So, I have been excited by the continued improvement of Data Tables, but despite looking through many threads around here as well as guides, I can’t figure out the proper way to simply import a pandas dataframe into a data table.
Most examples illustrate how to manually pick certain columns/rows taken from a dataframe that is hardcoded within the example, and display that, but I have a dataframe that needs to be created via a callback, which will then be sent to
How can I make this work? Using the references, I’ve tried the following code to send a dict of my dataframe, but nothing displays.
## Imports import dash import dash_core_components as dcc import dash_html_components as html import dash_table from dash.dependencies import Input, Output, State import datetime as dt import pandas as pd import numpy as np from twitter_functions import id_extractor, old_tweets, continuous_stream app = dash.Dash(dev_tools_hot_reload=True) app.scripts.config.serve_locally = True app.config['suppress_callback_exceptions'] = True app.layout = html.Div(children=[ html.H3('Twitter App'), dcc.Input('ScreenName_Input', type='text'), html.Button(id='screenNames_submit_button', children='Submit'), dash_table.DataTable(id='tweet_table') ]) @app.callback( Output(component_id='tweet_table', component_property='data'), [Input(component_id='screenNames_submit_button', component_property='n_clicks_timestamp')], [State(component_id='ScreenName_Input', component_property='value')] ) def display_tweets(submit_button, screen_names): tweets = old_tweets(screen_names) return tweets.to_dict(orient='records') if __name__ == '__main__': app.run_server(debug=True)
How can I do this?