Eliminate first and last rows with value 0 from dataframe

I have a dataframe with a row with integers such as

 value
0
0
0
0
1
2
0
3
0
2
5
6
0
0
0

Is there a way that I can eliminate the first 0s and last 0s (but not the ones in the middle) to get

1
2
0
3
0
2
5
6

>Solution :

Create mask and filter all non 0 values after first match by Series.cummax and chain reversed order of condition for eliminate last 0 by & for bitwise AND with filter in boolean indexing:

m = df['value'].ne(0)
out = df[m.cummax() & m.iloc[::-1].cummax()]
print (out)
    value
4       1
5       2
6       0
7       3
8       0
9       2
10      5
11      6