Mixed Subplot Types

Mix bars, lines, histograms, and tabular panels on one page with consistent sizing.

import matplotlib.pyplot as plt
import numpy as np

import dartwork_mpl as dm

dm.style.use("scientific")

np.random.seed(42)

fig = plt.figure(figsize=(dm.cm2in(16), dm.cm2in(12)), dpi=300)
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: Line plot
ax1 = fig.add_subplot(gs[0, 0])
x = np.linspace(0, 10, 100)
ax1.plot(x, np.sin(x), color="oc.blue5", lw=0.7, label="Sin")
ax1.plot(x, np.cos(x), color="oc.red5", lw=0.7, label="Cos")
ax1.set_xlabel("X", fontsize=dm.fs(0))
ax1.set_ylabel("Y", fontsize=dm.fs(0))
ax1.set_title("Line Plot", fontsize=dm.fs(1))
ax1.legend(loc="best", fontsize=dm.fs(-1))

# Panel B: Scatter with regression
ax2 = fig.add_subplot(gs[0, 1])
x_scatter = np.random.rand(50) * 10
y_scatter = 2 * x_scatter + 1 + np.random.randn(50) * 2
ax2.scatter(x_scatter, y_scatter, c="oc.green5", s=10, alpha=0.6)
z = np.polyfit(x_scatter, y_scatter, 1)
p = np.poly1d(z)
ax2.plot(x_scatter, p(x_scatter), color="oc.red5", lw=0.7, linestyle="--")
ax2.set_xlabel("X", fontsize=dm.fs(0))
ax2.set_ylabel("Y", fontsize=dm.fs(0))
ax2.set_title("Scatter + Fit", fontsize=dm.fs(1))

# Panel C: Bar chart
ax3 = fig.add_subplot(gs[1, 0])
categories = ["A", "B", "C", "D", "E"]
values = np.random.rand(5) * 20 + 10
ax3.bar(
    categories,
    values,
    color="oc.orange5",
    alpha=0.7,
    edgecolor="oc.orange7",
    linewidth=0.3,
)
ax3.set_xlabel("Category", fontsize=dm.fs(0))
ax3.set_ylabel("Value", fontsize=dm.fs(0))
ax3.set_title("Bar Chart", fontsize=dm.fs(1))

# Panel D: Pie chart
ax4 = fig.add_subplot(gs[1, 1])
sizes = [25, 30, 20, 15, 10]
colors_pie = ["oc.red5", "oc.blue5", "oc.green5", "oc.orange5", "oc.violet5"]
ax4.pie(
    sizes,
    labels=categories,
    colors=colors_pie,
    autopct="%1.0f%%",
    startangle=90,
    textprops={"fontsize": dm.fs(-2)},
)
ax4.set_title("Pie Chart", fontsize=dm.fs(1))

dm.simple_layout(fig, gs=gs)
plt.show()