class_docstr: A classifier computing quantiles over an input.
class_docstr_tok: ["A","classifier","computing","quantiles","over","an","input","."]
docstr: Short repr to use when rendering Pipeline graphs.
code: def graph_repr(self):
      """Short repr to use when rendering Pipeline graphs."""
      return type(self).__name__ + "(%d)" % self.params["bins"]
  
imports: from functools import partial
  from numbers import Number
  import operator
  import re
  from numpy import where, isnan, nan, zeros
  import pandas
  from zipline.errors import UnsupportedDataType
  from zipline.lib.labelarray import LabelArray
  from zipline.lib.quantiles import quantiles
  from zipline.pipeline.api_utils import restrict_to_dtype
  from zipline.pipeline.dtypes import CLASSIFIER_DTYPES, FACTOR_DTYPES, FILTER_DTYPES
  from zipline.pipeline.sentinels import NotSpecified
  from zipline.pipeline.term import ComputableTerm
  from zipline.utils.compat import unicode
  from zipline.utils.input_validation import expect_types, expect_dtypes
  from zipline.utils.numpy_utils import categorical_dtype, int64_dtype, vectorized_is_element
  from ..filters import ArrayPredicate, NumExprFilter
  from ..mixins import CustomTermMixin, LatestMixin, PositiveWindowLengthMixin, RestrictedDTypeMixin, SingleInputMixin, StandardOutputs
label_desc: Use image node_id 2 for calling the Quantiles obj's underlying member method code with example usage: obj.graph_repr() and returns: unknown