code: def _prop_descriptions(self):
      return """\
          currentbin
              Only applies if cumulative is enabled. Sets whether the
              current bin is included, excluded, or has half of its
              value included in the current cumulative value.
              "include" is the default for compatibility with various
              other tools, however it introduces a half-bin bias to
              the results. "exclude" makes the opposite half-bin
              bias, and "half" removes it.
          direction
              Only applies if cumulative is enabled. If "increasing"
              (default) we sum all prior bins, so the result
              increases from left to right. If "decreasing" we sum
              later bins so the result decreases from left to right.
          enabled
              If true, display the cumulative distribution by summing
              the binned values. Use the `direction` and `centralbin`
              attributes to tune the accumulation method. Note: in
              this mode, the "density" `histnorm` settings behave the
              same as their equivalents without "density": "" and
              "density" both rise to the number of data points, and
              "probability" and *probability density* both rise to
              the number of sample points.
          """
  
file_path: catboost/contrib/python/plotly/py3/plotly/graph_objs/histogram/_cumulative.py
imports: from plotly.basedatatypes import BaseTraceHierarchyType
  import copy
label_desc: Use image node_id 7 for calling the Cumulative obj's underlying member method code with example usage: obj._prop_descriptions() and returns: str