code: def render_matplotlib(indicators: IndicatorCollection):
      r"""
      Creates a distribution plot distribution with MatPlotLib
      """
      _, ax = plt.subplots(figsize=(18, 9))
      for i, ind in enumerate(indicators):
          data = _cache.get_indicator_data(ind)
          MATPLOTLIB.render_density(
              ax, data, sns.color_palette()[i], ind.key
          )
      plt.show()
  
imports: import matplotlib.pyplot
  import seaborn
  from labml.internal.analytics import cache
  from labml.internal.analytics.indicators import IndicatorCollection
  from labml.internal.analytics.matplotlib import MatPlotLibAnalytics
label_desc: Use image node_id 1 for calling a global function with example usage: render_matplotlib(indicators) without return types