Histogram
Transaction Amounts
Payment transaction distribution.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {'bars': '#374151', 'bins': ['#E5E7EB', '#9CA3AF', '#6B7280', '#4B5563', '#374151'], 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}
np.random.seed(42)
transactions = np.random.lognormal(3, 1, 800)
transactions = transactions[transactions < 500]
fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])
counts, bins, patches = ax.hist(transactions, bins=30, edgecolor='white', linewidth=0.5)
for i, patch in enumerate(patches):
intensity = i / len(patches)
gray = int(55 + (1-intensity) * 100)
patch.set_facecolor(f'#{gray:02x}{gray:02x}{gray:02x}')
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_xlabel('Amount ($)', fontsize=10, color=COLORS['text'], labelpad=10)
ax.set_ylabel('Transactions', fontsize=10, color=COLORS['text'], labelpad=10)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Basic Charts
More Histogram examples
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