Line & Scatter
Annotated Key Points
Chart with modern styled annotations highlighting key data points.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
# === STYLE CONFIG ===
COLORS = {
'line': '#10B981', # Emerald
'highlight': '#F59E0B', # Amber
'background': '#0F172A',
'card': '#1E293B',
'text': '#E2E8F0',
'text_muted': '#94A3B8',
'grid': '#334155',
}
# === DATA ===
x = np.linspace(0, 10, 100)
y = 2 + 3 * np.sin(0.8 * x) + 0.5 * x
# Key points
peak_idx = np.argmax(y)
peak_x, peak_y = x[peak_idx], y[peak_idx]
# === FIGURE ===
fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])
# === PLOT ===
# Glow effect on line
for lw, alpha in [(8, 0.05), (5, 0.1), (2.5, 1.0)]:
ax.plot(x, y, color=COLORS['line'], linewidth=lw, alpha=alpha)
# Highlight point with glow
for s, alpha in [(400, 0.1), (250, 0.2), (100, 0.4)]:
ax.scatter([peak_x], [peak_y], s=s, color=COLORS['highlight'], alpha=alpha)
ax.scatter([peak_x], [peak_y], s=50, color=COLORS['highlight'],
edgecolors='white', linewidths=2, zorder=5)
# Modern annotation box
bbox_props = dict(boxstyle='round,pad=0.5,rounding_size=0.3',
facecolor=COLORS['card'], edgecolor=COLORS['grid'],
alpha=0.95, linewidth=1)
ax.annotate(f'Peak: {peak_y:.1f}', xy=(peak_x, peak_y),
xytext=(peak_x + 1.5, peak_y + 1),
fontsize=10, color=COLORS['text'], fontweight='500',
bbox=bbox_props,
arrowprops=dict(arrowstyle='->', color=COLORS['text_muted'], lw=1.5))
# === AXES ===
ax.set_xlim(0, 10)
ax.set_ylim(0, 10)
ax.set_xlabel('Time', fontsize=10, color=COLORS['text'], labelpad=10)
ax.set_ylabel('Value', fontsize=10, color=COLORS['text'], labelpad=10)
# === STYLING ===
for spine in ax.spines.values():
spine.set_visible(False)
ax.yaxis.grid(True, color=COLORS['grid'], linewidth=0.5, alpha=0.3)
ax.xaxis.grid(False)
ax.set_axisbelow(True)
ax.tick_params(axis='both', colors=COLORS['text'], labelsize=9, length=0, pad=8)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Pairwise Data
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