class_docstr: A stream for reducing multiple streams of the same type.
  
  Parameters
  ----------
  dtype : str, optional
      The data type of the aggregated stream.
class_docstr_tok: ["A","stream","for","reducing","multiple","streams","of","the","same","type",".","Parameters","--","--","--","--","--","dtype",":","str",",","optional","The","data","type","of","the","aggregated","stream","."]
docstr: Computes the reduced minimum of the input streams.
  
  Returns
  -------
  `Stream[T]`
      A reduced minimum stream.
docstr_tok: ["Computes","the","reduced","minimum","of","the","input","streams",".","Returns","--","--","--","-","`","Stream","[","T","]","`","A","reduced","minimum","stream","."]
code: def min(self) -> "Stream[T]":
      """Computes the reduced minimum of the input streams.
  
      Returns
      -------
      `Stream[T]`
          A reduced minimum stream.
      """
      return self.agg(np.min)
  
file_path: tensortrade/tensortrade/feed/api/generic/reduce.py
imports: from typing import List, Callable
  import numpy
  from tensortrade.feed.core.base import Stream, T
label_desc: Use image node_id 6 for calling the Reduce obj's underlying member method code with example usage: obj.min() and returns: self