我有以下数据框
Index education marital-status occupation gender target
0 bachelors never-married adm-clerical male 0
1 bachelors spouse exec-managerial male 0
2 hs-grad divorced handlers-cleaners male 0
3 11th spouse handlers-cleaners male 0
4 bachelors spouse prof-specialty female 0
5 masters spouse exec-managerial female 0
6 other other other-service female 0
7 hs-grad spouse exec-managerial male 1
8 masters never-married prof-specialty female 1
9 bachelors spouse exec-managerial male 1
有人可以向我解释为什么以下内容不起作用 - 从我阅读的内容和我所看到的应用来看,我觉得应该是这样。
def new_features(education, gender, target):
if [((education == 'bachelors') & (gender == 'male') & (target == 1))]:
result = 'educated_male_convert'
elif [((education == 'bachelors') & (gender == 'female') & (target == 1))]:
result = 'educated_female_convert'
else:
result = 'educated_not_determined'
return result
df['new_col'] = df.apply(lambda row: new_features(row['education'], row['gender'], row['target']), axis=1)
它只是返回:educated_male_convert
我遵循了大量教程并阅读了其他线程并将相同的代码应用于我自己的数据集 - 不确定我遗漏了什么。
任何帮助将不胜感激
请您参考如下方法:
问题是您将 if 条件放在方括号中。因此,代码不是测试表达式 if False: ...,而是实际测试 if [False]: ...。由于任何非空列表的计算结果为 True,因此 [False] 将被计算为 True,并且代码会转到错误的分支。
