Histogram

Histogram with Target

Performance vs target distribution.

Output
Histogram with Target
Python
import matplotlib.pyplot as plt
import numpy as np

COLORS = {'bars': '#374151', 'target': '#DC2626', 'above': '#10B981', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}

np.random.seed(42)
data = np.random.normal(75, 12, 500)
target = 80

fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])

counts, bins, patches = ax.hist(data, bins=30, edgecolor='white', linewidth=0.5)

for i, patch in enumerate(patches):
    bin_center = (bins[i] + bins[i+1]) / 2
    if bin_center >= target:
        patch.set_facecolor(COLORS['above'])
    else:
        patch.set_facecolor(COLORS['bars'])
    patch.set_alpha(0.85)

ax.axvline(target, color=COLORS['target'], linewidth=2.5, linestyle='--', label=f'Target: {target}')

pct_above = (data >= target).sum() / len(data) * 100
ax.text(0.97, 0.95, f'{pct_above:.0f}% above target', transform=ax.transAxes, fontsize=10, fontweight='bold',
        verticalalignment='top', horizontalalignment='right', color=COLORS['above'])

ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color(COLORS['grid'])
ax.spines['bottom'].set_color(COLORS['grid'])
ax.yaxis.grid(True, color=COLORS['grid'], linewidth=1, zorder=0)
ax.set_axisbelow(True)
ax.tick_params(axis='both', colors=COLORS['text_muted'], labelsize=9, length=0, pad=8)
ax.set_xlabel('Score', fontsize=10, color=COLORS['text'], labelpad=10)
ax.set_ylabel('Count', fontsize=10, color=COLORS['text'], labelpad=10)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), ncol=1, frameon=False, fontsize=9, labelcolor=COLORS['text_muted'])

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Basic Charts

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