import numpy as npimport matplotlib.pyplot as pltfrom matplotlib.ticker import AutoMinorLocator, MultipleLocatorroyal_blue = [0, 20 / 256, 82 / 256]# Figure Datanp.random.seed(19680801)X = np.linspace(0.5, 3.5, 100)Y1 = 3 + np.cos(X)Y2 = 1 + np.cos(1 + X / 0.75) / 2Y3 = np.random.uniform(Y1, Y2, len(X))# Create Figurefig = plt.figure(figsize=(7.5, 7.5))ax = fig.add_axes([0.2, 0.17, 0.68, 0.7], aspect=1)ax.xaxis.set_major_locator(MultipleLocator(1.000))ax.xaxis.set_minor_locator(AutoMinorLocator(4))ax.yaxis.set_major_locator(MultipleLocator(1.000))ax.yaxis.set_minor_locator(AutoMinorLocator(4))ax.xaxis.set_minor_formatter("{x:.2f}")ax.set_xlim(0, 4)ax.set_ylim(0, 4)ax.tick_params(which="major", width=1.0, length=10, labelsize=14)ax.tick_params(which="minor", width=1.0, length=5, labelsize=10, labelcolor="0.25")ax.grid(linestyle="--", linewidth=0.5, color=".25", zorder=-10)# Populate Figureax.plot(X, Y1, c="C0", lw=2.5, label="Blue signal", zorder=10)ax.plot(X, Y2, c="C1", lw=2.5, label="Orange signal")ax.plot( X[::3], Y3[::3], linewidth=0, markersize=9, marker="s", markerfacecolor="none", markeredgecolor="C4", markeredgewidth=2.5,)# Annotate Figureax.set_title("Anatomy of a figure", fontsize=20, verticalalignment="bottom")ax.set_xlabel("x Axis label", fontsize=14)ax.set_ylabel("y Axis label", fontsize=14)ax.legend(loc="upper right", fontsize=14)# Frame around figurefig.patch.set(linewidth=4, edgecolor="0.5")# Based on https://matplotlib.org/stable/gallery/showcase/anatomy.html
