Challenge: Summing and Swapping
In this challenge, pandas is used to sum the minimum and maximum values of the rows and columns of a DataFrame, which are then swapped.
We'll cover the following
Problem statement
We have to implement the function Sum_Swap(df)
. The df
is the DataFrame
on which operations will be performed. The task is to create a new column and a new row and then swap their values. The following steps are performed to calculate the values for the new row and column before swapping:

The sum of the minimum and maximum values of each row are calculated.

These values are assigned to the new column
row_sum
. 
The sum of the minimum and maximum value of each column are calculated.

These values are assigned to the new row
col_sum
. 
Finally, the new row and column values are swapped.
Input
The input to the function is a DataFrame
with random data. The following is just an example of what the input DataFrame
would look like.
0 1 2 3
0 12 2 3 44
1 40 1 34 9
2 6 99 56 69
3 2 24 4 71
Output
The output is a DataFrame
with a new row and column.
The following is an example of what the output of the above input DataFrame
would look like after summing and swapping the row and column.
0 1 2 3 row_sum
0 12 2 3 44 42
1 40 1 34 9 100
2 6 99 56 69 59
3 2 24 4 71 80
col_sum 46 41 105 73 NaN
Coding exercise
Write your code below. It is recommended that you try solving the exercise yourself before viewing the solution.
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