code: def histogram(cls, expr, bins, density=True, weights=None):
      bins = np.asarray(bins)
      bins = [
          int(v) if bins.dtype.kind in "iu" else float(v) for v in bins
      ]
      binned = expr.bucket(bins).name("bucket")
      hist = np.zeros(len(bins) - 1)
      if ibis4():
          hist_bins = binned.value_counts().order_by("bucket").execute()
      else:
          # sort_by will be removed in Ibis 5.0
          hist_bins = binned.value_counts().sort_by("bucket").execute()
      metric_name = "bucket_count" if ibis5() else "count"
      for b, v in zip(hist_bins["bucket"], hist_bins[metric_name]):
          if np.isnan(b):
              continue
          hist[int(b)] = v
      if weights is not None:
          raise NotImplementedError(
              "Weighted histograms currently "
              "not implemented for IbisInterface."
          )
      if density:
          hist = hist / expr.count().execute() / np.diff(bins)
      return hist, bins
  
imports: import sys
  from collections.abc import Iterable
  from functools import lru_cache
  import numpy
  from packaging.version import Version
  from ..None import util
  from ..element import Element
  from ..ndmapping import NdMapping, item_check, sorted_context
  from .None import pandas
  from .interface import Interface
  from .util import cached
label_desc: Use image node_id 12 for calling the IbisInterface obj's underlying member method code with example usage: obj.histogram(cls, expr, bins, density, weights) and returns: hist,  bins