hasIdentifier: | https://padme-analytics.de/pht/codeFragment/37b348693410440479a3c2cf9a39e6f1562524c6d84adbe493fecdda9eac393f |
hasContent: | age_df = age_df.apply(lambda row: replace_age(row), axis=1).rename(columns={0:'MEL', 1:'NV', 2:'BCC', 3:'AK', 4:'BKL', 5:'DF', 6:'VASC', 7:'SCC', 8:'age'}).drop(['age'], axis=1) |