Dash Upload data Update graph with callback - Cannot read property 'data' of null

@lazycat22 wrote:

I’m new to Dash and trying to create a dashboard with upload data function and graph update with callbacks. However I got this error of “Cannot read property ‘data’ of null” when loading the page even before uploading any data. After many hours I still could not figure it out. Did I write anything wrong or miss anything important?

Any help would be much appreciated!

import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import pandas as pd
import base64
import io

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

colors = {
    "graphBackground": "#F5F5F5",
    "background": "#ffffff",
    "text": "#000000"
}

app.layout = html.Div([
          # adding a header and a paragraph
                html.Div([
                    html.H1("Automatic Insight Generator"),
                    html.P("Project")
                         ],
                    style = {'padding' : '25px' ,
                             'backgroundColor' : '#3aaab2'}),
        # adding a upload object
               html.Div([
                   dcc.Upload(
                            id='upload_data',
                            children=html.Div([
                                 'Drag and Drop or ',
                                 html.A('Select Files')
                            ]),
                            style={
                                 'width': '100%',
                                 'height': '60px',
                                 'lineHeight': '60px',
                                 'borderWidth': '1px',
                                 'borderStyle': 'dashed',
                                 'borderRadius': '5px',
                                 'textAlign': 'center',
                                 'margin': '10px'
                            }
                    )
             ], style={'width':'100%','display': 'flex','align-items':'center','justify-content':'center'}
         ),
         # adding a graph object
             dcc.Graph(id='mygraph'),
        # adding an insight object
             html.Div([
                  html.Pre(
                        id='insight',
                        children='Insights from data:'
                        )
         ],
           style={
                'fontSize':20,
                'color':'blue'
            }
        )

])

def process_content(contents):
    type,data  = contents.split(',')
    decoded = base64.b64decode(data)

    df = pd.read_csv(
        io.StringIO(decoded.decode('utf-8')))

    return df

@app.callback(
            Output('mygraph','figure'),
            [Input('upload_data','contents')]
)
def update_text(contents):
    if contents is not None:
        df = process_content(contents)

        traces = []
        for source_name in df['source'].unique():
            df_by_source = df[df['source'] == source_name]
            traces.append(go.Scatter(
                    x=df_by_source['month'],
                    y=df_by_source['net_sentiment'],
                    text=df_by_source['net_sentiment'],
                    mode='lines+markers',
                    opacity=0.7,
                    marker={'size': 15},
                    name=source_name
                    ))

        return {
                'data': traces,
                'layout': go.Layout(
                    xaxis={'title': 'Time of the Year'},
                    yaxis={'title': 'Net Sentiment Count'},
                    hovermode='closest',
                    plot_bgcolor=colors["graphBackground"],
                    paper_bgcolor=colors["graphBackground"]
                      )
                }

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

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