Plotly offline with flask

Question

How can I use plotly offline with flask . I know that plotly can be used offline with Ipython notebook , Can I use Plotly offline with flask ? If not , can someone please sugges

Answer 1

Edit: Updated for current Plotly version

What you want to do is make functions that return the offline "plot" result as a html <div>. To do this, you call the offline.plot() method with the output_type="div" argument. This will return a pure string that you can then put in any flask template, and it will show the graph!

Also, make sure to include the plotly.js library in your static files and link to them in your html pages that show graphs.

This is an example of what I'm saying:

import plotly.graph_object as go
from plotly import io

fig = go.Figure(data=barChart, layout=barLayout)

div = io.to_html.plot(fig, show_link=False, output_type="div", include_plotlyjs=False)

return div

Answer 2

Update

@DarenThomas In my usage, I simply import flask and create routes as usual.

import flask

# ... normal Dash stuff here

@app.server.route('/error.csv')
def serve_error():
    return flask.send_file('error.csv')

=====================================================================

For those looking in the future, this answer can be updated to include the Plotly side-project Dash. It comes out of the box with plotly/flask support and was extremely easy to get existing plotly graphs to show up in a web interface. For example:

import dash
import dash_core_components as dcc
import dash_html_components as html

app = dash.Dash()

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)

See also their tutorial series.