FastListTemplate#

Open this notebook in Jupyterlite | Download this notebook from GitHub (right-click to download).

For a large variety of use cases we do not need complete control over the exact layout of each individual component on the page, as could be achieved with a custom template, we just want to achieve a more polished look and feel. For these cases Panel ships with a number of default templates, which are defined by declaring four main content areas on the page, which can be populated as desired:

  • header: The header area of the HTML page

  • sidebar: A collapsible sidebar

  • main: The main area of the application

  • modal: A modal area which can be opened and closed from Python

These four areas behave very similarly to other Panel layout components and have list-like semantics. This means we can easily append new components into these areas. Unlike other layout components however, the contents of the areas is fixed once rendered. If you need a dynamic layout you should therefore insert a regular Panel layout component (e.g. a Column or Row) and modify it in place once added to one of the content areas.

Templates can allow for us to quickly and easily create web apps for displaying our data. Panel comes with a default Template, and includes multiple Templates that extend the default which add some customization for a better display.

Parameters:#

In addition to the four different areas we can populate, the FastListTemplate also provides the parameters below:

  • site (str): Name of the site. Will be shown in the header. Default is ‘’, i.e. not shown.

  • site_url (str): Url of the site and logo. Default is “/”.

  • logo (str): URI of logo to add to the header (if local file, logo is base64 encoded as URI).

  • title (str): A title to show in the header. Also added to the document head meta settings and as the browser tab title.

  • favicon (str): URI of favicon to add to the document head (if local file, favicon is base64 encoded as URI).

  • sidebar_footer (str): Can be used to insert additional HTML. For example a menu, some additional info, links etc.

  • config (TemplateConfig): Contains configuration options similar to pn.config but applied to the current Template only. (Currently only css_files is supported)

  • busy_indicator (BooleanIndicator): Visual indicator of application busy state.

For styling you can use

  • theme (Theme): A Theme class (available in panel.template. One of DefaultTheme or DarkTheme).

    • For convenience you can provide “default” or “dark” string to the constructor.

    • If you add ?theme=default or ?theme=dark in the url this will set the theme unless explicitly declared

  • theme_toggle (boolean): If True a switch to toggle the Theme is shown. Default is True.

  • background_color (str): Optional body background color override.

  • neutral_color (str): Optional body neutral color override.

  • accent_base_color (str): Optional body accent base color override. The default is #0072B5 (French Blue).

  • header_background (str): Optional header background color override.

  • header_color (str): Optional header text color override.

  • header_neutral_color (str): Optional header neutral color override.

  • header_accent_base_color (str): Optional header accent base color override.

  • corner_radius (str): The corner radius applied to controls.

  • font (str): A font url to import.

  • font_url (str): A font url to import.

  • shadow (str): Optional shadow override. Whether or not to apply shadow.

  • main_layout (str): What to wrap the main components into. Options are ‘’ (i.e. none) and ‘card’ (Default). Could be extended to Accordion, Tab etc. in the future.

The accent argument is a short cut to set both the accent_base_color and the header_background. Some accent colors that work well are #A01346 (Fast), #00A170 (Mint), #DAA520 (Golden Rod), #2F4F4F (Dark Slate Grey), #F08080 (Light Coral) and #4099da (Summer Sky).

For layout you can use

  • collapsed_sidebar (str, default=False): Whether the sidebar (if present) is initially collapsed.

  • sidebar_width (int): The width of the sidebar in pixels. Default is 330.

  • main_max_width (str): The maximum width of the main area. For example ‘800px’ or ‘80%’. If the string is ‘’ (default) no max width is set.

For meta and base values you can use

  • meta_description (str): A meta description to add to the document head for search engine optimization. For example ‘P.A. Nelson’.

  • meta_keywords (str): Meta keywords to add to the document head for search engine optimization.

  • meta_author (str): A meta author to add to the the document head for search engine optimization. For example ‘P.A. Nelson’.

  • meta_refresh (str): A meta refresh rate to add to the document head. For example ‘30’ will instruct the browser to refresh every 30 seconds. Default is ‘’, i.e. no automatic refresh.

  • meta_viewport (str): A meta viewport to add to the header.

  • base_url (str): Specifies the base URL for all relative URLs in a page. Default is ‘’, i.e. not the domain.

  • base_target (str): Specifies the base Target for all relative URLs in a page. Default is _self.

In this case we are using the FastListTemplate, built using the Fast.design framework. Here is an example of how you can set up a display using this template:

import hvplot.pandas
import numpy as np
import panel as pn
import pandas as pd

xs = np.linspace(0, np.pi)

freq = pn.widgets.FloatSlider(name="Frequency", start=0, end=10, value=2)
phase = pn.widgets.FloatSlider(name="Phase", start=0, end=np.pi)

def sine(freq, phase):
    return pd.DataFrame(dict(y=np.sin(xs*freq+phase)), index=xs)

def cosine(freq, phase):
    return pd.DataFrame(dict(y=np.cos(xs*freq+phase)), index=xs)

dfi_sine = hvplot.bind(sine, freq, phase).interactive()
dfi_cosine = hvplot.bind(cosine, freq, phase).interactive()

plot_opts = dict(
    responsive=True, min_height=400,
    # Align the curves' color with the template's color
    color=pn.template.FastListTemplate.accent_base_color
)

# Instantiate the template with widgets displayed in the sidebar
template = pn.template.FastListTemplate(
    title="FastListTemplate",
    sidebar=[freq, phase],
)
# Append a layout to the main area, to demonstrate the list-like API
template.main.append(
    pn.Row(
        dfi_sine.hvplot(title='Sine', **plot_opts).output(),
        dfi_cosine.hvplot(title='Cosine', **plot_opts).output(),
    )
)
template.servable();

Each built-in template comes with a light (default) and dark theme. The theme can be set when instantiating the template with the theme parameter, or globally.


FastListTemplate with DefaultTheme




FastListTemplate with DarkTheme





Tip


Built-in templates don’t render necessarily well in a notebook as their styling can badly interact with the notebook built-in styling. You can disable rendering the output of a cell using ;, as done above. For development purposes, the app can be quickly rendered in another tab by replacing .servable() with .show(). Alternatively, the JupyterLab Preview can be used to display objects marked with .servable() in a new JupyterLab tab, circumventing any potential styling issue.








Tips & Tricks#




Restrict the height of cards in the main area and keep full screen mode working#


The FastListTemplate is organized horizontally into cards. Each card provides a full screen button in the top, right corner. Below we will describe how to configure for full screen mode.


In order for a Panel component to maximize in full screen mode its


    

  • sizing_mode should be set to "stretch_both"
    • 

  • height, width, max_height and max_width should not be set.
    • 



This will force the card to also stretch_both in non full screen mode. To set a specific max-height in non full screen mode, you can use raw_css on the template.


Example


import panel as pn

pn.extension(sizing_mode="stretch_width")

CSS = """
div.card-margin:nth-child(1) {
    max-height: 300px;
}
div.card-margin:nth-child(2) {
    max-height: 400px;
}
"""

layout1 = pn.Column(styles={"background": "green"}, sizing_mode="stretch_both")
layout2 = pn.Column(styles={"background": "red"}, sizing_mode="stretch_both")

pn.template.FastListTemplate(site="Panel", title="App", main=[layout1, layout2], raw_css=[CSS]).servable()









Open this notebook in Jupyterlite | Download this notebook from GitHub (right-click to download).