用概率填写缺失值

建立

fruit = pd.Series(['banana'] * 57 + ['apple'] * 54 + [None] * 10, name='fruit')

运用 pd.Series.sample

nullfruit = fruit.isnull()
fruit.loc[nullfruit] = fruit.dropna().sample(nullfruit.sum()).values

使用np.random.choice和np.unique

nullfruit = fruit.isnull().values
u, c = np.unique(fruit.values[~nullfruit], return_counts=1)

fruit.loc[nullfruit] = np.random.choice(u, nullfruit.sum(), p=c / c.sum())