Drone Delivery Metrics

import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.colors import LinearSegmentedColormap

fig = plt.figure(figsize=(12, 8), facecolor='#0a0a0f')
ax = fig.add_subplot(111, projection='3d')
ax.set_facecolor('#0a0a0f')

zones = 5
weather = 4
xpos = np.arange(zones)
zpos = np.arange(weather)
xpos, zpos = np.meshgrid(xpos, zpos)
xpos = xpos.flatten()
zpos = zpos.flatten()
ypos = np.zeros_like(xpos)

dx = 0.6
dz = 0.6
np.random.seed(333)
weather_penalty = [0, 0.1, 0.25, 0.4]
dy = np.array([np.clip(95 - weather_penalty[i // 5] * 100 + np.random.normal(0, 3), 50, 100) for i in range(20)])

cmap = LinearSegmentedColormap.from_list('neon', ['#C82909', '#F5B027', '#6CF527', '#27F5B0'])
norm = plt.Normalize(50, 100)
colors = [cmap(norm(v)) for v in dy]

ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color=colors, alpha=0.9, edgecolor='#1a1a2e', linewidth=0.4)

ax.set_xlabel('Zone', fontsize=11, color='white', labelpad=12)
ax.set_ylabel('Success (%)', fontsize=11, color='white', labelpad=12)
ax.set_zlabel('Weather', fontsize=11, color='white', labelpad=10)
ax.set_title('Drone Delivery Success Rates', fontsize=14, color='white', fontweight='bold', pad=20)

ax.set_xticks(range(5))
ax.set_xticklabels(['Urban', 'Suburb', 'Rural', 'Industrial', 'Campus'], fontsize=7, color='#888888')
ax.set_zticks(range(4))
ax.set_zticklabels(['Clear', 'Cloudy', 'Rain', 'Wind'], fontsize=8, color='#888888')
ax.tick_params(colors='#888888', labelsize=9)

ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#333333')
ax.yaxis.pane.set_edgecolor('#333333')
ax.zaxis.pane.set_edgecolor('#333333')
ax.grid(True, alpha=0.2, linewidth=0.5)

ax.view_init(elev=25, azim=50)
plt.tight_layout()
plt.show()