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Accessing elements of a dataframe from within a function

I am writing a function that creates a new dataframe that is the result of performing a join between two existing dataframes. I then compare that new dataframe to an existing one (in my real code, the dataframes are much larger, and I only need to check if their contents are equal).
In the example below, I want to perform a join and then check for equality:
df = pd.DataFrame(np.arange(20).reshape(5, 4))
df = df.join(df)
df = df.where(df.loc[:,’A’]==df.loc[:,’B’])

In this example I’d like to find the new dataframe created by the join operation, which is df, and then check for equality with the existing dataframe, df2, but in my real application there are many more columns. So the elements I’d like to access are either the entire dataframe as a whole, or the entire columns.
In the example above, I would like to use something like df.get_level_values(0) or df.loc[:,:]. What is the most efficient/elegant way to implement this?

A:

You can achieve it by indexing the original df with *:
df.loc[:, *df.columns]
Out:
A B C D
0 0 0 0 0
1 0 0 1 1
2 0 1 2 2
3 1 2 3 3
4 2 3 4 4

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