How can I customize plots in Jupyter Notebooks using Plotly?

How can I customize plots in Jupyter Notebooks using Plotly?

You can customize your Plotly plots in Jupyter Notebooks by using various parameters in the Plotly functions. For example, you can change the layout, colors, and add annotations.

Can you show me an example of customizing a scatter plot?

Sure! Here's a simple example:

import plotly.express as px
import pandas as pd

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

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

# Customize the layout
fig.update_traces(marker=dict(size=12, color='LightSkyBlue', line=dict(width=2, color='DarkSlateGrey')))
fig.update_layout(title='Customized Scatter Plot', xaxis_title='X Axis', yaxis_title='Y Axis')

fig.show()

What if I want to change the color of the markers based on a condition?

You can use a conditional statement to set the color of the markers. For example:

# Add a new column for color based on a condition
df['color'] = df['y'].apply(lambda y: 'red' if y > 11 else 'blue')

# Create a scatter plot with conditional colors
fig = px.scatter(df, x='x', y='y', color='color', text='label')
fig.show()