Histogram
Skill Level Pyramid
Employee skills assessment.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {'junior': '#10B981', 'senior': '#6366F1', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}
skills = ['Python', 'SQL', 'ML', 'Cloud', 'DevOps']
junior = [80, 60, 30, 25, 20]
senior = [95, 90, 75, 70, 65]
fig, ax = plt.subplots(figsize=(10, 5), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])
y = np.arange(len(skills))
ax.barh(y, [-j for j in junior], height=0.6, color=COLORS['junior'], label='Junior')
ax.barh(y, senior, height=0.6, color=COLORS['senior'], label='Senior')
ax.axvline(0, color=COLORS['text'], linewidth=1)
ax.set_yticks(y)
ax.set_yticklabels(skills)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_color(COLORS['grid'])
ax.tick_params(axis='both', colors=COLORS['text_muted'], labelsize=9, length=0, pad=8)
ax.set_xlabel('Proficiency (%)', fontsize=10, color=COLORS['text'], labelpad=10)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=2, frameon=False, fontsize=9, labelcolor=COLORS['text_muted'])
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Basic Charts
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