How to fetch very particular elements from a list?

Question

I have a list of dataframes with different shapes, which is why I cant put the data into a 3-dimensional df or array.
Now I want to get some specific dataframes from that list in a new list now containing only the needed dfs.

list_of_df = [df1, df2, df3, ...]
index = [0,3,7,9,29,11,18,77,1009]
new_list = list_of_df[index]

the only way I can think of this is very unsexy:

new_list = []
for i in index:
   new_list.append(list_of_df[i])

is there some better solution or in general a more convenient way to store and access thousands of different dataframes?

Answer 1

您可以使用列表理解：

new_list = [df for (i, df) in enumerate(list_of_df) if i in index]

Answer 2

@Quang Hoang的答案解决了这个问题：

new_list = np.array(list_of_df)[index]