Hi Adam! Thank you for the link; I will try out this implementation and see if it suits my needs better, but I was actually able to find another way to append a row to a datatable. Below is an example for anyone who may find it helpful.
# Layout
columns = [
{'id': 'value1', 'name': 'Column 1'},
{'id': 'value2', 'name': 'Column 2'},
{'id': 'value3', 'name': 'Column 3'},
],
data=[]
#Callback
@app.callback(
Output('table', 'data'),
[Input('add-row-button', 'n_clicks')],
[State('table', 'data'),
State('table', 'columns')]
)
def add_row(n_clicks, rows, columns):
data = {'value1':my_var1, 'value2':my_var2, 'value3':my_var3}
rows.append({c['id'] = data[c['id']] for c in columns})
# Note: You can also create a pandas dataframe from the datatable with this:
df = pd.DataFrame(rows, columns=[c['id'] for c in columns])
return rows
@adamschroeder It’s great to see you on the forum; your videos have been extremely helpful! I’ll definitely be reading your book soon too.
And I hate to bother you with this here, but just off the top of your head, would you happen to know of a way to download a Dash page as an html? No worries if not. I asked this question a little while ago but am still unsure.
Thank you again for all of your help with Plotly Dash!