How can I create interactive visualizations using Plotly in Python?

How can I create interactive visualizations using Plotly in Python?

You can create interactive visualizations in Python using the Plotly library by following these steps: 1. Install Plotly using pip. 2. Import the library in your script. 3. Use functions like plotly.express or plotly.graph_objects to create your visualizations. Would you like a code example?

Yes, please provide a code example.

Sure! Here's a simple example of creating an interactive scatter plot:

import plotly.express as px
import pandas as pd

# Sample data
data = {'x': [1, 2, 3, 4, 5], 'y': [10, 11, 12, 13, 14]}
df = pd.DataFrame(data)

# Create scatter plot
fig = px.scatter(df, x='x', y='y', title='Interactive Scatter Plot')
fig.show()

This will create an interactive scatter plot that you can zoom in and out of.

What other types of visualizations can I create with Plotly?

With Plotly, you can create a variety of visualizations including line charts, bar charts, pie charts, heatmaps, and 3D plots. Each type can be customized for interactivity and aesthetics. Would you like to see an example of a specific type?