def getUniqCountries(df):
    """
    >>> df = pd.read_csv(r'../data.csv')
    >>> getUniqCountries(df)
    ['Angola', 'Aruba', 'Belize', 'Benin', 'Bhutan', 'Brazil', 'Chad', 'Chile', 'China', 'Cuba', 'Egypt', 'Fiji', 'Gabon', 'Ghana', 'Guam', 'Haiti', 'India', 'Iran', 'Iraq', 'Italy', 'Japan', 'Kenya', 'Laos', 'Libya', 'Macao', 'Mali', 'Malta', 'Nepal', 'Niger', 'Oman', 'Peru', 'Qatar', 'Spain', 'Sudan', 'Syria', 'Togo', 'Yemen']

    """
    # getting a unique list of the countries
    countries_uniq_list = df.geo_country.unique().tolist()
    # delete the "nan"
    del countries_uniq_list[0]
    # sort list alphabatically
    return sorted(countries_uniq_list)