您可以使用 np.split ，它接受在哪里分割的索引数组：

You can use np.split which accepts an array of indices where to split:

np.split(df, *np.where(df.BOOL == 1))

如果要在前一个数据框中包含 BOOL == 1 的行，则只需添加1到所有索引：

If you want to include the rows with BOOL == 1 to the previous data frame you can just add 1 to all the indices:

np.split(df, np.where(df.BOOL == 1)[0] + 1)