python/pymethylprocess/MethylationDataTypes.py
def categorical_breakdown(self, key):
        """Print categorical distribution, counts for each unique value in phenotype column.

        Parameters
        ----------
        key
            Phenotype Column.
        """
        from collections import Counter
        print('\n'.join(['{}:{}'.format(k,v) for k,v in Counter(self.pheno[key].values).items()]))
Print categorical distribution, counts for each unique value in phenotype column.

        Parameters
        ----------
        key
            Phenotype Column.
        
Print categorical distribution, counts for each unique value in phenotype column.
Parameters

key
Phenotype Column.
Print categorical distribution counts for each unique value in phenotype column . Parameters key Phenotype Column .
def categorical_breakdown(self, key):
        from collections import Counter
        print('\n'.join(['{}:{}'.format(k,v) for k,v in Counter(self.pheno[key].values).items()]))
def categorical_breakdown ( self , key ) : from collections import Counter print ( '\n' . join ( [ '{}:{}' . format ( k , v ) for k , v in Counter ( self . pheno [ key ] . values ) . items ( ) ] ) )
Print categorical distribution, counts for each unique value in phenotype column.
Print categorical distribution counts for each unique value in phenotype column .
"""Print categorical distribution, counts for each unique value in phenotype column.

        Parameters
        ----------
        key
            Phenotype Column.
        """
self
key