class_docstr: Class encapsulating a batch during the augmentation process.
  
  Data within the batch is already verified and normalized, similar to
  :class:`Batch`. Data within the batch may be changed in-place. No initial
  copy is needed.
  
  Added in 0.4.0.
  
  Parameters
  ----------
  images : None or (N,H,W,C) ndarray or list of (H,W,C) ndarray
      The images to augment.
  
  heatmaps : None or list of imgaug.augmentables.heatmaps.HeatmapsOnImage
      The heatmaps to augment.
  
  segmentation_maps : None or list of imgaug.augmentables.segmaps.SegmentationMapsOnImage
      The segmentation maps to augment.
  
  keypoints : None or list of imgaug.augmentables.kps.KeypointOnImage
      The keypoints to augment.
  
  bounding_boxes : None or list of imgaug.augmentables.bbs.BoundingBoxesOnImage
      The bounding boxes to augment.
  
  polygons : None or list of imgaug.augmentables.polys.PolygonsOnImage
      The polygons to augment.
  
  line_strings : None or list of imgaug.augmentables.lines.LineStringsOnImage
      The line strings to augment.
class_docstr_tok: ["Class","encapsulating","a","batch","during","the","augmentation","process",".","Data","within","the","batch","is","already","verified","and","normalized",",","similar","to",":","class",":","`","Batch","`",".","Data","within","the","batch","may","be","changed","in-place",".","No","initial","copy","is","needed",".","Added","in","0.4.0",".","Parameters","--","--","--","--","--","images",":","None","or","(","N",",","H",",","W",",","C",")","ndarray","or","list","of","(","H",",","W",",","C",")","ndarray","The","images","to","augment",".","heatmaps",":","None","or","list","of","imgaug.augmentables.heatmaps.HeatmapsOnImage","The","heatmaps","to","augment",".","segmentation_maps",":","None","or","list","of","imgaug.augmentables.segmaps.SegmentationMapsOnImage","The","segmentation","maps","to","augment",".","keypoints",":","None","or","list","of","imgaug.augmentables.kps.KeypointOnImage","The","keypoints","to","augment",".","bounding_boxes",":","None","or","list","of","imgaug.augmentables.bbs.BoundingBoxesOnImage","The","bounding","boxes","to","augment",".","polygons",":","None","or","list","of","imgaug.augmentables.polys.PolygonsOnImage","The","polygons","to","augment",".","line_strings",":","None","or","list","of","imgaug.augmentables.lines.LineStringsOnImage","The","line","strings","to","augment","."]
docstr: Reduce this batch to a subset of rows based on their row indices.
  
  Added in 0.4.0.
  
  Parameters
  ----------
  indices : iterable of int
      Row indices to select.
  
  Returns
  -------
  _BatchInAugmentation
      Batch containing only a subselection of rows.
docstr_tok: ["Reduce","this","batch","to","a","subset","of","rows","based","on","their","row","indices",".","Added","in","0.4.0",".","Parameters","--","--","--","--","--","indices",":","iterable","of","int","Row","indices","to","select",".","Returns","--","--","--","-","_BatchInAugmentation","Batch","containing","only","a","subselection","of","rows","."]
code: def subselect_rows_by_indices(self, indices):
      """Reduce this batch to a subset of rows based on their row indices.
  
      Added in 0.4.0.
  
      Parameters
      ----------
      indices : iterable of int
          Row indices to select.
  
      Returns
      -------
      _BatchInAugmentation
          Batch containing only a subselection of rows.
  
      """
      kwargs = {"data": self.data}
      for augm_name in _AUGMENTABLE_NAMES:
          rows = getattr(self, augm_name)
          if rows is not None:
              if augm_name == "images" and ia.is_np_array(rows):
                  rows = rows[
                      indices
                  ]  # pylint: disable=unsubscriptable-object
              else:
                  rows = [rows[index] for index in indices]
  
              if len(rows) == 0:
                  rows = None
          kwargs[augm_name] = rows
  
      return _BatchInAugmentation(**kwargs)
  
imports: from __future__ import print_function, division, absolute_import
  import collections
  import numpy
  from ..None import imgaug
  from .None import normalization
  from .None import utils
label_desc: Use image node_id 7 for calling the _BatchInAugmentation obj's underlying member method code with example usage: obj.subselect_rows_by_indices(indices) and returns: _BatchInAugmentation