[WIP] Add a function to recode question IDs.

master
junos 2023-07-03 19:57:28 +02:00
parent 2aca64aa09
commit ec51d7d406
1 changed files with 46 additions and 0 deletions

View File

@ -1,3 +1,8 @@
import pandas as pd
COPE_ORIGINAL_MAX = 4
COPE_ORIGINAL_MIN = 1
dict_COPE_question_ids = {
164: (
"I took additional action to try to get rid of the problem",
@ -120,3 +125,44 @@ dict_COPE_question_ids = {
"Razburil sem se in razmišljal samo o tem",
),
}
def reassign_question_ids(df_cope_cleaned: pd.DataFrame) -> pd.DataFrame:
df_esm_cope_unique_questions = (
df_cope_cleaned.groupby("question_id")
.esm_instructions.value_counts()
.rename()
.reset_index()
)
# Tabulate all possible answers to each question (group by question ID).
df_cope_fixed = df_cope_cleaned.copy()
for q_id in dict_COPE_question_ids.keys():
# Look for all questions ("instructions") occurring in the dataframe.
actual_questions = df_esm_cope_unique_questions.loc[
df_esm_cope_unique_questions["question_id"] == q_id,
"esm_instructions",
]
# These are all answers to a given question (by q_id).
questions_matches = actual_questions.str.startswith(
dict_COPE_question_ids.get(q_id)
)
# See if they are expected, i.e. included in the dictionary.
if ~actual_questions.all():
print("One of the questions that occur in the data was undefined.")
print("This were the questions found in the data: ")
raise KeyError(actual_questions[~questions_matches])
# In case there is an unexpected answer, raise an exception.
try:
df_cope_fixed = df_cope_fixed.assign(
esm_user_score=lambda x: x.esm_user_answer_numeric + 1
)
# Increment the original answer by 1
# to keep in line with traditional scoring
# (from COPE_ORIGINAL_MIN - COPE_ORIGINAL_MAX).
except AttributeError as e:
print("Please, clean the dataframe first using features.esm.clean_up_esm.")
print(e)
return df_cope_fixed