code: def combine_counts(
      fns,
      define_sample_name=None,
  ):
      
      counts = []
      for fn in fns:
          df = pd.read_table(fn, skiprows=1, index_col=0)
          counts.append(df[df.columns[-1]])
      combined_counts = pd.DataFrame(counts).T
      if define_sample_name:
          names = [define_sample_name(x) for x in fns]
          combined_counts.columns = names
      combined_counts.index.name = ''
      return combined_counts
docs: Combine featureCounts output files for multiple samples.
  
      Parameters
      ----------
      fns : list of strings 
          Filenames of featureCounts output files to combine.
  
      define_sample_name : function
          A function mapping the featureCounts output filenames to sample names.
          If this is not provided, the header of the last column in the
          featureCounts output will be used as the sample name.
  
      Returns
      -------
      combined_counts :  pandas.DataFrame
          Combined featureCount counts.