I get the same error - however when I remove the color= option the error 
disappears. Of course, then I don't get the chart that I need. 

On Monday, 5 April 2021 at 22:47:12 UTC+10 geethanj...@gmail.com wrote:

> Hi Guys,
>
> I'm getting an error while executing the code...Please help me if anyone 
> is aware of dash and plotly.
> Thanks in advance.
>
> #code:
> getting error as.. Callback error updating the graph.figure
>
> import pandas as pd
>
> 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
>
> df = pd.read_csv("C:/Users/ganjali001/Documents/DEMO_NEW.csv")
>
> app = dash.Dash(__name__)
>
> #---------------------------------------------------------------
> app.layout = html.Div([
>     html.Div([
>         html.Label(['Payment Details']),
>         dcc.Dropdown(
>             id='my_dropdown',
>             options=[
>                      {'label': 'Commercial', 'value': 'COMMERCIAL'},
>                      {'label': 'Medicare', 'value': 'MEDICARE'},
>                      {'label': 'Medicaid', 'value': 'MEDICAID'},
>                      {'label': 'Self Pay', 'value': 'SELF-PAY'},
>                      {'label': 'Default', 'value': 'DEFAULT'}
>             ],
>             value='SELF-PAY',
>             multi=False,
>             clearable=False,
>             style={"width": "50%"}
>         ),
>     ]),
>
>     html.Div([
>         dcc.Graph(id='the_graph')
>     ]),
>
> ])
>
> #---------------------------------------------------------------
> @app.callback(
>     Output(component_id='the_graph', component_property='figure'),
>     [Input(component_id='my_dropdown', component_property='value')]
> )
>
> def update_graph(my_dropdown):
>     dff = df
>
>     piechart = px.pie(
>         data_frame=dff,
>         values='PaymentAmt',
>         names=my_dropdown,
>         color='FinancialClass',  # differentiate markers (discrete) by color
>         
>         title='Payments by Financial Class',  # figure title
>         template='presentation',  # 'ggplot2', 'seaborn', 'simple_white', 
> 'plotly',
>         
>         width=800,  # figure width in pixels
>         height=600,  # figure height in pixels
>         hole=0,  # represents the hole in middle of pie
>     )
>
>     return (piechart)
>
>
> if __name__ == '__main__':
>     app.run_server(debug=True, port=1200)
>
>
>

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