How can I create interactive plots in Jupyter Notebook using Plotly?

How can I create interactive plots in Jupyter Notebook using Plotly?

You can create interactive plots in Jupyter Notebook using Plotly by first installing the Plotly library and then using its functions to create visualizations. Would you like a step-by-step guide?

Yes, please provide the steps.

First, install Plotly using pip: !pip install plotly. Then, import it in your notebook with import plotly.express as px. You can create a simple scatter plot using px.scatter(data_frame, x='column_x', y='column_y'). Finally, use fig.show() to display the plot.

Can I customize the plots further?

Absolutely! Plotly allows you to customize colors, labels, and even add titles. You can use parameters like color, title, and labels in your plot functions.

What types of plots can I create with Plotly?

You can create a variety of plots including scatter plots, line charts, bar charts, pie charts, and 3D plots, among others.