I am new to plotly dash. I want to draw a table whose values (Rows) will automatically be updated after certain interval of time but i do not know how to use dash table experiments. The table is already saved as CSV file but i am somehow unable make it live.
Please help!
Can some one guide me in the right direction what should i do Your help will be highly appreciated. Following is the code.
import dash
import pandas as pd
from pandas import Series, DataFrame
from dash.dependencies import Input, Output, Event
import dash_core_components as dcc
import dash_html_components as html
import dash_table_experiments as dtable
app=dash.Dash()
def TP_Sort():
address = 'E:/Dats Science/POWER BI LAB DATA/PS CORE KPIS/Excel Sheets/Throughput.xlsx'
TP = pd.read_excel(address)
TP1=TP.head()
Current_Interval.to_csv('TP1.csv', index=False)
return app.layout = html.Div([
html.H1('Data Throughput Dashboard-NOC NPM Core'),
dcc.Interval(id='graph-update',interval=240000),
dtable.DataTable(id='my-table',
rows=[{}],
row_selectable=False,
filterable=True,
sortable=False,
editable=False)
])
@app.callback(
dash.dependencies.Output('my-table','row_update'),
events=[dash.dependencies.Event('graph-update', 'interval')])
def update_table(maxrows=4):
TP_Sort()
TP_Table1='C:/Users/ Scripts/TP1.csv'
TP_Table2=pd.read_csv(TP_Table1)
return TP_Table2.to_dict('records')
if __name__ == '__main__':
app.run_server(debug=False)
I am trying the above approach. Please correct me where i am wrong as the output is error loading dependencies.
BR Rana
1 Answer
Your callback is wrong.
It should be:
@app.callback(Output('my-table', 'rows'), [Input('graph-update', 'n_intervals')])
def update_table(n, maxrows=4):
# We're now in interval *n*
# Your code
return TP_Table2.to_dict('records')
