downloading table

finance.py

@@ -4,7 +4,7 @@ import dash_core_components as dcc
 import dash_table
 import plotly.express as px
 import yfinance as yf
-from dash.dependencies import Input, Output
+from dash.dependencies import Input, Output, State
 import plotly.graph_objects as go
 import numpy as np
 import pandas as pd
@@ -116,7 +116,10 @@ app.layout = html.Div(
                                                        multi=False, value=selected_stock_in_table,
                                                        style={'backgroundColor': '#1E1E1E'},
                                                        className='stockselector'
-                                                       )
+                                                       ),
+                                        html.Button("Pobierz dane", id="btn_data"), 
+                                        dcc.Download(id="download-data")
+
                                       ],
                                       style={'color': '#1E1E1E'}),
                                   html.P('Wybierz przedział czasu by policzyć średnie i wachania'),
@@ -147,6 +150,14 @@ app.layout = html.Div(
     ]
 )
 
+@app.callback(
+    Output("download-data", "data"),
+    Input("btn_data", "n_clicks"),
+    prevent_initial_call=True,
+)
+def create_download_file(n_clicks):
+    global selected_stock_in_table_df
+    return dcc.send_data_frame(selected_stock_in_table_df.to_csv, "data.csv")
 
 # Callback for timeseries price
 @app.callback(Output('timeseries', 'figure'), [Input('stockselector', 'value')])