Dataframe

df["cancer"].value_counts().plot(kind='barh') df[["patient_id", "image_id"]].astype(str).apply(lambda x: 'data/rsna/'+'/'.join(x)+'.png', axis=1) list(mapping.keys())[list(mapping.values()).index(x)] ``

import logging from configs import LOGGER_NAME

logger = logging.getLogger(LOGGER_NAME) # pylint: disable=invalid-name

logger.info

Rows of a pandas dataframe df

def __len__(self) -> int:
        """Return the length of the dataset."""
        return len(self.df.index)

In [7]: timeit len(df.index)
1000000 loops, best of 3: 248 ns per loop

In [8]: timeit len(df)
1000000 loops, best of 3: 573 ns per loop