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@matsuken92
Created May 5, 2016 11:12
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trial_num = 10000
x = rd.multinomial(1, [1/6]*6, trial_num)
result = np.sum(x, axis=0)
data = np.array([result, np.array([1/6]*6)*trial_num]).T
# Draw graph
df = pd.DataFrame(data, columns=["trial","theory"],index=range(1,7))
ax = df.plot.bar()
ax.set_ylim(0,2000)
ax.legend(loc='best')
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