Use isin
on the index and invert the boolean index to perform label selection:
In [239]:
df = pd.DataFrame({'a':np.random.randn(5)})
df
Out[239]:
a
0 -0.548275
1 -0.411741
2 -1.187369
3 1.028967
4 -2.755030
In [240]:
t = [2,4]
df.loc[~df.index.isin(t)]
Out[240]:
a
0 -0.548275
1 -0.411741
3 1.028967