Line Styles

Preview dashes, caps, and joins side by side to choose line styles that stay legible once printed or projected.

import matplotlib.pyplot as plt
import numpy as np

import dartwork_mpl as dm

# Apply scientific style preset
dm.style.use("scientific")

# Generate data
x = np.linspace(0, 10, 100)
y1 = np.sin(x) + 3
y2 = np.sin(x + 0.5) + 1.5
y3 = np.sin(x + 1.0)
y4 = np.sin(x + 1.5) - 1.5

# Create figure
# Double column figure: 17cm width, 2x2 layout
fig = plt.figure(figsize=(dm.cm2in(16), dm.cm2in(12)), dpi=300)

# Create GridSpec for 2x2 subplots
gs = fig.add_gridspec(
    nrows=2,
    ncols=2,
    left=0.08,
    right=0.98,
    top=0.95,
    bottom=0.08,
    wspace=0.3,
    hspace=0.4,
)

# Panel A: Basic line styles
ax1 = fig.add_subplot(gs[0, 0])
ax1.plot(x, y1, "-", color="oc.red5", lw=0.7, label="Solid")
ax1.plot(x, y2, "--", color="oc.blue5", lw=0.7, label="Dashed")
ax1.plot(x, y3, "-.", color="oc.green5", lw=0.7, label="Dash-dot")
ax1.plot(x, y4, ":", color="oc.orange5", lw=0.7, label="Dotted")
ax1.set_xlabel("X value", fontsize=dm.fs(0))
ax1.set_ylabel("Y value", fontsize=dm.fs(0))
ax1.set_title("Basic Line Styles", fontsize=dm.fs(1))
ax1.legend(loc="best", fontsize=dm.fs(-1), ncol=2, frameon=False)
ax1.set_xticks([0, 2, 4, 6, 8, 10])
ax1.set_yticks([-3, -1, 1, 3, 5])

# Panel B: Custom dash patterns
ax2 = fig.add_subplot(gs[0, 1])
ax2.plot(x, y1, color="oc.red5", lw=0.7, linestyle=(0, (5, 1)), label="(5, 1)")
ax2.plot(x, y2, color="oc.blue5", lw=0.7, linestyle=(0, (5, 2)), label="(5, 2)")
ax2.plot(
    x,
    y3,
    color="oc.green5",
    lw=0.7,
    linestyle=(0, (5, 1, 1, 1)),
    label="(5, 1, 1, 1)",
)
ax2.plot(
    x, y4, color="oc.orange5", lw=0.7, linestyle=(0, (1, 1)), label="(1, 1)"
)
ax2.set_xlabel("X value", fontsize=dm.fs(0))
ax2.set_ylabel("Y value", fontsize=dm.fs(0))
ax2.set_title("Custom Dash Patterns", fontsize=dm.fs(1))
ax2.legend(loc="best", fontsize=dm.fs(-1), ncol=2, frameon=False)
ax2.set_xticks([0, 2, 4, 6, 8, 10])
ax2.set_yticks([-3, -1, 1, 3, 5])

# Panel C: Line styles with markers
ax3 = fig.add_subplot(gs[1, 0])
x_sparse = np.linspace(0, 10, 20)
y1_sparse = np.sin(x_sparse) + 3
y2_sparse = np.sin(x_sparse + 0.5) + 1.5
y3_sparse = np.sin(x_sparse + 1.0)
y4_sparse = np.sin(x_sparse + 1.5) - 1.5
ax3.plot(
    x_sparse, y1_sparse, "o-", color="oc.red5", lw=0.5, ms=3, label="Solid"
)
ax3.plot(
    x_sparse, y2_sparse, "s--", color="oc.blue5", lw=0.5, ms=3, label="Dashed"
)
ax3.plot(
    x_sparse,
    y3_sparse,
    "^-.",
    color="oc.green5",
    lw=0.5,
    ms=3,
    label="Dash-dot",
)
ax3.plot(
    x_sparse,
    y4_sparse,
    "D:",
    color="oc.orange5",
    lw=0.5,
    ms=2.5,
    label="Dotted",
)
ax3.set_xlabel("X value", fontsize=dm.fs(0))
ax3.set_ylabel("Y value", fontsize=dm.fs(0))
ax3.set_title("Lines with Markers", fontsize=dm.fs(1))
ax3.legend(loc="best", fontsize=dm.fs(-1), ncol=2, frameon=False)
ax3.set_xticks([0, 2, 4, 6, 8, 10])
ax3.set_yticks([-3, -1, 1, 3, 5])

# Panel D: Same color, different styles
ax4 = fig.add_subplot(gs[1, 1])
ax4.plot(x, y1, "-", color="oc.blue5", lw=0.7, label="Model 1")
ax4.plot(x, y2, "--", color="oc.blue5", lw=0.7, label="Model 2")
ax4.plot(x, y3, "-.", color="oc.blue5", lw=0.7, label="Model 3")
ax4.plot(x, y4, ":", color="oc.blue5", lw=0.7, label="Model 4")
ax4.set_xlabel("X value", fontsize=dm.fs(0))
ax4.set_ylabel("Y value", fontsize=dm.fs(0))
ax4.set_title("Same Color Variants", fontsize=dm.fs(1))
ax4.legend(loc="best", fontsize=dm.fs(-1), ncol=2, frameon=False)
ax4.set_xticks([0, 2, 4, 6, 8, 10])
ax4.set_yticks([-3, -1, 1, 3, 5])

# Optimize layout
dm.simple_layout(fig, gs=gs)

# Save and show plot
plt.show()