Property Price vs Size

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

np.random.seed(42)

# Real estate data
size = np.concatenate([
    np.random.normal(1200, 300, 2000),
    np.random.normal(2000, 400, 2500),
    np.random.normal(3500, 600, 1000)
])
size = np.clip(size, 500, 6000)
price = size * 200 + np.random.normal(0, 50000, len(size))
price = np.clip(price, 100000, 1500000)

fig, ax = plt.subplots(figsize=(10, 8), facecolor='#020B14')
ax.set_facecolor('#020B14')

# Custom colormap: mint to yellow
colors = ['#020B14', '#0d2d2d', '#27F5B0', '#F5D327']
cmap = LinearSegmentedColormap.from_list('mint_yellow', colors, N=256)

h = ax.hist2d(size, price/1000, bins=45, cmap=cmap, cmin=1)
cbar = plt.colorbar(h[3], ax=ax, pad=0.02)
cbar.set_label('Properties', color='white', fontsize=11)
cbar.ax.yaxis.set_tick_params(color='white')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='white')

ax.set_xlabel('Size (sq ft)', fontsize=11, color='white', fontweight='500')
ax.set_ylabel('Price ($K)', fontsize=11, color='white', fontweight='500')
ax.set_title('Property Price vs Size', fontsize=14, color='white', fontweight='bold', pad=15)

ax.tick_params(colors='white', labelsize=9)
for spine in ax.spines.values():
    spine.set_color('#333333')

plt.tight_layout()
plt.show()