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.
using Pkg
Pkg.status("Dash")
using Dash
app = dash()
app.layout = html_div(style = Dict("height" => "150px")) do
dcc_dropdown(
options = [
(label = "New York City", value = "NYC"),
(label = "Montreal", value = "MTL"),
(label = "San Francisco", value = "SF")
],
value = "MTL",
)
end
run_server(app, "0.0.0.0", debug=true)
using Dash
app = dash()
app.layout = dcc_dropdown(
options=[
Dict("label" => "New York City", "value" => "NYC"),
Dict("label" => "Montréal", "value" => "MTL"),
Dict("label" => "San Francisco", "value" => "SF")
],
multi=true,
value="MTL"
)
run_server(app, "0.0.0.0", debug=true)
**
This example has not been ported to Julia yet - showing the Python version instead.
Visit the old docs site for Julia at: https://community.plotly.com/c/dash/julia/20
from dash import Dash, dcc, html
app = Dash()
app.layout = html.Div([
dcc.Slider(-5, 10, 1, value=-3)
])
if __name__ == '__main__':
app.run(debug=True)
using Dash
app = dash()
app.layout = html_div() do
dcc_slider(
min=1,
max=10,
step=nothing,
value=1,
marks=Dict([i => ("Label$(i)") for i = 1:10]),
)
end
run_server(app, "0.0.0.0", debug=true)
**
using Dash
app = dash()
app.layout = html_div() do
dcc_rangeslider(
count=1,
min=-5,
max=10,
step=0.5,
value=[-3, 7]
)
end
run_server(app, "0.0.0.0", debug=true)
using Dash
app = dash()
app.layout = html_div() do
dcc_rangeslider(
count=1,
min=-5,
max=6,
step=0.5,
value=[-3, 4],
marks=Dict([i => ("Label$(i)") for i = -5:7]),
)
end
run_server(app, "0.0.0.0", debug=true)
**
using Dash
app = dash()
app.layout = html_div() do
dcc_input(
placeholder="Enter a value...",
type="text",
value=""
)
end
run_server(app, "0.0.0.0", debug=true)
app.layout = dcc_input(
placeholder = "Enter a value...",
type = "text",
value = "",
)
run_server(app, "0.0.0.0", debug=true)
**
using Dash
app = dash()
app.layout = html_div() do
dcc_textarea(
placeholder="Enter a value...",
value="This is a TextArea component",
style=Dict("width" => "100%")
)
end
run_server(app, "0.0.0.0", debug=true)
app.layout = dcc_textarea(
placeholder = "Enter a value...",
value="This is a TextArea component",
style=Dict("width" => "100%")
)
run_server(app, "0.0.0.0", debug=true)
**
using Dash
app = dash()
app.layout = dcc_checklist(
options =[
Dict("label" => "New York City", "value" => "NYC"),
Dict("label" => "Montréal", "value" => "MTL"),
Dict("label" => "San Francisco", "value" => "SF")
],
value=["MTL", "SF"]
)
run_server(app, "0.0.0.0", debug=true)
using Dash
app = dash()
app.layout = dcc_checklist(
options =[
Dict("label" => "New York City", "value" => "NYC"),
Dict("label" => "Montréal", "value" => "MTL"),
Dict("label" => "San Francisco", "value" => "SF")
],
value=["MTL", "SF"],
labelStyle=Dict("display" => "inline-block")
)
run_server(app, "0.0.0.0", debug=true)
**
using Dash
app = dash()
app.layout = dcc_radioitems(
options =[
Dict("label" => "New York City", "value" => "NYC"),
Dict("label" => "Montréal", "value" => "MTL"),
Dict("label" => "San Francisco", "value" => "SF")
],
value="MTL"
)
run_server(app, "0.0.0.0", debug=true)
using Dash
app = dash()
app.layout = dcc_radioitems(
options =[
Dict("label" => "New York City", "value" => "NYC"),
Dict("label" => "Montréal", "value" => "MTL"),
Dict("label" => "San Francisco", "value" => "SF")
],
value="MTL",
labelStyle=Dict("display" => "inline-block")
)
run_server(app, "0.0.0.0", debug=true)
**
using Dash
external_stylesheets = ["https://codepen.io/chriddyp/pen/bWLwgP.css"]
app = dash(external_stylesheets=external_stylesheets)
app.layout = html_div() do
html_div(dcc_input(id ="input-box", type="text")),
html_button("Submit", id="button"),
html_div(id="output-container-button", children="Enter a value and press submit")
end
callback!(
app,
Output("output-container-button", "children"),
Input("button", "n_clicks"), State("input-box", "value")) do n_clicks, value
return "The input value was $(value) and the button has been clicked $n_clicks times"
end
run_server(app, "0.0.0.0", debug=true)
**
using Dash
using Dates
app = dash()
app.layout = dcc_datepickersingle(
id="date-picker-single",
date=DateTime(1997, 5, 10)
)
run_server(app, "0.0.0.0", debug=true)
**
using Dash
using Dates
app = dash()
app.layout = dcc_datepickerrange(
id="date-picker-range",
start_date=DateTime(1997, 5, 3),
end_date_placeholder_text="Select a date!"
)
run_server(app, "0.0.0.0", debug=true)
**
using Dash
app = dash()
app.layout = 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.
""")
run_server(app, "0.0.0.0", debug=true)
**
using Dash
app = dash(prevent_initial_callbacks=true)
app.layout = html_div(
[
html_button("Download Text", id="btn_txt"),
dcc_download(id="download-text-index")
]
)
callback!(
app, Output("download-text-index", "data"),
Input("btn_txt", "n_clicks")) do n_clicks
if n_clicks isa Nothing
throw(PreventUpdate())
else
return (content = "Hello world!", filename="hello.txt")
end
end
run_server(app, "0.0.0.0", debug=true)
**
using Dash
external_stylesheets = ["https://codepen.io/chriddyp/pen/bWLwgP.css"]
app = dash(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!(
app, Output("tabs-content", "children"),
Input("tabs", "value")) do tab
if tab == "tab-1"
return html_div([
html_h3("Tab content 1")
])
else
return html_div([
html_h3("Tab content 2")
])
end
end
run_server(app, "0.0.0.0", debug=true)
**
using Dash, PlotlyJS, DataFrames
df_wide = DataFrame(
year=1995:2012,
world=[219, 146, 112, 127, 124, 180, 236, 207, 236, 263, 350, 430, 474, 526, 488, 537, 500, 439],
china=[16, 13, 10, 11, 28, 37, 43, 55, 56, 88, 105, 156, 270, 299, 340, 403, 549, 499],
)
df = DataFrames.stack(df_wide, Not(:year), variable_name=:country, value_name=:y)
fig = plot(
df, x=:year, y=:y, color=:country,
Layout(
title_text="US Export of Plastic Scrap",
legend=attr(x=0, y=1)
)
)
app = dash()
app.layout = dcc_graph(figure=fig, style=Dict("height"=>300), id="my-graph")
run_server(app, "0.0.0.0", debug=true)
**
using Dash
app = dash()
app.layout = dcc_confirmdialogprovider(
children=html_button(
"Click Me",
),
id="confirm",
message="Danger danger! Are you sure you want to continue?"
)
run_server(app, "0.0.0.0", debug=true)
**
using Dash
app = dash()
app.layout = dcc_store(id="my-store", data=Dict("my-data" => "data"))
run_server(app, "0.0.0.0", debug=true)
The store must be used with callbacks
**
using Dash
app = dash()
app.layout = dcc_loading([
# ...
])
run_server(app, "0.0.0.0", debug=true)
**