您可以在plotly 文檔中找到一堆 Dash 示例，大多數(shù)示例都以有關(guān)如何使用 Dash 構(gòu)建圖形的注釋結(jié)尾：達(dá)世幣呢？Dash 是一個(gè)用于構(gòu)建分析應(yīng)用程序的開源框架，不需要 JavaScript，并且與 Plotly 圖形庫(kù)緊密集成。但我想在 JupyterLab 中啟動(dòng)它們。那么我必須在以下“正常”Dash 應(yīng)用程序中進(jìn)行哪些更改才能使其在 JupyterLab 中運(yùn)行？代碼示例：import plotly.graph_objects as goimport plotly.express as pximport dashimport dash_core_components as dccimport dash_html_components as html# data and plotly figuredf = px.data.gapminder().query("country=='Canada'")fig = px.line(df, x="year", y="lifeExp", title='Life expectancy in Canada')# Set up Dash appapp = dash.Dash()app.layout = html.Div([? ? dcc.Graph(figure=fig)])# Launch Dash appapp.run_server(debug=True,? ? ? ? ? ? ? ?use_reloader=False # Turn off reloader if inside Jupyter? ? ? ? ? ? ? )?
1 回答
神不在的星期二
TA貢獻(xiàn)1963條經(jīng)驗(yàn) 獲得超6個(gè)贊
任何可用的 Dash 應(yīng)用程序都可以通過JupyterLab啟動(dòng)，并使用問題中描述的設(shè)置，方法是use_reloader=False在以下位置指定：
app.run_server(debug=True,
use_reloader=False # Turn off reloader if inside Jupyter
)
但如果您想使用 JupyterLab 并launching the app in your default browser, inline in a cell or directly in Jupyter在其自己的選項(xiàng)卡中進(jìn)行選擇，只需按照以下簡(jiǎn)單步驟操作：
更改以下行
# 1
import dash
# 2
app = dash.Dash()
# 3
app.run_server(debug=True,
use_reloader=False # Turn off reloader if inside Jupyter
)
對(duì)此：
# 1
from jupyter_dash import JupyterDash
# 2
app = JupyterDash(__name__)
# 3
app.run_server(mode='inline', port = 8070, dev_tools_ui=True,
dev_tools_hot_reload =True, threaded=True)
這將直接在 JupyterLab 中內(nèi)聯(lián)啟動(dòng) Dash ：
但您也可以mode='external'啟動(dòng) Dash 它自己的選項(xiàng)卡：
您可以設(shè)置mode='external'在默認(rèn)瀏覽器中啟動(dòng)它。
經(jīng)過更改的完整代碼：'
import plotly.graph_objects as go
import plotly.express as px
# import dash
from jupyter_dash import JupyterDash
import dash_core_components as dcc
import dash_html_components as html
# data and plotly figure
df = px.data.gapminder().query("country=='Canada'")
fig = px.line(df, x="year", y="lifeExp", title='Life expectancy in Canada')
# Set up Dash app
# app = dash.Dash()
app = JupyterDash(__name__)
app.layout = html.Div([
dcc.Graph(figure=fig)
])
# Launch Dash app
# app.run_server(debug=True,
# use_reloader=False # Turn off reloader if inside Jupyter
# )
app.run_server(mode='inline', port = 8070, dev_tools_ui=True,
dev_tools_hot_reload =True, threaded=True)
添加回答
舉報(bào)
0/150
提交
取消