I need to match the lists with appropriate indexes alone. There are 5 lists, one will be main list. List1/List2 will be combined together same way List3/List4. List1/List3 index will be available in main_list. List2 / List4 need to match with appropriate index in main_list
main_list = ['munnar', 'ooty', 'coonoor', 'nilgri', 'wayanad', 'coorg', 'chera', 'hima']
List1 = ['ooty', 'coonoor', 'chera']
List2 = ['hill', 'hill', 'hill']
List3 = ['nilgri', 'hima', 'ooty']
List4 = ['mount', 'mount', 'mount']
df = pd.DataFrame(dict(Area=main_list))
df1 = pd.DataFrame(
list(zip(List1, List2)),
columns=('Area', 'Content')
)
df2 = pd.DataFrame(
list(zip(List3, List4)),
columns=('Area', 'cont')
)
re = pd.concat([df, df1, df2], ignore_index=True, sort=False)
Output:
Area Content cont
0 munnar NaN NaN
1 ooty NaN NaN
2 coonoor NaN NaN
3 nilgri NaN NaN
4 wayanad NaN NaN
5 coorg NaN NaN
6 chera NaN NaN
7 hima NaN NaN
8 ooty hill NaN
9 coonoor hill NaN
10 chera hill NaN
11 nilgri NaN mount
12 hima NaN mount
13 ooty NaN mount
Expected Output:
Area Content cont
0 munnar NaN NaN
1 ooty hill mount
2 coonoor hill NaN
3 nilgri NaN mount
4 wayanad NaN NaN
5 coorg NaN NaN
6 chera hill NaN
7 hima NaN mount
IIUC set_index
before concat
pd.concat([df.set_index('Area'), df1.set_index('Area'), df2.set_index('Area')],1).reset_index()
Out[312]:
index Content cont
0 chera hill NaN
1 coonoor hill NaN
2 coorg NaN NaN
3 hima NaN mount
4 munnar NaN NaN
5 nilgri NaN mount
6 ooty hill mount
7 wayanad NaN NaN
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