Endurance Athlete Metrics

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

np.random.seed(42)
n_athletes = 5000

vo2_max = np.random.normal(55, 12, n_athletes)
vo2_max = np.clip(vo2_max, 30, 85)

lt_percent = 0.7 + 0.003 * vo2_max + np.random.normal(0, 0.06, n_athletes)
lt_percent = np.clip(lt_percent, 0.6, 0.95) * 100

fig, ax = plt.subplots(figsize=(10, 8), facecolor='#ffffff')
ax.set_facecolor('#f0fdf4')

colors = ['#f0fdf4', '#dcfce7', '#bbf7d0', '#86efac', '#4ade80', 
          '#22c55e', '#16a34a', '#15803d', '#166534', '#14532d']
cmap = LinearSegmentedColormap.from_list('green', colors, N=256)

hb = ax.hexbin(vo2_max, lt_percent, gridsize=30, cmap=cmap, mincnt=1,
               edgecolors='white', linewidths=0.3)

ax.axvline(x=70, color='#16a34a', linestyle='--', alpha=0.7, linewidth=2, label='Elite VO2 (>70)')
ax.axhline(y=85, color='#0ea5e9', linestyle='--', alpha=0.7, linewidth=2, label='Elite LT (>85%)')

from matplotlib.patches import Rectangle
elite = Rectangle((70, 85), 15, 10, fill=False, edgecolor='#eab308', 
                   linewidth=2.5, linestyle='-', alpha=0.9)
ax.add_patch(elite)
ax.text(77.5, 92, 'World Class', fontsize=10, color='#ca8a04', ha='center', fontweight='700')

cbar = plt.colorbar(hb, ax=ax, pad=0.02, shrink=0.85)
cbar.set_label('Athlete Count', fontsize=11, color='#14532d', labelpad=10)
cbar.ax.yaxis.set_tick_params(color='#166534')
cbar.outline.set_edgecolor('#bbf7d0')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='#166534', fontsize=9)

ax.set_xlabel('VO2 Max (ml/kg/min)', fontsize=12, color='#14532d', fontweight='600', labelpad=12)
ax.set_ylabel('Lactate Threshold (% VO2)', fontsize=12, color='#14532d', fontweight='600', labelpad=12)
ax.set_title('Endurance Athlete Performance', fontsize=16, color='#052e16', fontweight='700', pad=20)

ax.tick_params(colors='#166534', labelsize=10, length=0)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#bbf7d0')
ax.spines['bottom'].set_color('#bbf7d0')

ax.legend(loc='lower right', fontsize=9, frameon=True, facecolor='white', 
          edgecolor='#bbf7d0', labelcolor='#14532d')
ax.grid(True, alpha=0.3, color='#bbf7d0', linestyle='-', linewidth=0.5)
ax.set_axisbelow(True)

plt.tight_layout()
plt.show()