Strip Plot Examples

This example demonstrates strip plot functionality in PubliPlots, which shows individual data points with optional jitter.

import publiplots as pp
import pandas as pd
import numpy as np

Simple Strip Plot

Basic strip plot showing individual data points.

# Create sample data
np.random.seed(42)
n = 120
strip_data = pd.DataFrame({
    'category': np.repeat(['A', 'B', 'C'], n // 3),
    'value': np.concatenate([
        np.random.normal(10, 2, n // 3),
        np.random.normal(15, 3, n // 3),
        np.random.normal(12, 2.5, n // 3)
    ])
})

# Create simple strip plot
ax = pp.stripplot(
    data=strip_data,
    x='category',
    y='value',
    title='Simple Strip Plot',
    xlabel='Category',
    ylabel='Value',
)
pp.show()

Strip Plot with Jitter

Use jitter to spread points horizontally.

# Create strip plot with jitter
ax = pp.stripplot(
    data=strip_data,
    x='category',
    y='value',
    jitter=0.2,
    title='Strip Plot with Jitter',
    xlabel='Category',
    ylabel='Value',
)
pp.show()

Strip Plot with Hue Grouping

Use the hue parameter to color points by group.

# Add group variable
strip_data['group'] = np.tile(['Group 1', 'Group 2'], n // 2)

# Create strip plot with hue
ax = pp.stripplot(
    data=strip_data,
    x='category',
    y='value',
    hue='group',
    title='Strip Plot with Hue',
    xlabel='Category',
    ylabel='Value',
    palette={'Group 1': '#8E8EC1', 'Group 2': '#75B375'},
)
pp.show()

Dodged Strip Plot

Separate points by hue along the categorical axis.

# Create dodged strip plot
ax = pp.stripplot(
    data=strip_data,
    x='category',
    y='value',
    hue='group',
    dodge=True,
    title='Dodged Strip Plot',
    xlabel='Category',
    ylabel='Value',
)
pp.show()

Horizontal Strip Plot

Create horizontal strip plot by swapping x and y.

# Create horizontal strip plot
ax = pp.stripplot(
    data=strip_data,
    x='value',
    y='category',
    title='Horizontal Strip Plot',
    xlabel='Value',
    ylabel='Category',
)
pp.show()