How can I create interactive visualizations in Python?

How can I create interactive visualizations in Python?

You can use libraries like Plotly, Bokeh, or Dash to create interactive visualizations in Python. Do you have a specific library in mind?

I’ve heard about Plotly. Can you give me an example?

Sure! With Plotly, you can create a simple interactive scatter plot using the following code:

import plotly.express as px
import pandas as pd

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

# Create scatter plot
fig = px.scatter(df, x='x', y='y', text='label')
fig.show()

What if I want to add more features like tooltips?

You can easily add tooltips in Plotly by using the hover_data parameter. Here's how you can modify the previous example:

fig = px.scatter(df, x='x', y='y', text='label', hover_data=['label'])
fig.show()
``` This will display the label when you hover over the points.

Thanks! Are there any resources for learning more about these libraries?

Yes! The official documentation for Plotly, Bokeh, and Dash are great places to start. You can also find tutorials on platforms like YouTube and Medium.