pat2vec.pat2vec_search.data_helper_functions

Functions

`appendAge`(dataFrame)	Calculates current age and appends it as a new 'age' column.
`appendAgeAtRecord`(dataFrame)	Calculates age at the time of record and appends it as 'ageAtRecord'.
`append_age_at_record_series`(series)	Calculates age at record time for a single row (passed as a Series).
`df_column_uniquify`(df)	Ensures all column names in a DataFrame are unique.

pat2vec.pat2vec_search.data_helper_functions.appendAge(dataFrame)[source]

Calculates current age and appends it as a new ‘age’ column.

Parameters:: dataFrame (DataFrame) – A DataFrame containing a ‘client_dob’ column with date of birth strings.
Return type:: DataFrame
Returns:: The DataFrame with an added ‘age’ column.

pat2vec.pat2vec_search.data_helper_functions.appendAgeAtRecord(dataFrame)[source]

Calculates age at the time of record and appends it as ‘ageAtRecord’.

Parameters:: dataFrame (DataFrame) – A DataFrame with ‘client_dob’ and ‘updatetime’ columns.
Return type:: DataFrame
Returns:: The DataFrame with an added ‘ageAtRecord’ column.

pat2vec.pat2vec_search.data_helper_functions.append_age_at_record_series(series)[source]

Calculates age at record time for a single row (passed as a Series).

Parameters:: series (Series) – A pandas Series representing a single row, containing ‘client_dob’ and ‘updatetime’.
Return type:: Series
Returns:: The input Series with an added ‘age’ value.

pat2vec.pat2vec_search.data_helper_functions.df_column_uniquify(df)[source]

Ensures all column names in a DataFrame are unique.

If duplicate column names are found, they are made unique by appending a suffix (e.g., ‘col_1’, ‘col_2’).