How To Merge Two Data Frame By Column Names Python

I have two data frame, one looks like this (shape: 12553*83): A12D A131 A12B ... 0 1.096131 2.609943 -0.659828 1 1.111370 2.650422 -0.648742 ..

Solution 1:

As @sushanth noted, use pd.concat() -- with join='inner'. Here is an example:

import pandas as pd
df1 = pd.DataFrame({'a': [1, 2, 3], 
                    'b': [4, 5, 6], 
                    'c': [7, 8, 9]})
df2 = pd.DataFrame({'b': [11, 12, 13], 
                    'c': [14, 15, 16], 
                    'd': [17, 18, 19]})
t = pd.concat([df1, df2], axis=0, join='inner')
print(t)

    b   c
047158269011141121521316

More info here:

• https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.concat.html
• https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html

Solution 2:

Okay problems solved! Thanks to everyone's kind help! I first removed duplicate columns, then concated two tables. Like

df1 = df1.loc[:,~df1.columns.duplicated()]

merged = pd.concat([df1,df2],join='inner')