old_contents: import matplotlib.pyplot as plt
  import numpy as np
  
  
  def plot_anomaly_score(
      det,              X,
      y=None,           ax=None,
      xlim=None,        ylim=None,
      xlabel='Samples', ylabel='Anomaly score',
      title=None,       grid=True,
      **kwargs
  ):
      """Plot anomaly scores.
  
      Parameters
      ----------
      det : detector
          Detector
  
      X : array-like, shape = (n_samples, n_features)
          Test samples.
  
      y : array-like, shape = (n_samples,), default None
          Targets.
  
      ax : matplotlib Axes, default None
          Target axes instance.
  
      xlim : tuple, default None
          Tuple passed to ax.xlim().
  
      ylim : tuple, default None
          Tuple passed to ax.ylim().
  
      xlabel : string, default 'Samples'
          X axis title label. To disable, pass None.
  
      ylabel : string, default 'Anomaly score'
          Y axis title label. To disable, pass None.
  
      title : string, default None
          Axes title. To disable, pass None.
  
      grid : boolean, default True
          If True, turn the axes grids on.
  
      **kwargs : dictionary
          Other keywords passed to ax.bar().
  
      Returns
      -------
      ax : matplotlib Axes
      """
  
      n_samples, _ = X.shape
  
      xlocs        = np.arange(n_samples)
      scores       = det.anomaly_score(X, y)
  
      if ax is None:
          _, ax    = plt.subplots(1, 1)
  
      if xlim is None:
          xlim     = (-1, n_samples)
  
      if ylim is None:
          ylim     = (0, 1.1 * max(max(scores), det.threshold_))
  
      if xlabel is not None:
          ax.set_xlabel(xlabel)
  
      if ylabel is not None:
          ax.set_ylabel(ylabel)
  
      if title is not None:
          ax.set_title(title)
  
      ax.set_xlim(xlim)
      ax.set_ylim(ylim)
      ax.grid(grid)
      ax.bar(xlocs, scores, align='center', **kwargs)
      ax.hlines(det.threshold_, *xlim)
  
      return ax
  
new_contents: import matplotlib.pyplot as plt
  import numpy as np
  
  
  def plot_anomaly_score(
      det,              X,
      y=None,           ax=None,
      xlim=None,        ylim=None,
      xlabel='Samples', ylabel='Anomaly score',
      title=None,       grid=True,
      **kwargs
  ):
      """Plot anomaly scores for test samples.
  
      Parameters
      ----------
      det : detector
          Detector.
  
      X : array-like, shape = (n_samples, n_features)
          Test samples.
  
      y : array-like, shape = (n_samples,), default None
          Targets.
  
      ax : matplotlib Axes, default None
          Target axes instance.
  
      xlim : tuple, default None
          Tuple passed to ax.xlim().
  
      ylim : tuple, default None
          Tuple passed to ax.ylim().
  
      xlabel : string, default 'Samples'
          X axis title label. To disable, pass None.
  
      ylabel : string, default 'Anomaly score'
          Y axis title label. To disable, pass None.
  
      title : string, default None
          Axes title. To disable, pass None.
  
      grid : boolean, default True
          If True, turn the axes grids on.
  
      **kwargs : dictionary
          Other keywords passed to ax.bar().
  
      Returns
      -------
      ax : matplotlib Axes
      """
  
      n_samples, _ = X.shape
  
      xlocs        = np.arange(n_samples)
      scores       = det.anomaly_score(X, y)
  
      if ax is None:
          _, ax    = plt.subplots(1, 1)
  
      if xlim is None:
          xlim     = (-1, n_samples)
  
      if ylim is None:
          ylim     = (0, 1.1 * max(max(scores), det.threshold_))
  
      if xlabel is not None:
          ax.set_xlabel(xlabel)
  
      if ylabel is not None:
          ax.set_ylabel(ylabel)
  
      if title is not None:
          ax.set_title(title)
  
      ax.set_xlim(xlim)
      ax.set_ylim(ylim)
      ax.grid(grid)
      ax.bar(xlocs, scores, align='center', **kwargs)
      ax.hlines(det.threshold_, *xlim)
  
      return ax
  
subject: update content of docstring