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I have two dataframes:
df1 : here index is ip
accountname name
ip
192.168.1.1 aaaa john doe
192.168.1.2 bbbb jane doe
df2 : index is accountname
gsm
accountname
aaaa 850
bbbb 860
cccc 870
I have to combine two dataframe and add gsm column to df1.
ip accountname name gsm
0 192.168.1.1 aaaa john doe 850
1 192.168.1.2 bbbb jane doe 860
These dataframes has different indexes and I couldnt reach right data. any advice would be appreciated.
551
merge() function to join the two data frames by inner join. Now, add a suffix called 'remove' for newly joined columns that have the same name in both data frames. Use the drop() function to remove the columns with the suffix 'remove'. This will ensure that identical columns don't exist in the new dataframe.
To concatenate DataFrames, use the concat() method, but to ignore duplicates, use the drop_duplicates() method.
It can be done using the merge() method. Below are some examples that depict how to merge data frames of different lengths using the above method: Example 1: Below is a program to merge two student data frames of different lengths.
You could use merge with index as well.
In [2313]: df1.merge(df2, left_on='accountname', right_index=True).reset_index()
Out[2313]:
ip accountname name gsm
0 192.168.1.1 aaaa john doe 850
1 192.168.1.2 bbbb jane doe 860
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