class_docstr: Results from Tukey HSD test, with additional plot methods
  
  Can also compute and plot additional post-hoc evaluations using this
  results class.
  
  Attributes
  ----------
  reject : array of boolean, True if we reject Null for group pair
  meandiffs : pairwise mean differences
  confint : confidence interval for pairwise mean differences
  std_pairs : standard deviation of pairwise mean differences
  q_crit : critical value of studentized range statistic at given alpha
  halfwidths : half widths of simultaneous confidence interval
  pvalues : adjusted p-values from the HSD test
  
  Notes
  -----
  halfwidths is only available after call to `plot_simultaneous`.
  
  Other attributes contain information about the data from the
  MultiComparison instance: data, df_total, groups, groupsunique, variance.
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code: def __str__(self):
      return str(self._results_table)
  
imports: from collections import namedtuple
  from statsmodels.compat.python import lzip, lrange
  import copy
  import math
  import numpy
  from numpy.testing import assert_almost_equal, assert_equal
  from scipy import stats, interpolate
  from statsmodels.iolib.table import SimpleTable
  from statsmodels.stats.multitest import multipletests, _ecdf, fdrcorrection, fdrcorrection_twostage
  from statsmodels.graphics import utils
  from statsmodels.tools.sm_exceptions import ValueWarning
label_desc: Use image node_id 2 for calling the TukeyHSDResults obj's underlying member method code with example usage: obj.__str__() and returns: str