text: import numpy as np
  
  class Sampling():
      def __init__(self, column):
          self.column = column
          self.n = column.size
  
      def next(self, size=None):
          q = np.random.randint(0, 101, size=size)
          if(q is np.array):
              return map(lambda weight: np.percentile(self.column, weight), q)
          else:
              return np.percentile(self.column, q)
  