Jupyter Notebook/Lab

Jupyter Notebook/Lab⚑

Jupyter Notebook/Lab is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. It can be used for R and for Python, among others.

Tips⚑

Matplotlib⚑

Adjust default plot size⚑

Try running %matplotlib notebook after the imports.

Extensions⚑

jupyter-server-proxy⚑

Jupyter Server Proxy lets you run arbitrary external processes (such as RStudio, Shiny Server, syncthing, PostgreSQL, etc) alongside your notebook, and provide authenticated web access to them.

Once installed, you'll be able to access arbitrary hosts and ports at <notebook-base>/proxy/<host>:<port>.

Installation⚑

First, install the required server extension

jupyter serverextension enable --sys-prefix jupyter_server_proxy

then, install the Python package

pip install jupyter-server-proxy

and you're ready to go.

Libraries⚑

jupyter-dash⚑

plotly/jupyter-dash is a library that makes it easy to develop Plotly Dash apps interactively from within Jupyter environments.

Installation⚑

pip install jupyter-dash

Usage⚑

In a Jupyter Notebook, run this example application

import plotly.express as px
from jupyter_dash import JupyterDash
JupyterDash.infer_jupyter_proxy_config()
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')

JupyterDash.infer_jupyter_proxy_config() is needed if the Jupyter server is not accessible directly, and needs the jupyter-server-proxy extension to be installed.

ipynb⚑

ipython/ipynb is a package/module importer for importing code from Jupyter Notebook files (.ipynb).

Usage⚑

To import a Notebook (notebook1) that is in the same directory as the current one:

import ipynb.fs  # Boilerplate required

## Do a full import
from .full.notebook1 import foo

## Do a definitions-only import
from .defs.notebook1 import bar