Added scatter plot
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4f5381bf41
commit
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@ -644,3 +644,15 @@ a {
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#average_gauge{
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flex-grow: 1;
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}
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#tab-1, #tab-2{
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background-color: #1E1E1E;
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color: #fff;
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border-left: none;
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border-right: none;
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border-bottom: none;
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}
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.tab--selected{
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background-color: #111111 !important;
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}
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13
finance.py
13
finance.py
@ -140,7 +140,14 @@ app.layout = html.Div(
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]),
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html.Div(className='eight columns div-for-charts bg-grey',
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children=[
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dcc.Tabs(id='tabs', value='tab-1', children=[
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dcc.Tab(id='tab-1', label='Chart 1', value='tab-1', children=[
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dcc.Graph(id='timeseries', config={'displayModeBar': False}, animate=True),
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]),
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dcc.Tab(id='tab-2', label='Chart 2', value='tab-2',children=[
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dcc.Graph(id='price-dividends', config={'displayModeBar': False}, animate=True),
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]),
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]),
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dash_table.DataTable(
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id='stock_price_table',
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style_header={'backgroundColor': 'rgb(30, 30, 30)'},
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@ -239,6 +246,12 @@ def change_time_period(selectedData):
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volatility_gauge = make_gauge('wolatylność', 0, std['Close'], 400)
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return average_gauge, volatility_gauge, stock_info_in_time_period_df.T.to_dict('records')
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@app.callback(Output('price-dividends', 'figure'),
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[Input('table_selector', 'value')])
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def update_point_chart(selected_dropdown_value):
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selected_stock_in_table_df = fullTableDf.xs(selected_dropdown_value, axis=1, level=1)
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figure = px.scatter(selected_stock_in_table_df, x='Volume', y='Dividends', template='plotly_dark')
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return figure
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if __name__ == '__main__':
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app.run_server(debug=True)
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