'Specify columns to output with Pandas Merge function
import pandas as pd
df1 = pd.DataFrame({'lkey': ['foo', 'bar', 'baz', 'foo'],
'value': [1, 2, 3, 5]})
df2 = pd.DataFrame({'rkey': ['dog', 'bar', 'baz', 'foo'],
'value': [5, 6, 7, 8],
'valuea': [9, 10, 11, 12],
'valueb': [13, 14, 15, 16]})
I would like to merge these 2 dataframes based on 'value'. However I don't want the result to give me all of the columns in df2. I would like to keep the one with the 'valuea' column header but not the one with 'valueb' column header as per the squared output in the image.
The code I have tried is
df1.merge(df2, on ='value')
Is there a way exclude column with header = valueb using parameters in the merge function?
Sources
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Source: Stack Overflow
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