Debt Reduction Waterfall

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

# Debt changes (in millions)
categories = ['Beginning\nDebt', 'Term Loan\nPaydown', 'Revolver\nPaydown', 'Bond\nMaturity', 
              'Refinancing', 'New\nIssuance', 'Debt\nRepurchase', 'Ending\nDebt']
values = [0, -45, -25, -150, 0, 80, -35, 0]

# Calculate running total
initial = 520
running_total = initial
bottoms = []
heights = []
colors = []

for i, (cat, val) in enumerate(zip(categories, values)):
    if 'Beginning' in cat:
        bottoms.append(0)
        heights.append(initial)
        colors.append('#F5276C')
    elif 'Ending' in cat:
        bottoms.append(0)
        heights.append(running_total)
        colors.append('#6CF527' if running_total < initial else '#F5B027')
    elif 'Refinancing' in cat:
        bottoms.append(running_total - 40)
        heights.append(80)
        colors.append('#F5B027')
    elif val > 0:
        bottoms.append(running_total)
        heights.append(val)
        colors.append('#F54927')
        running_total += val
    else:
        bottoms.append(running_total + val)
        heights.append(abs(val))
        colors.append('#27F5B0')
        running_total += val

# Create figure
fig, ax = plt.subplots(figsize=(14, 8), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

x = np.arange(len(categories))
bars = ax.bar(x, heights, bottom=bottoms, color=colors, width=0.65, edgecolor='#1e293b', linewidth=1)

# Add value labels
for i, (bar, val, bot, height) in enumerate(zip(bars, values, bottoms, heights)):
    y_pos = bot + height / 2
    if 'Beginning' in categories[i]:
        label = f"${height}M"
        ax.text(bar.get_x() + bar.get_width()/2, y_pos, label, 
                ha='center', va='center', fontsize=11, fontweight='bold', color='white')
    elif 'Ending' in categories[i]:
        label = f"${height}M"
        ax.text(bar.get_x() + bar.get_width()/2, y_pos, label, 
                ha='center', va='center', fontsize=11, fontweight='bold', color='#0a0a0f')
    elif 'Refinancing' in categories[i]:
        label = "Swap"
        ax.text(bar.get_x() + bar.get_width()/2, y_pos, label, 
                ha='center', va='center', fontsize=10, fontweight='bold', color='#0a0a0f')
    else:
        label = f"+${val}M" if val > 0 else f"-${abs(val)}M"
        ax.text(bar.get_x() + bar.get_width()/2, y_pos, label, 
                ha='center', va='center', fontsize=10, fontweight='bold', color='white')

# Styling
ax.set_xlim(-0.6, len(categories) - 0.4)
ax.set_ylim(0, initial * 1.1)
ax.set_xticks(x)
ax.set_xticklabels(categories, fontsize=9, color='#e2e8f0')
ax.set_ylabel('Debt Outstanding ($ Millions)', fontsize=12, color='#e2e8f0', fontweight='500')
ax.set_title('Annual Debt Reduction Progress', fontsize=16, color='white', fontweight='bold', pad=20)

ax.tick_params(axis='y', colors='#e2e8f0', labelsize=10)
ax.yaxis.grid(True, linestyle='--', alpha=0.3, color='#334155')
ax.set_axisbelow(True)

for spine in ax.spines.values():
    spine.set_color('#334155')

# Debt reduction annotation
reduction = initial - running_total
pct = (reduction / initial) * 100
ax.annotate(f'Net Debt Reduction: ${reduction}M ({pct:.1f}%)', xy=(0.98, 0.95), xycoords='axes fraction',
            fontsize=11, color='#6CF527', ha='right', fontweight='bold',
            bbox=dict(boxstyle='round,pad=0.4', facecolor='#1e293b', edgecolor='#6CF527', alpha=0.9))

# Legend outside plot
legend_elements = [
    Patch(facecolor='#F5276C', label='Beginning Debt'),
    Patch(facecolor='#27F5B0', label='Paydowns'),
    Patch(facecolor='#F5B027', label='Refinancing'),
    Patch(facecolor='#F54927', label='New Debt'),
    Patch(facecolor='#6CF527', label='Ending Debt')
]
ax.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(0, -0.1), 
          ncol=5, fontsize=8, facecolor='#1e293b', edgecolor='#334155', labelcolor='white')

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