[Basic Question] How do I display a subset of the dataset depending on the value of a checkbox

Dash Python
1

I have some code which graphs a dataset which contains columns for x, y, and another column for type of fruit. I have added in a checklist apples and grapes. What I want to do now is have the graph display the values of x and y for grapes if the grapes checkbox is ticked, apples if the apples checkbox is ticked, and both if both are ticked.

Would someone be able to help me? This is a really simple question I know.

I know I need to change the ‘def … return’ part.

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

app = dash.Dash()

fruits = {'Day':[1,2,3,4,5,6],
             'Visitors':[43,34,65,56,29,76],
             'Bounce_Rate':[65,67,78,65,45,52],
             'Nice_Fruits':['apple', 'apple', 'grape', 'apple', 'grape', 'grape']}
df_all_fruits = pd.DataFrame(fruits)

Nice_Fruits_list=df_all_fruits['Nice_Fruits'].unique()

app.layout = html.Div(children=[
html.H1('Payment Curve and predictor'),

 html.Label('fruits_1'),
    dcc.Checklist(
	id='fruits_checklist',
	options=[{'label': i, 'value': i} for i in Nice_Fruits_list],
        values=['apple', 'grape'],
	labelStyle={'display': 'inline-block'}
    ),

 dcc.Graph(
        id='fruits_graph',
        figure={
            'data': [
                go.Scatter(
                    x=df_all_fruits['Visitors'],
                    y=df_all_fruits['Bounce_Rate'],
                    mode='markers',
                    opacity=0.7,
                    marker={
                        'size': 15,
                        'line': {'width': 0.5, 'color': 'white'}
                    },
                )
            ],
            'layout': go.Layout(             
		xaxis={'type': 'linear', 'title': 'Visitors'},
                yaxis={'title': 'Bounce_Rate'},
                margin={'l': 40, 'b': 40, 't': 10, 'r': 10},
                hovermode='closest'
            )
        }
    ),

])

@app.callback(
    Output('fruits_graph', 'figure'),
    [Input('fruits_checklist', 'values')]
)


   def update_graph(fruits_checklist_value):
    df = df_all_fruits[df_all_fruits.Nice_Fruits.isin([fruits_checklist_value])]

    return {
        'data': [go.Scatter(
            x= df['Visitors'],
            y= df['Bounce_Rate'],
 	    mode='markers',
            marker={
                'size': 15,
                'opacity': 0.5,
                'line': {'width': 0.5, 'color': 'white'}
            }
        )],
        'layout': {'margin': {'l': 40, 'r': 0, 't': 20, 'b': 30}}
    }

app.css.append_css({'external_url': 'https://codepen.io/chriddyp/pen/bWLwgP.css'})

if __name__ == '__main__':
    app.run_server()
2

Answer is here: https://stackoverflow.com/questions/52296964/in-a-dashboard-graph-a-subset-of-the-dataset-depending-on-the-value-of-a-checkb