在 Google Colab Notebook 中启动 Dash 应用程序
Launch a Dash app in a Google Colab Notebook
如何启动 Dash 应用程序 (http://dash.plot.ly) from Google Colab (https://colab.research.google.com)?
据我所知,目前没有直接的方法可以做到这一点。
在下面找到类似于设置 Tensorboard (https://www.dlology.com/blog/quick-guide-to-run-tensorboard-in-google-colab/) 的解决方法。
从设置此解决方法所需的所有内容的代码单元开始:
# How to run a Dash app in Google Colab
## Requirements
### Install ngrok
!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip
!unzip ngrok-stable-linux-amd64.zip
### Run ngrok to tunnel Dash app port 8050 to the outside world.
### This command runs in the background.
get_ipython().system_raw('./ngrok http 8050 &')
### Get the public URL where you can access the Dash app. Copy this URL.
! curl -s http://localhost:4040/api/tunnels | python3 -c \
"import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])"
### Install Dash
!pip install dash==0.31.1 # The core dash backend
!pip install dash-html-components==0.13.2 # HTML components
!pip install dash-core-components==0.39.0 # Supercharged components
!pip install dash-table==3.1.7 # Interactive DataTable component (new!)
为您的 Dash 应用添加另一个代码单元:
## Dash app (https://dash.plot.ly/getting-started)
### Save file with Dash app on the Google Colab machine
%%writefile my_app1.py
import dash
import dash_core_components as dcc
import dash_html_components as html
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div(children=[
html.H1(children='Hello Dash'),
html.Div(children='''
Dash: A web application framework for Python.
'''),
dcc.Graph(
id='example-graph',
figure={
'data': [
{'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'SF'},
{'x': [1, 2, 3], 'y': [2, 4, 5], 'type': 'bar', 'name': u'Montréal'},
],
'layout': {
'title': 'Dash Data Visualization'
}
}
)
])
if __name__ == '__main__':
app.run_server(debug=True)
在最后一个代码单元格中,您可以启动您的 Dash 应用程序(此单元格将很忙,直到您停止执行并因此停止您的 Dash 应用程序)。
### Run Dash app
!python my_app1.py
要访问 Dash 应用程序,请将上面的 ngrok.io-URL 复制并粘贴到新的浏览器选项卡(不是 127.0.0.1:8050),然后等几秒钟。
JupyterDash(笔记本中 运行 Dash 的官方库)现在支持 Colab 上的 运行 应用程序。
您可以将此代码粘贴到 colab notebook 中,您的应用将内联显示:
!pip install jupyter-dash
import plotly.express as px
from jupyter_dash import JupyterDash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
# Load Data
df = px.data.tips()
# Build App
app = JupyterDash(__name__)
app.layout = html.Div([
html.H1("JupyterDash Demo"),
dcc.Graph(id='graph'),
html.Label([
"colorscale",
dcc.Dropdown(
id='colorscale-dropdown', clearable=False,
value='plasma', options=[
{'label': c, 'value': c}
for c in px.colors.named_colorscales()
])
]),
])
# Define callback to update graph
@app.callback(
Output('graph', 'figure'),
[Input("colorscale-dropdown", "value")]
)
def update_figure(colorscale):
return px.scatter(
df, x="total_bill", y="tip", color="size",
color_continuous_scale=colorscale,
render_mode="webgl", title="Tips"
)
# Run app and display result inline in the notebook
app.run_server(mode='inline')
Here's a GIF of what the output looks like. You can also check out this Colab notebook.
这里有一些更有用的链接:
谢谢。伙计们,如果 xhlulu 的建议不符合预期 运行 你可以像这样编辑最后一行:
app.run_server(mode='inline',host="0.0.0.0",port=1005)
我不久前创建了一个 video tutorial 来展示如何在 Google Colab 中共享您的 Dash 应用程序。前5分钟。
如何启动 Dash 应用程序 (http://dash.plot.ly) from Google Colab (https://colab.research.google.com)?
据我所知,目前没有直接的方法可以做到这一点。
在下面找到类似于设置 Tensorboard (https://www.dlology.com/blog/quick-guide-to-run-tensorboard-in-google-colab/) 的解决方法。
从设置此解决方法所需的所有内容的代码单元开始:
# How to run a Dash app in Google Colab
## Requirements
### Install ngrok
!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip
!unzip ngrok-stable-linux-amd64.zip
### Run ngrok to tunnel Dash app port 8050 to the outside world.
### This command runs in the background.
get_ipython().system_raw('./ngrok http 8050 &')
### Get the public URL where you can access the Dash app. Copy this URL.
! curl -s http://localhost:4040/api/tunnels | python3 -c \
"import sys, json; print(json.load(sys.stdin)['tunnels'][0]['public_url'])"
### Install Dash
!pip install dash==0.31.1 # The core dash backend
!pip install dash-html-components==0.13.2 # HTML components
!pip install dash-core-components==0.39.0 # Supercharged components
!pip install dash-table==3.1.7 # Interactive DataTable component (new!)
为您的 Dash 应用添加另一个代码单元:
## Dash app (https://dash.plot.ly/getting-started)
### Save file with Dash app on the Google Colab machine
%%writefile my_app1.py
import dash
import dash_core_components as dcc
import dash_html_components as html
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div(children=[
html.H1(children='Hello Dash'),
html.Div(children='''
Dash: A web application framework for Python.
'''),
dcc.Graph(
id='example-graph',
figure={
'data': [
{'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'SF'},
{'x': [1, 2, 3], 'y': [2, 4, 5], 'type': 'bar', 'name': u'Montréal'},
],
'layout': {
'title': 'Dash Data Visualization'
}
}
)
])
if __name__ == '__main__':
app.run_server(debug=True)
在最后一个代码单元格中,您可以启动您的 Dash 应用程序(此单元格将很忙,直到您停止执行并因此停止您的 Dash 应用程序)。
### Run Dash app
!python my_app1.py
要访问 Dash 应用程序,请将上面的 ngrok.io-URL 复制并粘贴到新的浏览器选项卡(不是 127.0.0.1:8050),然后等几秒钟。
JupyterDash(笔记本中 运行 Dash 的官方库)现在支持 Colab 上的 运行 应用程序。
您可以将此代码粘贴到 colab notebook 中,您的应用将内联显示:
!pip install jupyter-dash
import plotly.express as px
from jupyter_dash import JupyterDash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
# Load Data
df = px.data.tips()
# Build App
app = JupyterDash(__name__)
app.layout = html.Div([
html.H1("JupyterDash Demo"),
dcc.Graph(id='graph'),
html.Label([
"colorscale",
dcc.Dropdown(
id='colorscale-dropdown', clearable=False,
value='plasma', options=[
{'label': c, 'value': c}
for c in px.colors.named_colorscales()
])
]),
])
# Define callback to update graph
@app.callback(
Output('graph', 'figure'),
[Input("colorscale-dropdown", "value")]
)
def update_figure(colorscale):
return px.scatter(
df, x="total_bill", y="tip", color="size",
color_continuous_scale=colorscale,
render_mode="webgl", title="Tips"
)
# Run app and display result inline in the notebook
app.run_server(mode='inline')
Here's a GIF of what the output looks like. You can also check out this Colab notebook.
这里有一些更有用的链接:
谢谢。伙计们,如果 xhlulu 的建议不符合预期 运行 你可以像这样编辑最后一行:
app.run_server(mode='inline',host="0.0.0.0",port=1005)
我不久前创建了一个 video tutorial 来展示如何在 Google Colab 中共享您的 Dash 应用程序。前5分钟。