Question

需要匹配具有适当值的列表，我能够匹配两个列表，但是这里涉及三个列表。

# **Main List**
main_list = ['munnar', 'ooty', 'coonoor', 'nilgri', 'wayanad', 'coorg', 'chera', 'hima']

# **List1**
List1 = ['ooty', 'coonoor', 'chera']

# **List2**
List2 = ['hill', 'hill', 'hill']

# **List3**
List3 = ['nilgri', 'hima']

# **List4**
List4 = ['mount', 'mount']

List1属于List2，同一个List3属于List4，

我可以使用列表理解功能将List1与List2和List3与List4匹配

pd.DataFrame(
    list(zip(List1, List2)),
    columns=('Area', 'Content')
)

Area    Content
ooty    hill
coonoor hill
chera   hill

和

pd.DataFrame(
    list(zip(List3, List4)),
    columns=('Area', 'Content')
)


Area    Content
nilgri  mount
hima    mount

List1和List3在主列表中可用，现在必须匹配List2和主列表中的List4。如果不匹配，则需要具有NA 期望使用熊猫低于产量。

Area    Content
munnar  NA
ooty    hill
coonoor hill
nilgri  mount
wayanad NA
coorg   NA
chera   hill
hima    mount

请帮助!!!

Answer 1

只需在reindex之后df1和df2之后进行concat

df=pd.concat([df1,df2]).set_index('Area').reindex(mainlist).reset_index()
df
Out[91]: 
      Area Content
0   munnar     NaN
1     ooty    hill
2  coonoor    hill
3   nilgri   mount
4  wayanad     NaN
5    coorg     NaN
6    chera    hill
7     hima   mount

Answer 2

main_list = ['munnar', 'ooty', 'coonoor', 'nilgri', 'wayanad', 'coorg', 'chera', 'hima']

list1 = ['ooty', 'coonoor', 'chera']
list2 = ['hill', 'hill', 'hill']
list3 = ['nilgri', 'hima']
list4 = ['mount', 'mount']

df = pd.DataFrame(dict(Area=main_list))

df.assign(Content=df.Area.map(dict([*zip(list1, list2), *zip(list3, list4)])))


      Area Content
0   munnar     NaN
1     ooty    hill
2  coonoor    hill
3   nilgri   mount
4  wayanad     NaN
5    coorg     NaN
6    chera    hill
7     hima   mount

Python匹配列表和适当的列表

2 个答案: