Refresh Sheet Data Periodically

Change the data that is displayed in your spreadsheet.


If the data you are displaying in the spreadsheet changes over time, you can update what is displayed in the sheet. Simply write to the data parameter of the Mito spreadsheet.

Valid types for data

The data parameter should be a list of dicts with strings as keys and values of type string, number, or boolean. For example, valid data might be:

# Passing the data
    {'Column 1': 1, 'Column 2': 4}, 
    {'Column 1': 2, 'Column 2': 5}, 
    {'Column 1': 3, 'Column 2': 6}
# Results in Mito displaying the dataframe
df = pd.DataFrame({'Column 1': [1, 2, 3], 'Column 2': [4, 5, 6]})

You can go from Pandas dataframe to data format with the following code:

df = pd.DataFrame({'Column 1': [1, 2, 3], 'Column 2': [4, 5, 6]})

df.to_dict('records') # Returns data in the correct format.

Note that Mito aims to accept the same data input as the Dash Data Table.


Change the data in the Mito spreadsheet on a time interval

from dash import Dash, callback, Input, Output, html, dcc
from mitosheet.mito_dash.v1 import Spreadsheet, mito_callback, activate_mito
import pandas as pd

app = Dash(__name__)

app.layout = html.Div([
    html.H1("Data Changer", style={'color': 'white'}),
    dcc.Interval(id='interval1', interval=5 * 1000, n_intervals=0),
    Spreadsheet(id={'type': 'spreadsheet', 'id': 'sheet'}),

    Output({'type': 'spreadsheet', 'id': 'sheet'}, 'data'),
    Input('interval1', 'n_intervals')
def update_spreadsheet_data(n_intervals):
    # Get new df data here
    df = pd.DataFrame({'First Data': [1, 2, 3], 'Second Data': [4, 5, 6]})
    return df.to_dict('records')

if __name__ == '__main__':

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