Heatmap
Gaming Stats Leaderboard
Modern heatmap displaying player statistics
Output
Python
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap
np.random.seed(123)
players = ['xNinja', 'ShadowX', 'ProGamer', 'EliteSniper', 'NightOwl', 'StormRider', 'CyberWolf']
stats = ['K/D', 'Wins', 'Accuracy', 'Headshots', 'Playtime', 'Rank']
data = np.random.randint(20, 100, (len(players), len(stats)))
data[0, :3] = [95, 88, 92]
data[2, 2:5] = [78, 96, 85]
# Subtle: Light → Purple
colors = ['#faf5ff', '#e9d5ff', '#c084fc', '#5314E6']
cmap = LinearSegmentedColormap.from_list('SubtlePurple', colors, N=256)
fig, ax = plt.subplots(figsize=(11, 9), facecolor='#ffffff')
im = ax.imshow(data, cmap=cmap, aspect='auto', vmin=0, vmax=100)
ax.set_xticks(range(len(stats)))
ax.set_yticks(range(len(players)))
ax.set_xticklabels(stats, fontsize=11, color='#374151')
ax.set_yticklabels(players, fontsize=11, color='#1f2937', fontweight='500')
for i in range(len(players)):
for j in range(len(stats)):
val = data[i, j]
color = '#ffffff' if val > 70 else '#1f2937'
ax.text(j, i, f'{val}', ha='center', va='center', fontsize=11, fontweight='600', color=color)
cbar = plt.colorbar(im, ax=ax, shrink=0.6, pad=0.02)
cbar.set_label('Score', fontsize=11, color='#1f2937')
cbar.ax.tick_params(labelsize=9, colors='#6b7280')
cbar.outline.set_visible(False)
for spine in ax.spines.values():
spine.set_visible(False)
ax.tick_params(length=0)
ax.set_title('Player Stats Leaderboard', fontsize=16, color='#1f2937', fontweight='bold', pad=15)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Heatmaps & Density
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