code: def deletecols(X, cols):
      
      if isinstance(cols, str):
          cols = cols.split(',')
      retain = [n for n in X.dtype.names if n not in cols]
      if len(retain) > 0:
          return X[retain]
      else:
          return None
docs: Delete columns from a numpy ndarry or recarray.
  
      Can take a string giving a column name or comma-separated list of column 
      names, or a list of string column names.
  
      Implemented by the tabarray method 
      :func:`tabular.tab.tabarray.deletecols`.
  
      **Parameters**
  
              **X** :  numpy recarray or ndarray with structured dtype
  
                      The numpy array from which to delete columns.
  
              **cols** :  string or list of strings
  
                      Name or list of names of columns in `X`.  This can be
                      a string giving a column name or comma-separated list of 
                      column names, or a list of string column names.
  
      **Returns**
  
              **out** :  numpy ndarray with structured dtype
  
                      New numpy ndarray with structured dtype
                      given by `X`, excluding the columns named in `cols`.