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)

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)