我有一个df,其中一栏的值是值的列表。
我的意图是使用此处的某种技术来拆分此列:Pandas将列表的列拆分为多个列
但是,对于列名,我想使用这些值列表中的每个唯一值。
为了检索唯一值,我尝试了三种不同的方法。每个失败都有不同的原因。
当值是值列表时,是否可以获取Series.unique()?
我的三个尝试以及相关的回溯:
1)
unique_vals = splitted_interests.unique()
Traceback (most recent call last):
File "C:/Users/Mark/PycharmProjects/main/main.py", line 68, in <module>
unique_vals = splitted_interests.unique()
File "C:\Users\Mark\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\series.py", line 1991, in unique
result = super().unique()
File "C:\Users\Mark\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\base.py", line 1405, in unique
result = unique1d(values)
File "C:\Users\Mark\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\algorithms.py", line 405, in unique
uniques = table.unique(values)
File "pandas/_libs/hashtable_class_helper.pxi", line 1767, in pandas._libs.hashtable.PyObjectHashTable.unique
File "pandas/_libs/hashtable_class_helper.pxi", line 1718, in pandas._libs.hashtable.PyObjectHashTable._unique
TypeError: unhashable type: 'list'
2)
unique_vals = splitted_interests.apply(lambda x: x.unique())
Traceback (most recent call last):
File "C:/Users/Mark/PycharmProjects/main/main.py", line 68, in <module>
unique_vals = splitted_interests.apply(lambda x: x.unique())
File "C:\Users\Mark\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\series.py", line 4045, in apply
mapped = lib.map_infer(values, f, convert=convert_dtype)
File "pandas/_libs/lib.pyx", line 2228, in pandas._libs.lib.map_infer
File "C:/Users/Mark/PycharmProjects/main/main.py", line 68, in <lambda>
unique_vals = splitted_interests.apply(lambda x: x.unique())
AttributeError: 'list' object has no attribute 'unique'
3)
unique_vals = splitted_interests.apply(lambda x: [y.unique() for y in x])
Traceback (most recent call last):
File "C:\Users\Mark\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\series.py", line 4045, in apply
mapped = lib.map_infer(values, f, convert=convert_dtype)
File "pandas/_libs/lib.pyx", line 2228, in pandas._libs.lib.map_infer
File "C:/Users/Mark/PycharmProjects/main/main.py", line 68, in <lambda>
unique_vals = splitted_interests.apply(lambda x: [y.unique() for y in x])
File "C:/Users/Mark/PycharmProjects/main/main.py", line 68, in <listcomp>
unique_vals = splitted_interests.apply(lambda x: [y.unique() for y in x])
AttributeError: 'str' object has no attribute 'unique'
对于相同的顺序,请创建字典和extract keys
,在python 3.6+中运行的解决方案:
df = pd.DataFrame({'JobRoleInterest':['aa,ss,ss','dd,ff','k,dd,dd,dd', 'j,gg']})
splitted_interests = df['JobRoleInterest'].str.split(',')
unique_vals = list(dict.fromkeys([y for x in splitted_interests for y in x]).keys())
print (unique_vals)
['aa', 'ss', 'dd', 'ff', 'k', 'j', 'gg']
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