Integrate with Plotly for Comparison
Description:
A Python program that uses Plotly to compare sales of multiple products with interactive visualizations.
Code Explanation:
● Install Plotly using pip install plotly before running the code.
● plotly.graph_objs is used to define the visual elements like lines and markers.
● pd.DataFrame(data) creates a structured dataset with sales over time.
● go.Scatter() is used to create interactive line+marker plots for each product.
● go.Figure() combines multiple plots into one interactive chart.
● update_layout() adds titles, axis labels, and hover options.
● plot(fig) renders the chart in your browser with full interactivity.
Program:
import pandas as pd
import plotly.graph_objs as go
from plotly.offline import plot
# Sample data
data = {
'Date': ['2025-01-01', '2025-01-02', '2025-01-03', '2025-01-04'],
'Laptop': [1500, 1600, 1700, 1800],
'Tablet': [1200, 1100, 1300, 1250]
}
df = pd.DataFrame(data)
# Convert 'Date' to datetime
df['Date'] = pd.to_datetime(df['Date'])
# Create traces for each product
trace1 = go.Scatter(x=df['Date'], y=df['Laptop'], mode='lines+markers', name='Laptop')
trace2 = go.Scatter(x=df['Date'], y=df['Tablet'], mode='lines+markers', name='Tablet')
# Combine the traces into a figure
fig = go.Figure(data=[trace1, trace2])
# Customize layout
fig.update_layout(
title='Interactive Comparison of Product Sales',
xaxis_title='Date',
yaxis_title='Sales',
template='plotly',
hovermode='x unified'
)
# Show the interactive plot
plot(fig)
Output:
