What are the different types of visualizations I can create with Plotly in Jupyter Notebook?

What are the different types of visualizations I can create with Plotly in Jupyter Notebook?

You can create a variety of visualizations with Plotly in Jupyter Notebook, including line charts, bar charts, scatter plots, pie charts, and 3D plots.

Can you show me an example of a scatter plot?

Sure! Here's a simple example of a scatter plot using Plotly:

import plotly.express as px
import pandas as pd

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

fig = px.scatter(data, x='x', y='y', title='Simple Scatter Plot')
fig.show()

What about creating a 3D plot?

To create a 3D plot, you can use Plotly's plotly.graph_objects. Here's an example:

import plotly.graph_objects as go

fig = go.Figure(data=[
    go.Scatter3d(
        x=[1, 2, 3],
        y=[4, 5, 6],
        z=[7, 8, 9],
        mode='markers'
    )
])

fig.update_layout(title='3D Scatter Plot')
fig.show()

Can I customize the colors and styles of the plots?

Yes, you can customize colors, styles, and many other aspects of your plots in Plotly. You can set colors using the color parameter and adjust styles with layout options.