Select the inverse index in pd.Dataframe

Use difference:

df.loc[df.index.difference(my_index),my_feature]

Alternatively numpy.setdiff1d:

df.loc[np.setdiff1d(df.index, my_index),my_feature]

Sample:

my_index = [5,7]
df = pd.DataFrame({'A': ['a','a','a','b'], 'B': list(range(4)) }, index=[5,7,8,9])
print (df)
   A  B
5  a  0
7  a  1
8  a  2
9  b  3

print(df.loc[df.index.difference(my_index),'A'])
8    a
9    b
Name: A, dtype: object

Assuming my_index are the row indices you want to ignore, you could drop these where they exist in the dataframe df:

df = df.drop(my_index, errors='ignore')

You may take advantage of index.difference.

idx2 = df.index.difference(my_index)

Or, set.difference

idx2 = set(df.index).difference(my_index) # note, order not guaranteed

df.loc[idx2, ...]