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Subtract Two Pandas Data Frames with Common Column Names
I have two Data Frames:
df1 = pd.DataFrame({'a': [1, 2, 3, 4, 5], 'b': [1, 3, 4, 1, 3]})
df2 = pd.DataFrame({'b': [1, 3, 1, 1, 4]})
I would like to subtract the two data frames with the common column name being 'a', and save the resultant in a new Data Frame with the column names 'a' and 'b'.
So the resultant Data Frame should be:
pd.DataFrame({'a': [1, 2, 3, 4, 5], 'b': [0, 3, 4, 0, 1]})
A:
Use merge with filtering by same columns names - not necessary select only columns you need with iloc, so working with None is safe:
df1.merge(df2.loc[:, None], on='a', how='left')
    a    b
0   1    0
1   2    3
2   3    4
3   4    0
4   5    1
If want also rename columns and avoid NaNs:
df1 = df1.rename(columns=lambda x: x.split('.')[0], inplace=True)
df1.merge(df2.loc[:, None], on='a', how='left')
    a    b
0   1    0
1   2    3
2   3    4
3   4    0
4   5    1
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The optimal temperature for photosynthesis in plants is generally considered to be 20-25°C. This study is aimed at determining the photosynthetic capacity and
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