Ane*_*esh 4 python-3.x pandas scikit-learn sklearn-pandas
我需要在单行中应用 if else 条件和 for 循环。我需要一次更新“RL”和“RM”并将其他值更新为“其他”。怎么做??。有可能吗??
train['MSZoning']=['RL' if x=='RL' else 'Others' for x in train['MSZoning']]
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使用numpy.where:
train['MSZoning'] = np.where(train['MSZoning'] == 'RM', 'RM', 'Others')
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如果需要通过以下方式更新所有内容RM并RL使用isin反转布尔掩码~:
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
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时间:
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)
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