Dash Datatable, refresh by callback and interval

📊 Plotly Python
1

I am really new to python and dashboard. I am trying to update table from @Callback. So the table will be refresfed every 40 seconds. The data of the table are coming from a MySQL table. I am trying to return the whole table but I get the error “Invalid argument columns[0].name passed into DataTable”. I hope someone could help me. I will greatly appreciate that. My code is below:

import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.express as px
import mysql.connector
from dash import Dash, dcc, html, Input, Output, dash_table, no_update
import pandas as pd
import pandas as pd
app = dash.Dash(__name__)

app.layout = html.Div([
            html.Div(id="table1"),
            dcc.Interval(
            id='interval-component',
            interval=40,
            n_intervals=0) ,
                    ])
@app.callback(
    Output('table1','children'),
    Input('interval-component', 'n_intervals'),
    )

def update_output_div(input_value):
    mydb = mysql.connector.connect(
    host="localhost",user="user",password="password",database="database" )
    mycursor = mydb.cursor()
    mycursor.execute("SELECT X1 , X2, X3 FROM Table")
    Db = mycursor.fetchall()
    #Reproduce the table
L0=list(Db[0])
    L0.insert(0,"Y1")
    L0=tuple(L0)
    L1=list(Db[1])
    L1.insert(0,"Y2")
    L1=tuple(L1)
    L2=list(Db[2])
    L2.insert(0,"Y3")
    L2=tuple(L2)
    Data= [L0,L1,L2]
    
df = pd.DataFrame(Data)
    data=df.to_dict('records')
    columns=[{"name": i, "id": i} for i in df.columns]
    return dash_table.DataTable(data=data, columns=columns)

if __name__ == '__main__':
    app.run_server(debug=True,port=8040)