Py.Cafe
Tesla Stock Analysis with Dash and Mitosheet
- app.py
- requirements.txt
app.py
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from dash import Dash, callback, Input, Output, html, dcc
from mitosheet.mito_dash.v1 import Spreadsheet, mito_callback, activate_mito
app = Dash(__name__)
activate_mito(app)
CSV_URL = 'https://raw.githubusercontent.com/plotly/datasets/master/tesla-stock-price.csv'
app.layout = html.Div([
html.H1("Stock Analysis"),
Spreadsheet(CSV_URL, id={'type': 'spreadsheet', 'id': 'sheet'}),
html.Div(id='output')
])
if __name__ == '__main__':
app.run_server(debug=True)requirements.txt
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dash mitosheet y-py==0.6.2 # mock argon2-cffi-bindings==21.2.0 # mock psutil==5.9.8 # mock pyzmq==26.0.3 # mock sqlite3