Row#

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import panel as pn
pn.extension()

The Row layout allows arranging multiple panel objects in a horizontal container. It has a list-like API with methods to append, extend, clear, insert, pop, remove and __setitem__, which make it possible to interactively update and modify the layout.




Parameters:#


For details on other options for customizing the component see the layout and styling how-to guides.


    

  • objects (list): The list of objects to display in the Column, should not generally be modified directly except when replaced in its entirety.
    • 

  • scroll (boolean): Enable scrollbars if the content overflows the size of the container.
    • 





A Row layout can either be instantiated as empty and populated after the fact or using a list of objects provided as positional arguments. If the objects are not already panel components they will each be converted to one using the pn.panel conversion method.


w1 = pn.widgets.TextInput(name='Text:')
w2 = pn.widgets.FloatSlider(name='Slider')

row = pn.Row('# Row', w1, w2, styles=dict(background='WhiteSmoke'))
row








In general it is preferred to modify layouts only through the provided methods and avoid modifying the objects parameter directly. The one exception is when replacing the list of objects entirely, otherwise it is recommended to use the methods on the Row itself to ensure that the rendered views of the Column are rerendered in response to the change. As a simple example we might add an additional widget to the row using the append method:


w3 = pn.widgets.Select(options=['A', 'B', 'C'], name='Select')
row.append(w3)





On a live server or in a notebook the row displayed 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 row a second time:


row








In general a Row 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:


pn.Row(
    pn.Spacer(styles=dict(background='red'),   sizing_mode='stretch_both'),
    pn.Spacer(styles=dict(background='green'), sizing_mode='stretch_both'),
    pn.Spacer(styles=dict(background='blue'),  sizing_mode='stretch_both'),
    height=200, width=600
)








When no fixed size is specified the row will expand to accommodate the sizing behavior of its contents:


from bokeh.plotting import figure

p1 = figure(height=200, sizing_mode='stretch_width')
p2 = figure(height=200, sizing_mode='stretch_width')

p1.line([1, 2, 3], [1, 2, 3])
p2.circle([1, 2, 3], [1, 2, 3])

pn.Row(p1, p2)








Lastly it is also possible to enable scrollbars on the Row container in case the content overflows the specified height and width:


pn.Row(
    pn.Spacer(styles=dict(background='red'), width=200, height=200),
    pn.Spacer(styles=dict(background='green'), width=200, height=200),
    pn.Spacer(styles=dict(background='blue'), width=200, height=200),
    scroll=True, width=420
)










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