code: def draw_core(self, limit_length=None, color_palette="Blues_d"):
      if type(self.data) == "dict":
          data = sorted(
              self.data.items(), key=lambda kv: int(kv[1]), reverse=True
          )
      else:
          data = self.data
      if limit_length is not None:
          data = data[:limit_length]
  
      features = np.array([a for a, _ in data])
      scores = np.array([round(b, 10) for _, b in data])
  
      ax = sns.barplot(
          x=scores,
          y=features,
          palette=sns.color_palette(color_palette),
          orient="h",
      )
      for index, score_value in enumerate(scores.tolist()):
          ax.text(
              score_value, index, score_value, color="black", ha="left"
          )
      plt.autoscale(enable=True, axis="both", tight=True)
      self.label_ax = ax
  
imports: import matplotlib.pyplot
  import numpy
  import pandas
  import seaborn
  import xai.constants
  from wordcloud import WordCloud
  import shap
  from xai.graphs.basic_graph import Graph
  from typing import List
  from collections import Counter
  import operator
  from xai.data.exceptions import NoItemsError
label_desc: Use image node_id 2 for calling the FeatureImportance obj's underlying member method code with example usage: obj.draw_core(limit_length, color_palette) without return types