featuremapper/distribution.py
def counts(self):
        """
        Return a list of values.

        Various statistics can then be calculated if desired:

          sum(counts)  (total of all counts)
          max(counts)  (highest count in any feature_bin)

        Note that the feature_bin-order of values returned does not necessarily
        match that returned by values().
        """
        return list(self._counts.values())

        Return a list of values.

        Various statistics can then be calculated if desired:

          sum(counts)  (total of all counts)
          max(counts)  (highest count in any feature_bin)

        Note that the feature_bin-order of values returned does not necessarily
        match that returned by values().
        
Return a list of values.
Various statistics can then be calculated if desired.

sum(counts)  (total of all counts)
max(counts)  (highest count in any feature_bin)

Note that the feature_bin-order of values returned does not necessarily
match that returned by values().
Return a list of values . Various statistics can then be calculated if desired . sum ( counts ) ( total of all counts ) max ( counts ) ( highest count in any feature_bin ) Note that the feature_bin - order of values returned does not necessarily match that returned by values () .
def counts(self):
        return list(self._counts.values())
def counts ( self ) : return list ( self . _counts . values ( ) )
Return a list of values.
Return a list of values .
"""
        Return a list of values.

        Various statistics can then be calculated if desired:

          sum(counts)  (total of all counts)
          max(counts)  (highest count in any feature_bin)

        Note that the feature_bin-order of values returned does not necessarily
        match that returned by values().
        """
self