Removed link to repository

rougier · rougier · commit 9acf1dd31c44 · 2016-09-09T11:26:52.000+01:00
diff --git a/examples/showcase/anatomy.py b/examples/showcase/anatomy.py
@@ -0,0 +1,145 @@
+# 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
+from matplotlib.ticker import MultipleLocator, FuncFormatter
+
+np.random.seed(123)
+
+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))
+
+plt.figure(figsize=(8, 8), facecolor="w")
+ax = plt.subplot(111, aspect=1)
+
+
+def minor_tick(x, pos):
+    if not x % 1.0:
+        return ""
+    return "%.2f" % x
+
+plt.axes().xaxis.set_major_locator(MultipleLocator(1.000))
+plt.axes().xaxis.set_minor_locator(MultipleLocator(0.250))
+plt.axes().yaxis.set_major_locator(MultipleLocator(1.000))
+plt.axes().yaxis.set_minor_locator(MultipleLocator(0.250))
+plt.axes().xaxis.set_minor_formatter(FuncFormatter(minor_tick))
+
+plt.xlim(0, 4)
+plt.ylim(0, 4)
+
+plt.tick_params(which='major', width=1.0)
+plt.tick_params(which='major', length=10)
+plt.tick_params(which='minor', width=1.0, labelsize=10)
+plt.tick_params(which='minor', length=5, labelsize=10, labelcolor='0.25')
+
+plt.grid(linestyle="--", linewidth=0.5, color='.25', zorder=-10)
+
+plt.plot(X, Y1, c=(0.25, 0.25, 1.00), lw=2, label="Blue signal", zorder=10)
+plt.plot(X, Y2, c=(1.00, 0.25, 0.25), lw=2, label="Red signal")
+plt.scatter(X, Y3, c='w')
+
+plt.title("Anatomy of a figure", fontsize=20)
+plt.xlabel("X axis label")
+plt.ylabel("Y axis label")
+
+plt.legend(frameon=False)
+
+
+def circle(x, y, radius=0.15):
+    center = x, y
+    circle = Circle(center, radius, clip_on=False, zorder=10,
+                    edgecolor='white', facecolor='none', linewidth=5.0)
+    plt.axes().add_artist(circle)
+    circle = Circle(center, radius, clip_on=False, zorder=20,
+                    edgecolor='none', facecolor='black', alpha=.025)
+    plt.axes().add_artist(circle)
+    circle = Circle(center, radius, clip_on=False, zorder=30,
+                    edgecolor='black', facecolor='none', linewidth=1.0)
+    plt.axes().add_artist(circle)
+
+
+def text(x, y, text):
+    plt.text(x, y, text, backgroundcolor="white",
+             ha='center', va='top', weight='bold', color='blue')
+
+
+# Minor tick
+circle(0.50, -.05)
+text(0.50, -0.25, "Minor tick label")
+
+# Major tick
+circle(4.00, 2.00)
+text(4.00, 1.80, "Major tick")
+
+# Minor tick
+circle(0.25, 4.00)
+text(0.25, 3.80, "Minor tick")
+
+# Major tick label
+circle(-0.05, 3.00)
+text(-0.05, 2.80, "Major tick label")
+
+# X Label
+circle(1.80, -0.22)
+text(1.80, -0.4, "X axis label")
+
+# Y Label
+circle(-0.20, 1.80)
+text(-0.20, 1.6, "Y axis label")
+
+# Title
+circle(1.60, 4.10)
+text(1.60, 3.9, "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)")
+
+# Scatter plot
+circle(3.20, 1.75)
+text(3.20, 1.55, "Markers\n(scatter plot)")
+
+# Grid
+circle(3.00, 3.00)
+text(3.00, 2.80, "Grid")
+
+# Legend
+circle(3.70, 3.75)
+text(3.70, 3.55, "Legend")
+
+# Axis
+circle(0.5, 0.5)
+text(0.5, 0.3, "Axis")
+
+# Plot
+circle(-0.3, 0.65)
+text(-0.3, 0.45, "Plot")
+
+color = 'blue'
+plt.annotate('Spines', xy=(4.0, 0.35), xycoords='data',
+             xytext=(3.3, 0.5), textcoords='data',
+             weight='bold', color=color,
+             arrowprops=dict(arrowstyle='->',
+                             connectionstyle="arc3",
+                             color=color))
+
+plt.annotate('', xy=(3.15, 0.0), xycoords='data',
+             xytext=(3.45, 0.45), textcoords='data',
+             weight='bold', color=color,
+             arrowprops=dict(arrowstyle='->',
+                             connectionstyle="arc3",
+                             color=color))
+
+plt.text(4.0, -0.4, "Made with http://matplotlib.org",
+         fontsize=10, ha="right", color='.5')
+
+plt.savefig("anatomy.pdf")
+plt.savefig("anatomy.png", dpi=150)
+plt.show()
