python/datasources/cdc_restricted_local.py
def standardize_data(df):
    """Standardizes the data by cleaning string values and standardizing column
    names.

    df: Pandas dataframe to standardize.
    """
    # Clean string values in the dataframe.
    df = df.applymap(
        lambda x: x.replace('"', '').strip() if isinstance(x, str) else x)

    # Standardize column names.
    return df.rename(columns=COL_NAME_MAPPING)
Standardizes the data by cleaning string values and standardizing column
    names.

    df: Pandas dataframe to standardize.
    
Standardizes the data by cleaning string values and standardizing column
names.

Pandas dataframe to standardize.
Standardizes the data by cleaning string values and standardizing column names . Pandas dataframe to standardize .
def standardize_data(df):
    df = df.applymap(
        lambda x: x.replace('"', '').strip() if isinstance(x, str) else x)
    return df.rename(columns=COL_NAME_MAPPING)
def standardize_data ( df ) : df = df . applymap ( lambda x : x . replace ( '"' , '' ) . strip ( ) if isinstance ( x , str ) else x ) return df . rename ( columns = COL_NAME_MAPPING )
Standardizes the data by cleaning string values and standardizing column
names.
Standardizes the data by cleaning string values and standardizing column names .
"""Standardizes the data by cleaning string values and standardizing column
    names.

    df: Pandas dataframe to standardize.
    """ # Clean string values in the dataframe. # Standardize column names.
df