How can I create interactive visualizations in Jupyter?

How can I create interactive visualizations in Jupyter?

You can use libraries like Plotly or Bokeh to create interactive visualizations in Jupyter notebooks. Would you like a code example?

Yes, please provide a code example using Plotly.

Sure! Here's a simple example:

import plotly.express as px
import pandas as pd

# Sample data
df = pd.DataFrame({
    'Fruit': ['Apples', 'Oranges', 'Bananas'],
    'Amount': [10, 15, 7]
})

# Create a bar chart
fig = px.bar(df, x='Fruit', y='Amount', title='Fruit Amounts')
fig.show()

This will create an interactive bar chart in your Jupyter notebook.

That looks great! Can I customize the colors of the bars?

Absolutely! You can customize the colors by using the color parameter in the px.bar() function. For example:

fig = px.bar(df, x='Fruit', y='Amount', color='Fruit', color_discrete_sequence=['red', 'orange', 'yellow'])

This will set the colors of the bars to red, orange, and yellow.