# Graph New Data after Edits to Mito

## Motivation

1. A user is filtering a dataset using a Mito sheet.
2. You want to update a graph of this data elsewhere in your dashboard.

## How to:

Simply use the `@mito_callback`  to watch for changes on the `spreadsheet_result` prop, and then graph the resulting dataframe.

<pre class="language-python"><code class="lang-python">from dash import Dash, html, dcc, Output, Input
<strong>from dash.exceptions import PreventUpdate
</strong>import plotly.express as px
import pandas as pd

from mitosheet.mito_dash.v1 import Spreadsheet, mito_callback, activate_mito

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

app = Dash(__name__)
activate_mito(app)

app.layout = html.Div([
    Spreadsheet(df, id={'type': 'spreadsheet', 'id': 'sheet'}),
    dcc.Graph(id='graph-content'),
])

@mito_callback(
    Output('graph-content', 'figure'),
    Input({'type': 'spreadsheet', 'id': 'sheet'}, 'spreadsheet_result')
)
def update_code(spreadsheet_result):
    if spreadsheet_result is None:
        raise PreventUpdate

    # Get the current value of the original dataframe
    dff = spreadsheet_result.dfs()[0]
    
    # Requires that the user doesn't delete the year, lifeExp, or continent column
    return px.line(dff, x='year', y='lifeExp', color='continent')

if __name__ == '__main__':
    app.run(debug=True)
</code></pre>

Now, if the user filters the original data in any way, the new data will be displayed on the page.


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