[Python] Convert a column containing a single value to row in python pandas

Consider the following dataframe example:

maturity_date simulation simulated_price realized_price
30/06/2010 1 0.539333333 0.611
30/06/2010 2 0.544 0.611
30/06/2010 3 0.789666667 0.611
30/06/2010 4 0.190333333 0.611
30/06/2010 5 0.413666667 0.611


Apart from setting aside the value of the last column and concatenating, is there any other way to adjust the dataframe such that the last column becomes row?

Here is the desired output:

maturity_date simulation simulated_price
30/06/2010 1 0.539333333
30/06/2010 2 0.544
30/06/2010 3 0.789666667
30/06/2010 4 0.190333333
30/06/2010 5 0.413666667
30/06/2010 realized_price 0.611

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