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dataframe_generation_extensions

Additional functionality for DataFrame processing.

Provides functions that can be used for additional column generation.

Module​

Functions​

generate_bitfount_patient_id​

def generate_bitfount_patient_id(    df: pd.DataFrame,    name_col: str = "Patient's Name",    dob_col: str = "Patient's Birth Date",) ‑> pandas.core.frame.DataFrame:

Adds a BitfountPatientID column to the provided DataFrame.

This mutates the input dataframe with the new column.

The generated IDs are the hash of the concatenated string of a Bitfount-specific key, full name, and date of birth.

id_safe_string​

def id_safe_string(s: str) ‑> str:

Converts a string to a normalised version safe for use in IDs.

In particular, converts accented/diacritic characters to their closest ASCII representation, ensures lowercase, and replaces any non-word characters with underscores.

This allows us to map potentially different spellings (e.g. Francois John-Smith vs François John Smith) to the same string (francois_john_smith).

Classes​

DataFrameExtensionError​

class DataFrameExtensionError(*args, **kwargs):

Indicates an error whilst trying to apply an extension function.

Ancestors​