code: def plot_speedup(trials=5, factors=np.arange(1, 11)):
      def pcoords_time(X, y, fast=True):
          _, ax = plt.subplots()
          oz = ParallelCoordinates(fast=fast, ax=ax)
  
          start = time.time()
          oz.fit_transform(X, y)
          delta = time.time() - start
  
          plt.cla()  # clear current axis
          plt.clf()  # clear current figure
          plt.close("all")  # close all existing plots
  
          return delta
  
      def pcoords_speedup(X, y):
          fast_time = pcoords_time(X, y, fast=True)
          slow_time = pcoords_time(X, y, fast=False)
  
          return slow_time / fast_time
  
      data = load_iris()
  
      speedups = []
      variance = []
  
      for factor in factors:
          X = np.repeat(data.data, factor, axis=0)
          y = np.repeat(data.target, factor, axis=0)
  
          local_speedups = []
          for trial in range(trials):
              local_speedups.append(pcoords_speedup(X, y))
  
          local_speedups = np.array(local_speedups)
          speedups.append(local_speedups.mean())
          variance.append(local_speedups.std())
  
      speedups = np.array(speedups)
      variance = np.array(variance)
  
      series = pd.Series(speedups, index=factors)
      _, ax = plt.subplots(figsize=(9, 6))
      series.plot(ax=ax, marker="o", label="speedup factor", color="b")
  
      # Plot one standard deviation above and below the mean
      ax.fill_between(
          factors,
          speedups - variance,
          speedups + variance,
          alpha=0.25,
          color="b",
      )
  
      ax.set_ylabel("speedup factor")
      ax.set_xlabel("dataset size (number of repeats in Iris dataset)")
      ax.set_title("Speed Improvement of Fast Parallel Coordinates")
      plt.savefig(
          "images/fast_parallel_coordinates_speedup_benchmark.png"
      )
  
imports: import time
  import matplotlib.pyplot
  from sklearn.datasets import load_iris
  from yellowbrick.features import ParallelCoordinates
  import pandas
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: plot_speedup(trials, factors) and returns: delta, unknown