matplotlib · timhoffm · Dec 10, 2021 · Nov 25, 2021
diff --git a/examples/showcase/anatomy.py b/examples/showcase/anatomy.py
@@ -6,19 +6,29 @@
 This figure shows the name of several matplotlib elements composing a figure
 """
 
+
 import numpy as np
 import matplotlib.pyplot as plt
+from matplotlib.patches import Circle, Rectangle
+from matplotlib.patheffects import withStroke
 from matplotlib.ticker import AutoMinorLocator, MultipleLocator
 
+royal_blue = "#002082"
+royal_blue = [0, 20/256, 82/256]
+
+# make the figure
+
 np.random.seed(19680801)
 
 X = np.linspace(0.5, 3.5, 100)
 Y1 = 3+np.cos(X)
 Y2 = 1+np.cos(1+X/0.75)/2
 Y3 = np.random.uniform(Y1, Y2, len(X))
 
-fig = plt.figure(figsize=(8, 8))
-ax = fig.add_subplot(1, 1, 1, aspect=1)
+fig = plt.figure(figsize=(8, 8), facecolor='1')
+marg = 0.15
+ax = fig.add_axes([marg, marg, 1-1.8*marg, 1-1.8*marg], aspect=1,
+                  facecolor='1')
 
 
 def minor_tick(x, pos):
@@ -36,110 +46,107 @@ def minor_tick(x, pos):
 ax.set_xlim(0, 4)
 ax.set_ylim(0, 4)
 
-ax.tick_params(which='major', width=1.0)
-ax.tick_params(which='major', length=10)
+ax.tick_params(which='major', width=1.0, labelsize=14)
+ax.tick_params(which='major', length=10, labelsize=14)
 ax.tick_params(which='minor', width=1.0, labelsize=10)
 ax.tick_params(which='minor', length=5, labelsize=10, labelcolor='0.25')
 
 ax.grid(linestyle="--", linewidth=0.5, color='.25', zorder=-10)
 
-ax.plot(X, Y1, c=(0.25, 0.25, 1.00), lw=2, label="Blue signal", zorder=10)
-ax.plot(X, Y2, c=(1.00, 0.25, 0.25), lw=2, label="Red signal")
-ax.plot(X, Y3, linewidth=0,
-        marker='o', markerfacecolor='w', markeredgecolor='k')
+ax.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)
 
 ax.set_title("Anatomy of a figure", fontsize=20, verticalalignment='bottom')
-ax.set_xlabel("X axis label")
-ax.set_ylabel("Y axis label")
+ax.set_xlabel("x Axis label", fontsize=14)
+ax.set_ylabel("y Axis label", fontsize=14)
+
+ax.legend(loc="upper right", fontsize=14)
 
-ax.legend(loc="upper right")
+# Annotate the figure
 
 
-def circle(x, y, radius=0.15):
-    from matplotlib.patches import Circle
-    from matplotlib.patheffects import withStroke
-    circle = Circle((x, y), radius, clip_on=False, zorder=10, linewidth=1,
-                    edgecolor='black', facecolor=(0, 0, 0, .0125),
-                    path_effects=[withStroke(linewidth=5, foreground='w')])
-    ax.add_artist(circle)
+def just_circle(x, y, radius=0.15):
+    c = Circle((x, y), radius, clip_on=False, zorder=10, linewidth=2.5,
+               edgecolor=royal_blue + [0.6], facecolor='none',
+               path_effects=[withStroke(linewidth=7, foreground=(1, 1, 1, 1))])
+    ax.add_artist(c)
 
 
 def text(x, y, text):
-    ax.text(x, y, text, backgroundcolor="white",
-            ha='center', va='top', weight='bold', color='blue')
+    ax.text(x, y, text, zorder=100,
+            ha='center', va='top', weight='bold', color=royal_blue,
+            style='italic', fontfamily='monospace',
+            path_effects=[withStroke(linewidth=7, foreground=(1, 1, 1, 1))])
 
 
-# Minor tick
-circle(0.50, -0.10)
-text(0.50, -0.32, "Minor tick label")
+def code(x, y, text):
+    ax.text(x, y, text, zorder=100,
+            ha='center', va='top', weight='normal', color='0.0',
+            fontfamily='Courier New', fontsize='medium',
+            path_effects=[withStroke(linewidth=7, foreground=(1, 1, 1, 1))])
+
+
+def circle(x, y, txt, cde, radius=0.15):
+    just_circle(x, y, radius=radius)
+    text(x, y-0.2, txt)
+    code(x, y-0.33, cde)
+
+# Minor tick label
+circle(3.25, -0.10, "Minor tick label",
+       "ax.xaxis.set_minor_formatter")
 
 # Major tick
-circle(-0.03, 4.00)
-text(0.03, 3.80, "Major tick")
+circle(-0.03, 1.05, "Major tick", "ax.yaxis.set_major_locator")
 
 # Minor tick
-circle(0.00, 3.50)
-text(0.00, 3.30, "Minor tick")
+y = 3.75
+circle(0.00, 3.75, "Minor tick", "ax.yaxis.set_minor_locator")
 
 # Major tick label
-circle(-0.15, 3.00)
-text(-0.15, 2.80, "Major tick label")
+circle(-0.15, 3.00, "Major tick label", "ax.yaxis.set_major_formatter")
 
 # X Label
-circle(1.80, -0.27)
-text(1.80, -0.45, "X axis label")
+circle(1.90, -0.32, "xlabel", "ax.set_xlabel")
 
 # Y Label
-circle(-0.27, 1.80)
-text(-0.27, 1.6, "Y axis label")
+circle(-0.27, 1.68, "ylabel", "ax.set_ylabel")
 
 # Title
-circle(1.60, 4.13)
-text(1.60, 3.93, "Title")
+circle(1.58, 4.13, "Title", "ax.set_title")
 
 # Blue plot
-circle(1.75, 2.80)
-text(1.75, 2.60, "Line\n(line plot)")
-
-# Red plot
-circle(1.20, 0.60)
-text(1.20, 0.40, "Line\n(line plot)")
+circle(1.75, 2.80, "Line", "ax.plot")
 
 # Scatter plot
-circle(3.20, 1.75)
-text(3.20, 1.55, "Markers\n(scatter plot)")
+circle(2.25, 1.54, "Markers", "ax.scatter")
 
 # Grid
-circle(3.00, 3.00)
-text(3.00, 2.80, "Grid")
+circle(3.00, 3.00, "Grid", "ax.grid")
 
 # Legend
-circle(3.70, 3.80)
-text(3.70, 3.60, "Legend")
+circle(3.60, 3.65, "Legend", "ax.legend")
 
 # Axes
-circle(0.5, 0.5)
-text(0.5, 0.3, "Axes")
+circle(2.5, 0.55, "Axes", "fig.subplots")
 
 # Figure
-circle(-0.3, 0.65)
-text(-0.3, 0.45, "Figure")
-
-color = 'blue'
-ax.annotate('Spines', xy=(4.0, 0.35), xytext=(3.3, 0.5),
-            weight='bold', color=color,
-            arrowprops=dict(arrowstyle='->',
-                            connectionstyle="arc3",
-                            color=color))
-
-ax.annotate('', xy=(3.15, 0.0), xytext=(3.45, 0.45),
-            weight='bold', color=color,
-            arrowprops=dict(arrowstyle='->',
-                            connectionstyle="arc3",
-                            color=color))
-
-ax.text(4.0, -0.4, "Made with https://matplotlib.org",
-        fontsize=10, ha="right", color='.5')
+circle(4.185, 4.3, "Figure", "plt.figure")
+
+# x Axis
+circle(0.65, 0.01, "x Axis", "ax.xaxis")
+
+# y Axis
+circle(0, 0.44, "y Axis", "ax.yaxis")
+
+# Spine
+circle(4.0, 0.7, "Spine", "ax.spines")
+
+# frame around figure...
+fig.add_artist(Rectangle((0, 0), width=1, height=1, facecolor='none',
+               edgecolor='0.5', linewidth=10))
 
 plt.show()