class_docstr: histogram for each variable in a segmented time series
  
  .. note:: this feature is expensive to compute with the current implementation
class_docstr_tok: ["histogram","for","each","variable","in","a","segmented","time","series","..","note",":",":","this","feature","is","expensive","to","compute","with","the","current","implementation"]
code: def __repr__(self):
      return "%s(bins=%s)" % (self.__class__.__name__, self.bins)
  
imports: import numpy
  from scipy import stats
label_desc: Use image node_id 3 for calling the hist obj's underlying member method code with example usage: obj.__repr__() and returns: unknown