IF else and for a single line loop

Question

I need to apply the else condition and the loop on the same line. I need to update “RL” and “RM” at the same time and update other values ​​as “Other”. How to do it? perhaps??

train['MSZoning']=['RL' if x=='RL' else 'Others' for x in train['MSZoning']]

Answer 1

Use numpy.where:

train['MSZoning'] = np.where(train['MSZoning'] == 'RM', 'RM', 'Others')

If you need to update everything without RMand RL, use isinwith an inverted boolean mask to ~:

train = pd.DataFrame({'MSZoning':['RL'] *3 + ['qa','RM','as']})
train.loc[~train['MSZoning'].isin(['RM','RL']), 'MSZoning'] =  'Others'

print (train)
  MSZoning
0       RL
1       RL
2       RL
3   Others
4       RM
5   Others

Delay

train = pd.DataFrame({'MSZoning':['RL'] *3 + ['qa','RM','as']})
#[60000 rows x 1 columns]
train = pd.concat([train] * 10000, ignore_index=True)

In [202]: %timeit train.loc[~train['MSZoning'].isin(['RM','RL']), 'MSZoning'] =  'Others'
5.82 ms ± 447 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)

In [203]: %timeit train['MSZoning'] = train['MSZoning'].apply(lambda x: x if x in ('RM', 'RL') else 'Others')
15 ms ± 584 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)

Answer 2

So, if you want to save RMand RL, and others - Othersyou can use:

train['MSZoning'] = train['MSZoning'].apply(lambda x: x if x in ('RM', 'RL') else 'Others')