import pandas as pd

import numpy as np

l = [0, 11, 23, 33, 0, 0, 0, 76, 0, 41, 68]

df = pd.DataFrame({'A': l})

df['block'] = (df['A'] == 0).astype(int).cumsum()  # 对等于0的进行累加计算。

df = df.reset_index()

df = df[df.A != 0]  # 删除掉为0 的 元素

print(l)

print df.groupby(['block'])['index'].apply(np.array).tolist()

结果：

    [0, 11, 23, 33, 0, 0, 0, 76, 0, 41, 68]

    [array([1, 2, 3]), array([7]), array([ 9, 10])]