Beeswarm Plot

Battery Drain Rate by App Category

Smartphone battery consumption across app types

Output
Battery Drain Rate by App Category
Python
import numpy as np
import matplotlib.pyplot as plt

np.random.seed(310)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#4927F5', '#F54927', '#27F5B0', '#F5D327']

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

categories = ['Social', 'Games', 'Productivity', 'Streaming']
data = {
    'Social': np.random.gamma(3, 3, 50),
    'Games': np.random.gamma(5, 4, 45),
    'Productivity': np.random.gamma(2, 2, 55),
    'Streaming': np.random.gamma(4, 3.5, 48)
}

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

boxplot_data = []
for i, (cat, 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(categories)+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(categories)+1))
ax.set_xticklabels(categories, color=TEXT_COLOR)
ax.set_xlabel('App Category', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Battery Drain (%/hour)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('Battery Consumption by App Type', 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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