code: def get_ticktext_for_plot(
      single_aspect_importance_df, variables_order, abbrev_labels=0
  ):
      _df = deepcopy(single_aspect_importance_df)
      ticktext = [
          f"{variable} = {utils.nice_format(_df.loc[_df['variable_names']==variable, 'variable_values'].values[0])}"
          if abbrev_labels <= 0
          else utils.text_abbreviate(
              f"{variable} = {utils.nice_format(_df.loc[_df['variable_names']==variable, 'variable_values'].values[0])}",
              abbrev_labels,
          )
          for variable in variables_order
      ]
      return ticktext
  
file_path: DALEX/python/dalex/dalex/aspect/_predict_triplot/plot.py
imports: import numpy
  import plotly.graph_objects
  from copy import deepcopy
  from dalex import _global_utils, _theme
  from .None import utils
label_desc: Use image node_id 2 for calling a global function with example usage: get_ticktext_for_plot(single_aspect_importance_df, variables_order, abbrev_labels) and returns: ticktext