class_docstr: A sequence that also defines a shape attribute. This indexable data structure
  can be provided as input to ivis.
class_docstr_tok: ["A","sequence","that","also","defines","a","shape","attribute",".","This","indexable","data","structure","can","be","provided","as","input","to","ivis","."]
docstr: Returns the shape of the dataset. First dimension corresponds to rows,
  the other dimensions correspond to features.
docstr_tok: ["Returns","the","shape","of","the","dataset",".","First","dimension","corresponds","to","rows",",","the","other","dimensions","correspond","to","features","."]
code: def shape(self):
      """Returns the shape of the dataset. First dimension corresponds to rows,
      the other dimensions correspond to features."""
      raise NotImplementedError
  
imports: from abc import abstractmethod
  from collections.abc import Sequence
label_desc: Use image node_id 1 for calling the IndexableDataset obj's underlying member method code with example usage: obj.shape() without return types