Card#
Open this notebook in Jupyterlite | Download this notebook from GitHub (right-click to download).
import panel as pn
pn.extension()
The Card
layout allows arranging multiple Panel objects in a collapsible, vertical container with a header bar. It has a list-like API with methods for interactively updating and modifying the layout, including append
, extend
, clear
, insert
, pop
, remove
and __setitem__
(for replacing the card’s contents).
Card
components are very helpful for laying out components in a grid in a complex dashboard to make clear visual separations between different sections. The ability to collapse them can also be very useful to save space on a page with a lot of components.
Parameters:#
collapsed
(bool): Whether theCard
is collapsed.collapsible
(bool): Whether theCard
can be expanded and collapsed.header
(Viewable): A Panel component to display in the header bar of the Card.hide_header
(bool): Whether to hide theCard
header.objects
(list): The list of objects to display in the Card, which will be formatted like aColumn
. Should not generally be modified directly except when replaced in its entirety.title
(str): The title to display in the header bar if no explicitheader
is defined.
Styling related parameters:
active_header_background
(str): The background color of the header when theCard
is expanded.background
(str): The background color of the content area.header_color
(str): The color of the header text.button_css_classes
(list[str]): The list of CSS classes to apply to the collapse button.css_classes
(list[str]): The list of CSS classes to apply to the main area.header_background
(str): The background color of the header.header_css_classes
(list[str]): The list of CSS classes to apply to the header.
For details on other options for customizing the component see the layout and styling how-to guides.
A Card
layout can either be instantiated as empty and populated after the fact, or by using a list of objects provided on instantiation as positional arguments. If the objects are not already Panel components they will each be converted to one using the pn.panel
conversion method. Unlike the Row
and Column
layouts, a Card
has an explicit title
that will be shown in the header bar alongside the collapse button (if the collapsible
parameter is enabled):
w1 = pn.widgets.TextInput(name='Text:')
w2 = pn.widgets.FloatSlider(name='Slider')
card = pn.Card(w1, w2, title='Card', styles={'background': 'WhiteSmoke'})
card
The contents of the Card.objects
list should never be modified individually, because Panel cannot detect when items in that list have changed internally, and will thus fail to update any already-rendered views of those objects. Instead, use the provided methods for adding and removing items from the list. The only change that is safe to make directly to Card.objects
is to replace the list of objects
entirely. As a simple example of using the methods, we might add an additional widget to the card using the append method:
w3 = pn.widgets.Select(options=['A', 'B', 'C'])
card.append(w3)
On a live server or in a notebook the card
displayed after the previous code cell (above) will dynamically expand in size to accommodate all three widgets and the title. To see the effect in a statically rendered page, we will display the column a second time:
card
Whether the Card
is collapsed or not can be controlled from Python and Javascript:
print(card.collapsed)
card.collapsed = True
False
Header#
Instead of using a title
, a Card
may also be given an explicit header
that can contain any component, e.g. in this case the Panel logo:
logo = 'https://panel.holoviz.org/_static/logo_horizontal.png'
red = pn.Spacer(styles=dict(background='red'), height=50)
green = pn.Spacer(styles=dict(background='green'), height=50)
blue = pn.Spacer(styles=dict(background='blue'), height=50)
pn.Card(
red, green, blue,
header_background='#2f2f2f',
header_color='white',
header=pn.panel(logo, height=40),
width=300,
)
It is also possible to render a Card
entirely without a header:
pn.Card(
pn.indicators.Number(value=42, default_color='white', name='Completion', format='{value}%'),
styles={'background': 'lightgray'},
hide_header=True,
width=160
)
Layout#
In general a Card
does not have to be given an explicit width
, height
, or sizing_mode
, allowing it to adapt to the size of its contents. However in certain cases it can be useful to declare a fixed-size layout, which its responsively sized contents will then fill, making it possible to achieve equal spacing between multiple objects:
red = pn.Spacer(styles=dict(background='red'), sizing_mode='stretch_both')
green = pn.Spacer(styles=dict(background='green'), sizing_mode='stretch_both')
blue = pn.Spacer(styles=dict(background='blue'), sizing_mode='stretch_both')
pn.Card(red, green, blue, height=300, width=200, title='Fixed size')
When no fixed size is specified the column will expand to accommodate the sizing behavior of its contents:
from bokeh.plotting import figure
p1 = figure(height=250, sizing_mode='stretch_width', margin=5)
p2 = figure(height=250, sizing_mode='stretch_width', margin=5)
p1.line([1, 2, 3], [1, 2, 3])
p2.circle([1, 2, 3], [1, 2, 3])
pn.Card(p1, pn.layout.Divider(), p2, title="Responsive", sizing_mode='stretch_width')
Open this notebook in Jupyterlite | Download this notebook from GitHub (right-click to download).