Bar Chart
Waterfall Chart
Financial waterfall showing incremental changes.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
# === STYLE CONFIG ===
COLORS = {
'increase': '#10B981',
'decrease': '#EF4444',
'total': '#6366F1',
'background': '#FFFFFF',
'text': '#1E293B',
'text_muted': '#64748B',
'grid': '#F1F5F9',
}
# === DATA ===
categories = ['Start', 'Sales', 'Returns', 'Marketing', 'Costs', 'End']
values = [100, 40, -15, -20, -25, 0]
values[-1] = sum(values[:-1])
# Calculate positions
cumulative = []
running = 0
for i, v in enumerate(values):
if i == 0:
cumulative.append(0)
elif i == len(values) - 1:
cumulative.append(0)
else:
cumulative.append(running)
running += v
# === FIGURE ===
fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])
# === PLOT ===
for i, (cat, val, bottom) in enumerate(zip(categories, values, cumulative)):
if i == 0 or i == len(values) - 1:
color = COLORS['total']
height = values[-1] if i == len(values) - 1 else val
b = 0
else:
color = COLORS['increase'] if val >= 0 else COLORS['decrease']
height = abs(val)
b = bottom if val >= 0 else bottom + val
ax.bar(i, height, bottom=b, width=0.5, color=color, alpha=0.85,
edgecolor='white', linewidth=2, zorder=3)
# Value label - placed above bars, not overlapping
if i in [0, len(values)-1]:
label_y = height + 3
label_text = str(abs(val)) if i == 0 else str(values[-1])
else:
label_y = b + height + 3 if val >= 0 else b - 3
label_text = f'{val:+d}'
ax.text(i, label_y, label_text, ha='center', va='bottom' if val >= 0 else 'top',
fontsize=9, fontweight='bold', color=COLORS['text'])
# === STYLING ===
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color(COLORS['grid'])
ax.spines['bottom'].set_color(COLORS['grid'])
ax.yaxis.grid(True, color=COLORS['grid'], linewidth=1, zorder=0)
ax.set_axisbelow(True)
ax.tick_params(axis='both', colors=COLORS['text_muted'], labelsize=9, length=0, pad=8)
ax.set_xticks(range(len(categories)))
ax.set_xticklabels(categories)
ax.set_ylim(-10, 130) # Extra room for labels
ax.set_ylabel('Value ($K)', fontsize=10, color=COLORS['text'], labelpad=10)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Basic Charts
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