pandas:output 两列字符串列表的差异

Question

我有一个包含两列的数据框，如下所示：

df = pd.DataFrame({'pos_1':[['VERB', 'PRON', 'DET', 'NOUN', 'ADP'],['NOUN', 'PRON', 'DET', 'NOUN', 'ADV', 'ADV']],
               'pos:2':[['VERB', 'PRON', 'DET', 'NOUN', 'ADP'],['VERB', 'PRON', 'DET', 'NOUN', 'ADV', 'ADV']]})

我正在尝试使用 apply 输出这两列之间的差异。

df['diff'] = df.apply(lambda x: [i for i in x['pos_1'] if i not in x['pos_2']], axis=1)

我想要的 diff 列输出应该是：

diff
1 []
2 ['NOUN','VERB']

但我在 diff 列中得到了两个空列表。我不知道我哪里做错了

Answer 1

如果需要比较两个列表元素明智和 return 差异使用 zip 比较每对并最后通过嵌套列表理解将其展平：

f = lambda x: [z for i, j in zip(x['pos_1'],x['pos_2']) if i != j for z in [i, j]]
df['diff'] = df.apply(f, axis=1)
print (df)

                               pos_1                              pos_2  \
0       [VERB, PRON, DET, NOUN, ADP]       [VERB, PRON, DET, NOUN, ADP]   
1  [NOUN, PRON, DET, NOUN, ADV, ADV]  [VERB, PRON, DET, NOUN, ADV, ADV]   

           diff  
0            []  
1  [NOUN, VERB]

pandas:output 两列字符串列表的差异

pandas:output differences between two columns of lists of strings

python

string

list

pandas

difference