A line plot with visible markers at each data point, combining line and scatter plot features. This is particularly useful for sparse data where individual observations are significant.
""" anyplot.ai
line-markers: Line Plot with Markers
Library: matplotlib 3.10.9 | Python 3.13.13
Quality: 75/100 | Updated: 2026-05-12
"""
import matplotlib.pyplot as plt
import numpy as np
# Data - Temperature readings over 14 days from weather stations
np.random.seed(42)
days = np.arange(1, 15)
# Station A: Coastal location (moderate, stable)
station_a = 18 + np.cumsum(np.random.randn(14) * 0.8)
# Station B: Inland location (more variable)
station_b = 15 + np.cumsum(np.random.randn(14) * 1.2)
# Station C: Mountain location (cooler, different pattern)
station_c = 10 + np.cumsum(np.random.randn(14) * 1.0)
# Create plot
fig, ax = plt.subplots(figsize=(16, 9))
# Plot lines with different marker styles
ax.plot(
days,
station_a,
marker="o",
markersize=12,
linewidth=3,
color="#306998",
label="Coastal Station",
markeredgecolor="white",
markeredgewidth=2,
)
ax.plot(
days,
station_b,
marker="s",
markersize=12,
linewidth=3,
color="#FFD43B",
label="Inland Station",
markeredgecolor="white",
markeredgewidth=2,
)
ax.plot(
days,
station_c,
marker="^",
markersize=12,
linewidth=3,
color="#E74C3C",
label="Mountain Station",
markeredgecolor="white",
markeredgewidth=2,
)
# Labels and styling
ax.set_xlabel("Day", fontsize=20)
ax.set_ylabel("Temperature (°C)", fontsize=20)
ax.set_title("line-markers · matplotlib · pyplots.ai", fontsize=24)
ax.tick_params(axis="both", labelsize=16)
ax.grid(True, alpha=0.3, linestyle="--")
ax.legend(fontsize=16, loc="best")
# Set x-axis to show all days
ax.set_xticks(days)
plt.tight_layout()
plt.savefig("plot.png", dpi=300, bbox_inches="tight")
Part of Line Plot with Markers on anyplot.ai.