Beeswarm Plot

Heart Rate by Exercise Intensity

Athlete heart rate distribution across workout levels

Output
Heart Rate by Exercise Intensity
Python
import numpy as np
import matplotlib.pyplot as plt

np.random.seed(305)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#6CF527', '#F5B027', '#F5276C', '#9C2007']

def simple_beeswarm(y, nbins=None, width=1.):
    y = np.asarray(y)
    if nbins is None:
        nbins = np.ceil(len(y) / 6).astype(int)
    nn, ybins = np.histogram(y, bins=nbins)
    nmax = nn.max()
    x = np.zeros(len(y))
    ibs = []
    for ymin, ymax in zip(ybins[:-1], ybins[1:]):
        i = np.nonzero((y > ymin) * (y <= ymax))[0]
        ibs.append(i)
    dx = width / (nmax // 2) if nmax > 1 else width
    for i in ibs:
        yy = y[i]
        if len(i) > 1:
            j = len(i) % 2
            i = i[np.argsort(yy)]
            a = i[j::2]
            b = i[j+1::2]
            x[a] = (0.5 + j / 3 + np.arange(len(b))) * dx
            x[b] = (0.5 + j / 3 + np.arange(len(b))) * -dx
    return x

intensities = ['Rest', 'Light', 'Moderate', 'High']
data = {
    'Rest': np.random.normal(65, 8, 40),
    'Light': np.random.normal(95, 12, 45),
    'Moderate': np.random.normal(135, 15, 50),
    'High': np.random.normal(170, 12, 42)
}

fig, ax = plt.subplots(figsize=(10, 6), facecolor=BG_COLOR)
ax.set_facecolor(BG_COLOR)

boxplot_data = []
for i, (intensity, values) in enumerate(data.items()):
    x = simple_beeswarm(values, width=0.3)
    ax.scatter(x + i + 1, values, c=COLORS[i], alpha=0.7, s=45, edgecolors='white', linewidth=0.5)
    boxplot_data.append(values)

bp = ax.boxplot(boxplot_data, positions=range(1, len(intensities)+1), widths=0.5, patch_artist=True)
for patch in bp['boxes']:
    patch.set_facecolor('none')
    patch.set_edgecolor('#666')
for element in ['whiskers', 'caps', 'medians']:
    for item in bp[element]:
        item.set_color('#666')

ax.set_xticks(range(1, len(intensities)+1))
ax.set_xticklabels(intensities, color=TEXT_COLOR)
ax.set_xlabel('Exercise Intensity', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Heart Rate (BPM)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Heart Rate by Exercise Level', fontsize=14, color=TEXT_COLOR, fontweight='bold', pad=15)

ax.tick_params(colors='#888', labelsize=10)
for spine in ax.spines.values():
    spine.set_color('#333')

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Statistical

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