class_docstr: Mixin class for all bicluster estimators in scikit-learn
class_docstr_tok: ["Mixin","class","for","all","bicluster","estimators","in","scikit-learn"]
docstr: Row and column indices of the i'th bicluster.
  
  Only works if ``rows_`` and ``columns_`` attributes exist.
  
  Returns
  -------
  row_ind : np.array, dtype=np.intp
      Indices of rows in the dataset that belong to the bicluster.
  col_ind : np.array, dtype=np.intp
      Indices of columns in the dataset that belong to the bicluster.
docstr_tok: ["Row","and","column","indices","of","the","i'th","bicluster",".","Only","works","if","``","rows_","``","and","``","columns_","``","attributes","exist",".","Returns","--","--","--","-","row_ind",":","np.array",",","dtype=np.intp","Indices","of","rows","in","the","dataset","that","belong","to","the","bicluster",".","col_ind",":","np.array",",","dtype=np.intp","Indices","of","columns","in","the","dataset","that","belong","to","the","bicluster","."]
code: def get_indices(self, i):
      """Row and column indices of the i'th bicluster.
  
      Only works if ``rows_`` and ``columns_`` attributes exist.
  
      Returns
      -------
      row_ind : np.array, dtype=np.intp
          Indices of rows in the dataset that belong to the bicluster.
      col_ind : np.array, dtype=np.intp
          Indices of columns in the dataset that belong to the bicluster.
  
      """
      rows = self.rows_[i]
      columns = self.columns_[i]
      return np.nonzero(rows)[0], np.nonzero(columns)[0]
  
imports: import copy
  import warnings
  import numpy
  from scipy import sparse
  from .externals import six
  from .utils.fixes import signature
  from .utils.deprecation import deprecated
  from .exceptions import ChangedBehaviorWarning
  from .None import __version__
label_desc: Use image node_id 2 for calling the BiclusterMixin obj's underlying member method code with example usage: obj.get_indices(i) and returns: np,  np