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%matplotlib inline


    

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import numpy as np
import matplotlib.pyplot as plt

size = 256,16
dpi = 72.0
figsize= size[0] / float(dpi), size[1] / float(dpi)
fig = plt.figure(figsize=figsize, dpi=dpi)
fig.patch.set_alpha(0)
plt.axes([0, 0, 1, 1], frameon=False)

for i in range(1, 11):
    r, g, b = np.random.uniform(0, 1, 3)
    plt.plot([i, ], [1, ], 's', markersize=5, markerfacecolor='w',
             markeredgewidth=1.5, markeredgecolor=(r, g, b, 1))

plt.xlim(0, 11)
plt.xticks(())
plt.yticks(())

plt.show()


    

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