In this thread, we want to retrieve the value that is ranked n’th highest in a specific column of a Pandas DataFrame. We use this operation in Pandas to identify the value(s) with the highest or lowest rank in a dataset, which can be useful for various data analysis tasks such as identifying outliers, finding the top or bottom performers, and computing summary statistics.

Inorder to get the n’th largest value of a column when grouped by another column in Pandas, there are various methods available. Here are some of the most common ones:

1. Using "groupby()" and "nth()":

The `groupby()` function in Pandas is used to group data by one or more columns. The nth() function is used to get the `nth` value in a column. Here is an example code to get the second largest value of a column when grouped by another column.

Example:

2. Using "nlargest()" and "groupby()":

The `nlargest()` function in Pandas is used to get the n largest values in a column. Here is an example code to get the second largest value of a column when grouped by another column using nlargest() and groupby().

Example:

3. Using "sort_values()" and "groupby()":

Another method to get the n'th largest value of a column when grouped by another column in Pandas is to sort the DataFrame by the column of interest, and then use the `groupby()` function to group the sorted DataFrame by another column. Here is an example code to get the second largest value of a column when grouped by another column using sort_values() and groupby().