code: def __init__(
      self,
      plotly_name="ybins",
      parent_name="histogram2dcontour",
      **kwargs,
  ):
      super(YbinsValidator, self).__init__(
          plotly_name=plotly_name,
          parent_name=parent_name,
          data_class_str=kwargs.pop("data_class_str", "YBins"),
          data_docs=kwargs.pop(
              "data_docs",
              """
              end
                  Sets the end value for the y axis bins. The
                  last bin may not end exactly at this value, we
                  increment the bin edge by `size` from `start`
                  until we reach or exceed `end`. Defaults to the
                  maximum data value. Like `start`, for dates use
                  a date string, and for category data `end` is
                  based on the category serial numbers.
              size
                  Sets the size of each y axis bin. Default
                  behavior: If `nbinsy` is 0 or omitted, we
                  choose a nice round bin size such that the
                  number of bins is about the same as the typical
                  number of samples in each bin. If `nbinsy` is
                  provided, we choose a nice round bin size
                  giving no more than that many bins. For date
                  data, use milliseconds or "M<n>" for months, as
                  in `axis.dtick`. For category data, the number
                  of categories to bin together (always defaults
                  to 1).
              start
                  Sets the starting value for the y axis bins.
                  Defaults to the minimum data value, shifted
                  down if necessary to make nice round values and
                  to remove ambiguous bin edges. For example, if
                  most of the data is integers we shift the bin
                  edges 0.5 down, so a `size` of 5 would have a
                  default `start` of -0.5, so it is clear that
                  0-4 are in the first bin, 5-9 in the second,
                  but continuous data gets a start of 0 and bins
                  [0,5), [5,10) etc. Dates behave similarly, and
                  `start` should be a date string. For category
                  data, `start` is based on the category serial
                  numbers, and defaults to -0.5.
  """,
          ),
          **kwargs,
      )
  
imports: import _plotly_utils.basevalidators
label_desc: Use image node_id 1 to create a new YbinsValidator object from inherited base classes: _plotly_utils.basevalidators with example: obj = YbinsValidator(plotly_name, parent_name)