The provided code is written in Python and utilizes the pandas library for data manipulation. It appears to be designed to extract relevant information from a dataset, specifically extracting “QID” values based on certain conditions.

Here’s a breakdown of what each part does:

1. getquestions(r):

   • This function takes a row r from the DataFrame as input.
   • It uses collections.Counter to count the occurrences of each value in the ‘Questions’ column starting from the fourth element (index 3).
   • It filters out values that occur less than three times, since we’re interested in repeated questions.
   • If there are no repeated questions, it returns the original row without modification.
   • Otherwise, it identifies the repeated questions and adds them to a new list called questions.
   • After processing all rows with repeated questions, it modifies each row by appending the repeated questions to its ‘Questions’ column. However, if a question is already in the form of a list, it appends the repeated question as a string instead.
   • Finally, it replaces any empty strings in the ‘Questions’ column with np.nan (not a number) and returns the modified row.

2. fixqid(c):

   • This function takes a sequence or iterable c as input and returns a new list where each element is an identifier.
   • It iterates over the elements of c, creating sub-identifiers by appending an incremental count to the current identifier.
   • If this is the first time it encounters the current identifier, it simply appends it to the list; otherwise, it appends a new identifier with the same value but appended with a suffix.

The code modifies the DataFrame by applying getquestions(r) and then fixqid(df["QID"].values), which extracts the ‘QID’ values from the modified DataFrame. The output is shown as:

     QID Questions
0  1177.0       [...
1  1177R.0    [...
2  1178.0         ...
3  1179.0         ...
4  117A.0         ...
5  117B.0         ...
6  117C.0         ...
7  117D.0         ...
8  117E.0         ...
9  117F.0         ...

Note that the output is truncated to show only a few rows due to space limitations.

Last modified on 2024-08-30