Manufacturing Defect Rate

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

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

lines = 5
weeks = 6
xpos = np.arange(lines)
ypos = np.arange(weeks)
xpos, ypos = np.meshgrid(xpos, ypos)
xpos = xpos.flatten()
ypos = ypos.flatten()
zpos = np.zeros_like(xpos)

dx = dy = 0.6
np.random.seed(303)
dz = np.random.uniform(0.5, 4.2, size=30)

colors = plt.cm.colors.LinearSegmentedColormap.from_list('', ['#6CF527', '#F5B027', '#C82909'])
bar_colors = [colors(v/4.2) for v in dz]

ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color=bar_colors, alpha=0.9, edgecolor='#000000', linewidth=0.3)

ax.set_xlabel('Production Line', fontsize=11, color='#1f2937', labelpad=10)
ax.set_ylabel('Week', fontsize=11, color='#1f2937', labelpad=10)
ax.set_zlabel('Defect Rate %', fontsize=11, color='#1f2937', labelpad=10)
ax.set_title('Manufacturing Defect Rate', fontsize=14, color='#1f2937', fontweight='bold', pad=20)

ax.set_xticks(range(5))
ax.set_xticklabels(['L1', 'L2', 'L3', 'L4', 'L5'])
ax.set_yticks(range(6))
ax.set_yticklabels(['W1', 'W2', 'W3', 'W4', 'W5', 'W6'])
ax.tick_params(colors='#000000', labelsize=9)

ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#000000')
ax.yaxis.pane.set_edgecolor('#000000')
ax.zaxis.pane.set_edgecolor('#000000')
ax.grid(True, alpha=0.5, linewidth=0.5)
ax.xaxis._axinfo['grid']['color'] = '#000000'
ax.yaxis._axinfo['grid']['color'] = '#000000'
ax.zaxis._axinfo['grid']['color'] = '#000000'
ax.xaxis._axinfo['tick']['color'] = '#000000'
ax.yaxis._axinfo['tick']['color'] = '#000000'
ax.zaxis._axinfo['tick']['color'] = '#000000'

ax.xaxis.line.set_color('#000000')
ax.yaxis.line.set_color('#000000')
ax.zaxis.line.set_color('#000000')

plt.tight_layout()
plt.show()