code: def count_features_type(features):
          
      counter={k.name: v for k, v in features.columns.to_series().groupby(features.dtypes)}
      binary=0
      if ('int64' in counter):
          binary=len(set(features.loc[:, (features<=1).all(axis=0)].columns.values) 
                  & set(features.loc[:, (features>=0).all(axis=0)].columns.values) 
                  & set(counter['int64']))    
      return (binary,len(counter['int64'])-binary if 'int64' in counter else 0,len(counter['float64']) if 'float64' in counter else 0)
docs: Counts three different types of features (float, integer, binary).
      :param features: pandas.DataFrame
          A dataset in a panda's data frame
      :returns a tuple (binary, integer, float)