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@chriddyp
Last active October 9, 2024 00:00
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# 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)
@rohansb
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rohansb commented Jun 22, 2017

found that this example works only after following dependencies are installed:
pip install plotly==2.0.11 pip install dash==0.17.5 pip install dash_renderer pip install dash_html_components pip install pandas_datareader

@chriddyp
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Author

chriddyp commented Jun 26, 2017

For more about how this example works and how to install the necessary dependencies, please see the official dash user guide at https://dash.plotly.com. Thank you!

@PierreBourgault
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PierreBourgault commented Jul 8, 2017

The user guide instructions for the installation at https://plot.ly/dash is very specific about which version of each library to install. Do you know if we could just install those libraries without specifying the version?

@jkhosla
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jkhosla commented Aug 4, 2017

@PierreBourgault You could install without version numbers - it works for the current setup . But may fail in the future.

@lassebv
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lassebv commented Nov 30, 2017

Am I the only that gets an error like this when running the example? The error seems to be from fetching the data to plot.
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf8 in position 359: invalid start byte`

@cosmik2002
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It looks like Google problem, try yaho. Work fine for me
df = web.DataReader(
selected_dropdown_value,
'yahoo',
dt(2017, 1, 1),
dt.now()
)

@sanbelief
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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

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

@doursand
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doursand commented Apr 1, 2018

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()

@JiaWenShiboy
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It works

@yelled1
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yelled1 commented Jul 26, 2018

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

@nahal626
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nahal626 commented Oct 4, 2018

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?

@mstorry
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mstorry commented Nov 1, 2018

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

@PeterKoppelman
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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?

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

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

@aboucher410
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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'

@egenius01
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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

@sunnyliu33
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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?

@msa9493
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msa9493 commented Mar 11, 2020

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

@zormit
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zormit commented Sep 5, 2020

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

@vhxs
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vhxs commented Mar 11, 2022

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

@skchronicles
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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

@agouliel
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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)

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