dash_simple_example_pandas_datareader.py

# See official docs at https://dash.plotly.com
# pip install dash pandas

from dash import Dash, dcc, html, Input, Output
import plotly.express as px

import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv')

app = Dash(__name__)

app.layout = html.Div([
    dcc.Graph(id='graph-with-slider'),
    dcc.Slider(
        df['year'].min(),
        df['year'].max(),
        step=None,
        value=df['year'].min(),
        marks={str(year): str(year) for year in df['year'].unique()},
        id='year-slider'
    )
])


@app.callback(
    Output('graph-with-slider', 'figure'),
    Input('year-slider', 'value'))
def update_figure(selected_year):
    filtered_df = df[df.year == selected_year]

    fig = px.scatter(filtered_df, x="gdpPercap", y="lifeExp",
                     size="pop", color="continent", hover_name="country",
                     log_x=True, size_max=55)

    return fig


if __name__ == '__main__':
    app.run_server(debug=True)

It looks like Google problem, try yaho. Work fine for me
df = web.DataReader(
selected_dropdown_value,
'yahoo',
dt(2017, 1, 1),
dt.now()
)

how to run a dash application can anybody tell me coz i am getting an error while running the code on jupyter i.e. system exit and also tell me from where i can access the app

Not 'google' nor 'yahoo' is currently working, please provide some valid source

you can use quandl instead , ex below 👍

import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html

from pandas_datareader import data as web
from datetime import datetime as dt
import quandl

app = dash.Dash('Hello World')

app.layout = html.Div([
dcc.Dropdown(
id='my-dropdown',
options=[
{'label': 'Poxel', 'value': 'EURONEXT/POXEL'},
{'label': 'Orange', 'value': 'EURONEXT/ORA'},
{'label': 'TechnipFMC', 'value': 'EURONEXT/FTI'}
],
value='Poxel'
),
dcc.Graph(id='my-graph')
], style={'width': '500'})

@app.callback(Output('my-graph', 'figure'), [Input('my-dropdown', 'value')])
def update_graph(selected_dropdown_value):
df = quandl.get(
selected_dropdown_value,
authtoken="your_access_token_after_registering_to_quandl"
)
return {
'data': [{
'x': df.index,
'y': df.Last
}],
'layout': {'margin': {'l': 40, 'r': 0, 't': 20, 'b': 30}}
}

app.css.append_css({'external_url': 'https://codepen.io/chriddyp/pen/bWLwgP.css'})

if name == 'main':
app.run_server()

It works

Installed all dependencies, but I get the following error from my jupyter lab.
Using pipenv with Google Cloud VM & Ubuntu 16.04
Thanks,

UnsupportedOperation Traceback (most recent call last)
in ()
37
38 if name == 'main':
---> 39 app.run_server()

~/.local/share/virtualenvs/simulation-RVBo82bs/lib/python3.6/site-packages/dash/dash.py in run_server(self, port, debug, **flask_run_options)
566 debug=False,
567 **flask_run_options):
--> 568 self.server.run(port=port, debug=debug, **flask_run_options)

~/.local/share/virtualenvs/simulation-RVBo82bs/lib/python3.6/site-packages/flask/app.py in run(self, host, port, debug, load_dotenv, **options)
936 options.setdefault('threaded', True)
937
--> 938 cli.show_server_banner(self.env, self.debug, self.name, False)
939
940 from werkzeug.serving import run_simple

~/.local/share/virtualenvs/simulation-RVBo82bs/lib/python3.6/site-packages/flask/cli.py in show_server_banner(env, debug, app_import_path, eager_loading)
627 message += ' (lazy loading)'
628
--> 629 click.echo(message)
630
631 click.echo(' * Environment: {0}'.format(env))

~/.local/share/virtualenvs/simulation-RVBo82bs/lib/python3.6/site-packages/click/utils.py in echo(message, file, nl, err, color)
257
258 if message:
--> 259 file.write(message)
260 file.flush()
261
UnsupportedOperation: not writable

I'm running the above code using Spyder/Anaconda. When opening local host on port 8050, I only see a White window with "Loading..." on the top. Can anyone please help me?

datasource 'yahoo' works for me currently (Google does not)

I seem to be getting hung up at the decorator and the def update_graph. I get the * Running on http://127.0.0.1:8050/ (Press CTRL+C to quit) and then the program hangs.

Any ideas?

How about if i would like to use a dataset on that sample code?

How about if i would like to use a dataset on that sample code?

HELP PLEASE! I am a student and I trying to create a graph to show volunteer impacts. Nothing fancy. I tried the simple graph and that didn't work, now I have this one and its not working :(

ModuleNotFoundError Traceback (most recent call last)
in
4 import dash_html_components as html
5
----> 6 import pandas.io.data as web
7
8

ModuleNotFoundError: No module named 'pandas.io.data'

how to run a dash application can anybody tell me coz i am getting an error while running the code on jupyter i.e. system exit and also tell me from where i can access the app

use the command prompt in running your code also i dont advise you use jupyter for coding or running dash.
on your command promt just navigate to your file.

ALSO

this worked for me:
just click the file it's going to run as executable

I'm running the above code using Spyder/Anaconda. When opening local host on port 8050, I only see a White window with "cannot connect..." on the top. Can anyone please help me?

Hi, can anyone tell why google isnt working and yahoo is?

Hi, can anyone tell why google isnt working and yahoo is?

apparently google is not available as a data source anymore, but yahoo still is pydata/pandas-datareader#768

Can confirm that as of 2022 google doesn't work but yahoo does.

Hello there,
I just have a quick question. Is there a way to export the resulting report/dashboard as a standalone html file (something with all assets bundled), or does dash require some server-side processing via python? I have seen some efforts to get python running in the browser via webassembly; however, I am not sure if dash already supports this out of the box or not.
I have been using a combination of Rmarkdown/quarto with python and plotly to create dashboard-like reports. The nice thing with Rmarkdown/quarto is that you can export everything as a stand alone html file, which is nice when working with collaborators. Just email them a report, and they can open it with Chrome.

Anyways, please let mw know what you think, and have a great day!

Best Regards,
@skchronicles

Working example:

from dash import Dash, dcc, html, callback
from dash.dependencies import Input, Output
import yfinance as yf

start = '2022-01-01'
end = '2023-01-01'

app = Dash(__name__)

app.layout = html.Div([
dcc.Dropdown(
    id='my-dropdown',
    options=[
        {'label': 'MSFT', 'value': 'MSFT'},
        {'label': 'AAPL', 'value': 'AAPL'},
    ],
    value='MSFT'
),
dcc.Graph(id='my-graph')
], style={'width': '500'})

@callback(Output('my-graph', 'figure'), [Input('my-dropdown', 'value')])
def update_graph(selected_dropdown_value):
    df = yf.download(selected_dropdown_value, start=start, end=end)
    return {
    'data': [{
    'x': df.index,
    'y': df.Close
    }],
    'layout': {'margin': {'l': 40, 'r': 0, 't': 20, 'b': 30}}
    }

app.css.append_css({'external_url': 'https://codepen.io/chriddyp/pen/bWLwgP.css'})

if __name__ == '__main__':
    app.run(debug=True)