class_docstr: A list of HTML-representable objects to display in a table.
  Primarily intended for Image objects, but could be anything
  that has _repr_html_.
class_docstr_tok: ["A","list","of","HTML-representable","objects","to","display","in","a","table",".","Primarily","intended","for","Image","objects",",","but","could","be","anything","that","has","_repr_html_","."]
docstr: Supports rich display in a Jupyter notebook, using an HTML table
docstr_tok: ["Supports","rich","display","in","a","Jupyter","notebook",",","using","an","HTML","table"]
code: def _repr_html_(self):
      """Supports rich display in a Jupyter notebook, using an HTML table"""
      htmls = []
      col = 0
      tr = """<tr style="background-color:white">"""
      for i in self.images:
          label = (
              i.name
              if hasattr(i, "name") and i.name is not None
              else ""
          )
  
          htmls.append(
              """<td style="text-align: center"><b>"""
              + label
              + """</b><br><br>{0}</td>""".format(i._repr_html_())
          )
          col += 1
          if self.num_cols is not None and col >= self.num_cols:
              col = 0
              htmls.append("</tr>" + tr)
  
      return (
          """<table style="width:100%; text-align: center"><tbody>"""
          + tr
          + "".join(htmls)
          + """</tr></tbody></table>"""
      )
  
imports: from __future__ import annotations
  from collections.abc import Iterator
  from io import BytesIO
  import warnings
  import numpy
  import numba
  import toolz
  import xarray
  import dask.array
  from PIL.Image import fromarray
  from datashader.colors import rgb, Sets1to3
  from datashader.utils import nansum_missing, ngjit
label_desc: Use image node_id 3 for calling the Images obj's underlying member method code with example usage: obj._repr_html_() and returns: unknown