Dash Core Components
Dash ships with supercharged components for interactive user interfaces.
This core set of components is available in theDashCoreComponents library.
The dcc module is part of Dash and you’ll find the source for it in the Dash GitHub repo.
Tip: In production Dash apps, we recommend using Dash Enterprise Design Kit to manage the styling and layout of Dash Core Components.
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, html, dcc
app = Dash(__name__)
app.layout = html.Div([
dcc.Dropdown(['New York City', 'Montréal', 'San Francisco'], 'Montréal')
])
if __name__ == '__main__':
app.run(debug=True)
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.Dropdown(['New York City', 'Montréal', 'San Francisco'], 'Montréal', multi=True)
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.Slider(-5, 10, 1, value=-3)
])
if __name__ == '__main__':
app.run(debug=True)
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.Slider(0, 9, marks={i: f'Label{i}' for i in range(10)}, value=5)
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.RangeSlider(-5, 10, 1, count=1, value=[-3, 7])
])
if __name__ == '__main__':
app.run(debug=True)
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, html, dcc
app = Dash(__name__)
app.layout = html.Div([
dcc.RangeSlider(-5, 6,
marks={i: f'Label{i}' for i in range(-5, 7)},
value=[-3, 4]
)
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.Input(
placeholder='Enter a value...',
type='text',
value=''
)
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.Textarea(
placeholder='Enter a value...',
value='This is a TextArea component',
style={'width': '100%'}
)
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.Checklist(['New York City', 'Montréal', 'San Francisco'],
['Montréal', 'San Francisco'])
])
if __name__ == '__main__':
app.run(debug=True)
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.Checklist(
['New York City', 'Montréal', 'San Francisco'],
['Montréal', 'San Francisco'],
inline=True
)
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.RadioItems(['New York City', 'Montréal', 'San Francisco'], 'Montréal')
])
if __name__ == '__main__':
app.run(debug=True)
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.RadioItems(
['New York City', 'Montréal', 'San Francisco'],
'Montréal',
inline=True
)
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, html, dcc, callback, Input, Output, State, callback
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div([
html.Div(dcc.Input(id='input-box', type='text')),
html.Button('Submit', id='button-example-1'),
html.Div(id='output-container-button',
children='Enter a value and press submit')
])
@callback(
Output('output-container-button', 'children'),
Input('button-example-1', 'n_clicks'),
State('input-box', 'value'))
def update_output(n_clicks, value):
return 'The input value was "{}" and the button has been clicked {} times'.format(
value,
n_clicks
)
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
from datetime import date
app = Dash(__name__)
app.layout = html.Div([
dcc.DatePickerSingle(
id='date-picker-single',
date=date(1997, 5, 10)
)
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
from datetime import date
app = Dash(__name__)
app.layout = html.Div([
dcc.DatePickerRange(
id='date-picker-range',
start_date=date(1997, 5, 3),
end_date_placeholder_text='Select a date!'
)
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.Markdown('''
#### Dash and Markdown
Dash supports [Markdown](http://commonmark.org/help).
Markdown is a simple way to write and format text.
It includes a syntax for things like **bold text** and *italics*,
[links](http://commonmark.org/help), inline `code` snippets, lists,
quotes, and more.
''')
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html, Input, Output, callback
from dash.exceptions import PreventUpdate
app = Dash(prevent_initial_callbacks=True)
app.layout = html.Div(
[html.Button("Download Text", id="btn_txt"), dcc.Download(id="download-text-index")]
)
@callback(Output("download-text-index", "data"), Input("btn_txt", "n_clicks"))
def func(n_clicks):
if n_clicks is None:
raise PreventUpdate
else:
return dict(content="Hello world!", filename="hello.txt")
if __name__ == "__main__":
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html, Input, Output, callback
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div([
dcc.Tabs(id="tabs", value='tab-1', children=[
dcc.Tab(label='Tab one', value='tab-1'),
dcc.Tab(label='Tab two', value='tab-2'),
]),
html.Div(id='tabs-content')
])
@callback(Output('tabs-content', 'children'),
Input('tabs', 'value'))
def render_content(tab):
if tab == 'tab-1':
return html.Div([
html.H3('Tab content 1')
])
elif tab == 'tab-2':
return html.Div([
html.H3('Tab content 2')
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.Graph(
figure=dict(
data=[
dict(
x=[1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003,
2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012],
y=[219, 146, 112, 127, 124, 180, 236, 207, 236, 263,
350, 430, 474, 526, 488, 537, 500, 439],
name='Rest of world',
marker=dict(
color='rgb(55, 83, 109)'
)
),
dict(
x=[1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003,
2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012],
y=[16, 13, 10, 11, 28, 37, 43, 55, 56, 88, 105, 156, 270,
299, 340, 403, 549, 499],
name='China',
marker=dict(
color='rgb(26, 118, 255)'
)
)
],
layout=dict(
title='US Export of Plastic Scrap',
showlegend=True,
legend=dict(
x=0,
y=1.0
),
margin=dict(l=40, r=0, t=40, b=30)
)
),
style={'height': 300},
id='my-graph-example'
)
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html
app = Dash(__name__)
app.layout = html.Div([
dcc.ConfirmDialogProvider(
children=html.Button(
'Click Me',
),
id='danger-danger',
message='Danger danger! Are you sure you want to continue?'
)
])
if __name__ == '__main__':
app.run(debug=True)
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html, Input, Output, State, callback
app = Dash(__name__)
app.layout = html.Div([
dcc.Store(id='my-store'),
dcc.RadioItems(['NYC', 'MTL', 'SF'], 'NYC', id='my-store-input'),
html.Div(id='current-store')
])
@callback(
Output('my-store', 'data'),
Input('my-store-input', 'value')
)
def update_store(value):
return value
@callback(
Output('current-store', 'children'),
Input('my-store', 'modified_timestamp'),
State('my-store', 'data')
)
def display_store_info(timestamp, data):
return f"The store currently contains {data} and the modified timestamp is {timestamp}"
if __name__ == '__main__':
app.run(debug=True)
The store must be used with callbacks
**
This example has not been ported to R yet - showing the Python version instead.
Visit the old docs site for R at: https://community.plotly.com/c/dash/r/21
from dash import Dash, dcc, html, Input, Output, callback
import time
app = Dash(__name__)
app.layout = html.Div(
[
dcc.RadioItems(
["Montreal", "New York", "London"], "London", id="loading-demo-dropdown"
),
dcc.Loading([html.Div(id="loading-demo")]),
]
)
@callback(Output("loading-demo", "children"), Input("loading-demo-dropdown", "value"))
def update_loading_div(value):
time.sleep(2)
return f"You selected {value}"
if __name__ == "__main__":
app.run(debug=True)
**