Muscle Activation EMG

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

np.random.seed(1111)
bicep = np.abs(np.random.normal(50, 25, 6000))
tricep = np.abs(100 - bicep + np.random.normal(0, 15, 6000))

fig, ax = plt.subplots(figsize=(10, 8), facecolor='#faf5ff')
ax.set_facecolor('#f3e8ff')

colors = ['#f3e8ff', '#e9d5ff', '#d8b4fe', '#c084fc', '#a855f7', '#9333ea', '#7e22ce', '#6b21a8']
cmap = LinearSegmentedColormap.from_list('violet', colors, N=256)

hb = ax.hexbin(bicep, tricep, gridsize=28, cmap=cmap, mincnt=1, edgecolors='white', linewidths=0.3)

cbar = plt.colorbar(hb, ax=ax, pad=0.02, shrink=0.8)
cbar.outline.set_edgecolor('#e9d5ff')
cbar.ax.tick_params(colors='#7e22ce', labelsize=9)
cbar.set_label('Samples', color='#7e22ce', fontsize=10)

ax.set_xlabel('Bicep Activation (%)', color='#7e22ce', fontsize=11)
ax.set_ylabel('Tricep Activation (%)', color='#7e22ce', fontsize=11)
ax.tick_params(colors='#7e22ce', labelsize=10)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#e9d5ff')
ax.spines['bottom'].set_color('#e9d5ff')

plt.tight_layout()