class_docstr: Wrap results and pretty print them.
class_docstr_tok: ["Wrap","results","and","pretty","print","them","."]
code: def __repr__(self):
      msg = (
          "HDR boxplot summary:\n"
          "-> median:\n{}\n"
          "-> 50% HDR (max, min):\n{}\n"
          "-> 90% HDR (max, min):\n{}\n"
          "-> Extra quantiles (max, min):\n{}\n"
          "-> Outliers:\n{}\n"
          "-> Outliers indices:\n{}\n"
      ).format(
          self.median,
          self.hdr_50,
          self.hdr_90,
          self.extra_quantiles,
          self.outliers,
          self.outliers_idx,
      )
  
      return msg
  
file_path: statsmodels/statsmodels/graphics/functional.py
imports: from statsmodels.compat.numpy import NP_LT_123
  import numpy
  from scipy.special import comb
  from statsmodels.graphics.utils import _import_mpl
  from statsmodels.multivariate.pca import PCA
  from statsmodels.nonparametric.kernel_density import KDEMultivariate
  import itertools
  from multiprocessing import Pool
  from .None import utils
label_desc: Use image node_id 2 for calling the HdrResults obj's underlying member method code with example usage: obj.__repr__() and returns: msg