Shift column in dataframe without deleting one

Here is my dataframe:

And I want this output :

I tried this code :
df.shift(-1, axis=1)

The fact is, is there a way to keep the first column not modified ?

>Solution :

Be explicit, chose the columns to affect and reassign (or update):

df[['B', 'C']] = df[['B', 'C']].shift(-1, axis=1, fill_value='')

Or:

cols = ['B', 'C']
df[cols] = df[cols].shift(-1, axis=1, fill_value='')

# or
# df.update(df[cols].shift(-1, axis=1, fill_value=''))

Output:

        A             B C
0   First  row to shift  
1  Second  row to shift  

You can do the same per index/column:

cols = ['B', 'C']
idx = [1]
df.loc[idx, cols] = df.loc[idx, cols].shift(-1, axis=1, fill_value='')

# or
# df.update(df.loc[idx, cols].shift(-1, axis=1, fill_value=''))

Output:

        A             B    C
0   First           row  row
1  Second  row to shift