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 __init__(self, bins=4):
      if bins < 2:
          raise ValueError("hist requires bins >= 2")
      self.bins = bins
  
imports: import numpy
  from scipy import stats
label_desc: Use image node_id 1 to create a new hist object from inherited base classes: object with example: obj = hist(bins)