docstr: ivy.Container static method variant of ivy.corrcoef. This method
  simply wraps the function, and so the docstring for ivy.corrcoef also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  x
      Input container including arrays.
  y
      An additional input container.
  rowvar
      If rowvar is True (default), then each row represents a variable, with
      observations in the columns. Otherwise, the relationship is transposed:
      each column represents a variable, while the rows contain observations.
  
  Returns
  -------
  ret
      The corrcoef of the array elements in the container.
  
  Examples
  --------
  >>> a = ivy.Container(w=ivy.array([[1., 2.], [3., 4.]]),                                  z=ivy.array([[0., 1., 2.], [2., 1., 0.]]))
  >>> ivy.Container.corrcoef(a)
  {
      w: ivy.array([[1., 1.],
                    [1., 1.]]),
      z: ivy.array([[1., -1.],
                    [-1., 1.]])
  }
docstr_tok: ["ivy.Container","static","method","variant","of","ivy.corrcoef",".","This","method","simply","wraps","the","function",",","and","so","the","docstring","for","ivy.corrcoef","also","applies","to","this","method","with","minimal","changes",".","Parameters","--","--","--","--","--","x","Input","container","including","arrays",".","y","An","additional","input","container",".","rowvar","If","rowvar","is","True","(","default",")",",","then","each","row","represents","a","variable",",","with","observations","in","the","columns",".","Otherwise",",","the","relationship","is","transposed",":","each","column","represents","a","variable",",","while","the","rows","contain","observations",".","Returns","--","--","--","-","ret","The","corrcoef","of","the","array","elements","in","the","container",".","Examples","--","--","--","--",">",">",">","a","=","ivy.Container","(","w=ivy.array","(","[","[","1.",",","2",".","]",",","[","3.",",","4",".","]","]",")",",","z=ivy.array","(","[","[","0.",",","1.",",","2",".","]",",","[","2.",",","1.",",","0",".","]","]",")",")",">",">",">","ivy.Container.corrcoef","(","a",")","{","w",":","ivy.array","(","[","[","1.",",","1",".","]",",","[","1.",",","1",".","]","]",")",",","z",":","ivy.array","(","[","[","1.",",","-1",".","]",",","[","-1.",",","1",".","]","]",")","}"]
code: def static_corrcoef(
      x: ivy.Container,
      /,
      *,
      y: Optional[ivy.Container] = None,
      rowvar: Union[bool, ivy.Container] = True,
      key_chains: Optional[
          Union[List[str], Dict[str, str], ivy.Container]
      ] = None,
      to_apply: Union[bool, ivy.Container] = False,
      prune_unapplied: Union[bool, ivy.Container] = False,
      map_sequences: Union[bool, ivy.Container] = False,
      out: Optional[Union[ivy.Array, ivy.Container]] = None,
  ) -> ivy.Container:
      """ivy.Container static method variant of ivy.corrcoef. This method
          simply wraps the function, and so the docstring for ivy.corrcoef also
          applies to this method with minimal changes.
  
          Parameters
          ----------
          x
              Input container including arrays.
          y
              An additional input container.
          rowvar
              If rowvar is True (default), then each row represents a variable, with
              observations in the columns. Otherwise, the relationship is transposed:
              each column represents a variable, while the rows contain observations.
  
          Returns
          -------
          ret
              The corrcoef of the array elements in the container.
  
          Examples
          --------
          >>> a = ivy.Container(w=ivy.array([[1., 2.], [3., 4.]]), \
                                   z=ivy.array([[0., 1., 2.], [2., 1., 0.]]))
          >>> ivy.Container.corrcoef(a)
          {
              w: ivy.array([[1., 1.],
                            [1., 1.]]),
              z: ivy.array([[1., -1.],
                            [-1., 1.]])
          }
          """
      return ContainerBase.cont_multi_map_in_function(
          "corrcoef",
          x,
          y=y,
          rowvar=rowvar,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          out=out,
      )
  
imports: from typing import Optional, Union, List, Dict, Tuple, Sequence
  import ivy
  from ivy.data_classes.container.base import ContainerBase
label_desc: Use image node_id 13 for calling the _ContainerWithStatisticalExperimental obj's underlying member method code with example usage: obj.static_corrcoef() and returns: ContainerBase