Styling a Dash app with CSS
It's time to unleash the power of CSS and take your dashboards to the next level. You have been thinking about ways to spruce up the marketing dashboard you created and have a few ideas to demonstrate to the business stakeholders.
Adjusting the size of the graph and logo and adding some nice background colors to various elements would jazz it up!
Diese Übung ist Teil des Kurses
Building Dashboards with Dash and Plotly
Anleitung zur Übung
- Set the logo size to
215pxwide and240pxhigh below line16. - Set the bar graph size to
500pxwide and350pxhigh below line21. - Add a background color of
lightgreyto the copyright notice below line30.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
from dash import Dash, dcc, html
import plotly.express as px
import pandas as pd
ecom_sales = pd.read_csv('/usr/local/share/datasets/ecom_sales.csv')
logo_link = 'https://assets.datacamp.com/production/repositories/5893/datasets/2bac9433b0e904735feefa26ca913fba187c0d55/e_com_logo.png'
ecom_category = ecom_sales.groupby(['Major Category','Minor Category']).size().reset_index(name='Total Orders').sort_values(by='Total Orders', ascending=False).reset_index(drop=True)
top_cat = ecom_category.loc[0]['Minor Category']
ecom_bar = px.bar(ecom_category, x='Total Orders', y='Minor Category', color='Major Category')
ecom_bar.update_layout({'yaxis':{'dtick':1, 'categoryorder':'total ascending'}, 'paper_bgcolor':'rgb(224, 255, 252)'})
app = Dash()
app.layout = [
html.Img(
src=logo_link,
# Set the size of the logo
style={'____':'____', '____':'____'}),
html.H1('Top Sales Categories'),
dcc.Graph(
figure=ecom_bar,
# Set the size of the bar graph
style={'____':'____', '____':'____', 'margin':'auto'}),
html.Br(),
html.Span(children=[
'The top category was: ',
html.B(top_cat),
html.Br(),
html.I(
'Copyright E-Com INC',
# Add a background color to the copyright notice
style={'____':'____'})])
]
if __name__ == '__main__':
app.run(debug=True)