I’m looking to take an editable input DataFrame, use it as input to a @callback function that generates a new DataFrame (via groupby), display the second DataFrame, and plot some bar graphs from the second DataFrame. Does anyone have any good examples of this? I keep running into the “Error loading dependencies”, which I presume is a euphemism for novice user error.
I think a partial solution is adding an empty rows object in the generated DataFrame, as suggested by HansG in the other post: Display tables in Dash
I just posted an example of a table generated by a callback here: Dash DataTable - Updating the Number of Rows
Did you ever find a solution of how to take an editable input DataFrame, use it as input to a @callback function that generates a new DataFrame (via groupby), display the second DataFrame?
I think I pieced something together from the various examples in the forum. However, my code is currently defunct because it uses the old Tabs functionality and I need to port to the new version of Tabs.
How did you get it to work? What i am looking to do by clicking a button:
- Send a datatable’s rows to a new pandas dataframe, then
- Run some analytics on that pandas dataframe by calling a function, returning a new pandas dataframe (results_df), then
- Create a new datatable from results_df from step 2.
After uploading raw data and creating the input datatable below, how do i do steps 1-3 above? Any guidance would be much appreciated.
dt.DataTable( id='input datatable', rows=model_input_df.to_dict('records'), row_selectable=True, filterable=True, sortable=True, )
Did anyone ever find a solution for this?
I’m currently trying to do this as well. I have a callback that currently generates a DataTable, and I need to allow a user to select one row, click some button (or the row itself, doesn’t matter), and for that to generate a new DataTable.
For additional context, the row would get converted to a dataframe used to generate a SQL query, and that would then pull a fresh set of data to feed into the new table.
Any help would be appreciated!