This is a simple Python notebook. Below we'll show off matplotlib plotting.

In [1]:
import numpy as np
import matplotlib.pyplot as plt
plt.ion()
In [2]:
x = 100 * np.random.rand(500)
y = 100 * np.random.rand(500)
areas = 1000 * np.random.rand(500)
In [3]:
fig, ax = plt.subplots(figsize=(10, 10))
ax.scatter(x, y, s=areas, c=areas, alpha=.5)
Out[3]:
<matplotlib.collections.PathCollection at 0x7facbdfa4be0>