006/panel_getting_started

Learn more

To get started with Panel check out the Panel Getting Started Guide. To get or provide help check out the community forum. For more inspiration check out my site awesome-panel.org.

Support us

If you want to support us please give us a ⭐ on Github (Panel, Awesome-Panel)

Promo Video

panel-getting-started-speedup.mp4