Manufacturing Variance Analysis

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Patch

categories = ['Standard\nCost', 'Material\nPrice Var', 'Material\nUsage Var', 'Labor\nRate Var', 
              'Labor\nEfficiency', 'OH Volume\nVar', 'OH Spending\nVar', 'Actual\nCost']
values = [0, -18, -12, 8, 15, -22, -8, 0]

initial = 850
running_total = initial
bottoms, heights, colors = [], [], []

for i, (cat, val) in enumerate(zip(categories, values)):
    if 'Standard' in cat:
        bottoms.append(0)
        heights.append(initial)
        colors.append('#4927F5')
    elif 'Actual' in cat:
        bottoms.append(0)
        heights.append(running_total)
        colors.append('#F5276C' if running_total > initial else '#6CF527')
    elif val > 0:
        bottoms.append(running_total)
        heights.append(val)
        colors.append('#6CF527')  # Favorable
        running_total += val
    else:
        bottoms.append(running_total + val)
        heights.append(abs(val))
        colors.append('#F5276C')  # Unfavorable
        running_total += val

fig, ax = plt.subplots(figsize=(14, 8), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

x = np.arange(len(categories))
bars = ax.bar(x, heights, bottom=bottoms, color=colors, width=0.65, edgecolor='#e5e7eb', linewidth=1)

for i, (bar, val, bot, height) in enumerate(zip(bars, values, bottoms, heights)):
    y_pos = bot + height / 2
    if 'Standard' in categories[i] or 'Actual' in categories[i]:
        label = f"${height}K"
        ax.text(bar.get_x() + bar.get_width()/2, y_pos, label, ha='center', va='center', 
                fontsize=11, fontweight='bold', color='#374151')
    else:
        label = f"+${val}K (F)" if val > 0 else f"-${abs(val)}K (U)"
        ax.text(bar.get_x() + bar.get_width()/2, y_pos, label, ha='center', va='center', 
                fontsize=9, fontweight='bold', color='#374151')

for i in range(len(x) - 1):
    y = initial if i == 0 else bottoms[i] + heights[i]
    ax.plot([x[i] + 0.35, x[i+1] - 0.35], [y, y], color='#9ca3af', linestyle='--', linewidth=1.5, alpha=0.7)

ax.set_xlim(-0.6, len(categories) - 0.4)
ax.set_ylim(0, max(b + h for b, h in zip(bottoms, heights)) * 1.1)
ax.set_xticks(x)
ax.set_xticklabels(categories, fontsize=9, color='#374151')
ax.set_ylabel('Cost ($ Thousands)', fontsize=12, color='#374151', fontweight='500')
ax.set_title('Manufacturing Cost Variance Analysis', fontsize=16, color='#374151', fontweight='bold', pad=20)
ax.tick_params(axis='y', colors='#e2e8f0', labelsize=10)
ax.yaxis.grid(True, linestyle='--', alpha=0.3, color='#e5e7eb')
ax.set_axisbelow(True)
for spine in ax.spines.values():
    spine.set_color('#334155')

net_var = running_total - initial
status = "Unfavorable" if net_var > 0 else "Favorable"
ax.annotate(f'Net Variance: ${abs(net_var)}K {status}', xy=(0.98, 0.95), xycoords='axes fraction',
            fontsize=11, color='#F5276C' if net_var > 0 else '#6CF527', ha='right', fontweight='bold',
            bbox=dict(boxstyle='round,pad=0.4', facecolor='white', edgecolor='#F5276C' if net_var > 0 else '#6CF527', alpha=0.9))

legend_elements = [Patch(facecolor='#4927F5', label='Standard Cost'), Patch(facecolor='#6CF527', label='Favorable (F)'),
                   Patch(facecolor='#F5276C', label='Unfavorable (U)')]
ax.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(0, -0.1), ncol=3, fontsize=9,
          facecolor='white', edgecolor='#e5e7eb', labelcolor='#374151')

plt.tight_layout()
plt.subplots_adjust(bottom=0.15)
plt.show()