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Updating a plot title

The e-commerce company you have been working with has a new challenge for you.

They are interested in providing a way to make a plot customized to the end user. That is, the title of the plot should be configurable so the end user feels it is personalize to them.

This sounds like a job for a user-input component!

Help the e-commerce company enhance their Dash app by taking text user input to update the plot title.

This exercise is part of the course

Building Dashboards with Dash and Plotly

View Course

Exercise instructions

~- Add a text input component called dcc.Input with identifier add_user_name below line 33.

  • Set the debounce parameter so the callback is triggered when the user presses 'Enter' below line 36.
  • Set the required parameter so users are not required to use this input for the graph to render below line 38.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

from dash import Dash, dcc, html, Input, Output, callback
import plotly.express as px
import pandas as pd
from datetime import datetime, date
ecom_sales = pd.read_csv('/usr/local/share/datasets/ecom_sales.csv')
logo_link = 'https://assets.datacamp.com/production/repositories/5893/datasets/fdbe0accd2581a0c505dab4b29ebb66cf72a1803/e-comlogo.png'

def make_break(num_breaks):
    br_list = [html.Br()] * num_breaks
    return br_list

def add_logo():
    corp_logo = html.Img(
        src=logo_link, 
        style={'width':'75px','margin':'20px 20px 5px 5px','border':'1px dashed lightblue','display':'inline-block'})
    return corp_logo

def style_c():
    layout_style={'display':'inline-block','margin':'0 auto','padding':'20px'}
    return layout_style
  
app = Dash()

app.layout = [
  add_logo(),
  *make_break(2),
  html.H1('Sales Dashboard'),
  *make_break(3),         
  html.Div([
    html.H2('Controls', style=style_c()),
    html.H3('Customize plot title'),
    *make_break(2),
    # Add a text input
    dcc.____(id='add_user_name', type='____', 
      placeholder='Enter your name',
      # Ensure input is triggered with 'Enter'
      ____=____,
      # Ensure the plot can load without a selection
      ____=____,
      style={'width':'200px', 'height':'30px'})],
    style={'width':'350px', 'height':'350px', 'vertical-align':'top', 'border':'1px solid black',
           'display':'inline-block', 'margin':'0px 80px'}),
  html.Div([
    dcc.Graph(id='sales_plot'),
    html.H2('Sales Quantity by Country', style={ 'border':'2px solid black', 'width':'400px', 'margin':'0 auto'})],
    style={'width':'500px','display':'inline-block'})       
]

@callback(
    Output(component_id='sales_plot', component_property='figure'),
    Input(component_id='add_user_name', component_property='value')
)
def update_plot(entered_name):
    title_value = 'No Name Entered'
    sales = ecom_sales.copy(deep=True)
    if entered_name:
      title_value = entered_name
    fig = px.scatter(data_frame=sales, 
                    y='OrderValue', x='Quantity', color='Country',title=f'Plot generated for: {title_value}')
    return fig

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