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import numpy as np
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(5, 5))
ax.set_aspect(1)
x1 = -1 + np.random.randn(100)
y1 = -1 + np.random.randn(100)
x2 = 1. + np.random.randn(100)
y2 = 1. + np.random.randn(100)
ax.scatter(x1, y1, color="r")
ax.scatter(x2, y2, color="g")
bbox_props = dict(boxstyle="round", fc="w", ec="0.5", alpha=0.9)
ax.text(-2, -2, "Sample A", ha="center", va="center", size=20,
bbox=bbox_props)
ax.text(2, 2, "Sample B", ha="center", va="center", size=20,
bbox=bbox_props)
bbox_props = dict(boxstyle="rarrow", fc=(0.8, 0.9, 0.9), ec="b", lw=2)
t = ax.text(0, 0, "Direction", ha="center", va="center", rotation=45,
size=15,
bbox=bbox_props)
bb = t.get_bbox_patch()
bb.set_boxstyle("rarrow", pad=0.6)
ax.set_xlim(-4, 4)
ax.set_ylim(-4, 4)
plt.show()
 
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