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Dashboard

JQuery | Slide Left | Slide Right

$(this).hide("slide", { direction: "left" }, 1000);
$(this).show("slide", { direction: "left" }, 1000);

Running Dash and Flask side-by-side

"how can I serve two Flask instances next to each other", assuming you don't end up using one instance as in the above Dash answer, you would use DispatcherMiddleware to mount both applications.

import dash
app = dash.Dash(__name__)
server = app.server

dash_app = Dash(__name__)
flask_app = Flask(__name__)
application = DispatcherMiddleware(flask_app, {'/dash': dash_app.server})
from dash import Dash
from werkzeug.wsgi import DispatcherMiddleware
import flask
from werkzeug.serving import run_simple
import dash_html_components as html

server = flask.Flask(__name__)
dash_app1 = Dash(__name__, server = server, url_base_pathname='/dashboard' )
dash_app2 = Dash(__name__, server = server, url_base_pathname='/reports')
dash_app1.layout = html.Div([html.H1('Hi there, I am app1 for dashboards')])
dash_app2.layout = html.Div([html.H1('Hi there, I am app2 for reports')])
@server.route('/')
@server.route('/hello')
def hello():
    return 'hello world!'

@server.route('/dashboard')
def render_dashboard():
    return flask.redire+ct('/dash1')


@server.route('/reports')
def render_reports():
    return flask.redirect('/dash2')

app = DispatcherMiddleware(server, {
    '/dash1': dash_app1.server,
    '/dash2': dash_app2.server
})

run_simple('0.0.0.0', 8080, app, use_reloader=True, use_debugger=True)
from pandas.io.formats.style import Styler
from IPython.display import HTML
import re

html = Styler(df, uuid_len=0, cell_ids=False)\
      .set_table_styles([{'selector': 'td', 'props': props},
                         {'selector': '.col1', 'props': 'color:green;'},
                         {'selector': '.level0', 'props': 'color:blue;'}])\
      .render()\
      .replace('blank', '')\
      .replace('data', '')\
      .replace('level0', 'l0')\
      .replace('col_heading', '')\
      .replace('row_heading', '')

html = re.sub(r'col[0-9]+', lambda x: x.group().replace('col', 'c'), html)
html = re.sub(r'row[0-9]+', lambda x: x.group().replace('row', 'r'), html)
print(html)
HTML(html)

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Dashboard boilerplate for descriptive statistics

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