Perhaps use plt.annotate:
import numpy as np
import matplotlib.pyplot as plt
N = 10
data = np.random.random((N, 4))
labels = ['point{0}'.format(i) for i in range(N)]
plt.subplots_adjust(bottom = 0.1)
plt.scatter(
data[:, 0], data[:, 1], marker="o", c=data[:, 2], s=data[:, 3] * 1500,
cmap=plt.get_cmap('Spectral'))
for label, x, y in zip(labels, data[:, 0], data[:, 1]):
plt.annotate(
label,
xy=(x, y), xytext=(-20, 20),
textcoords="offset points", ha="right", va="bottom",
bbox=dict(boxstyle="round,pad=0.5", fc="yellow", alpha=0.5),
arrowprops=dict(arrowstyle="->", connectionstyle="arc3,rad=0"))
plt.show()