docs: def plotAAProperties(sequence, propertyNames, showLines=True, showFigure=True):
      """
      Plot amino acid property values for a sequence.
  
      @param sequence: An C{AARead} (or a subclass) instance.
      @param propertyNames: An iterable of C{str} property names (each of which
          must be a key of a key in the C{dark.aa.PROPERTY_DETAILS} C{dict}).
      @param showLines: If C{True}, lines will be drawn between successive AA
          property values. If not, just the values will be plotted as a scatter
          plot (this greatly reduces visual clutter if the sequence is long and
          AA property values are variable).
      @param showFigure: If C{True}, display the plot. Passing C{False} is useful
          in testing.
      @raise ValueError: If an unknown property is given in C{propertyNames}.
      @return: The return value from calling dark.aa.propertiesForSequence:
          a C{dict} keyed by (lowercase) property name, with values that are
          C{list}s of the corresponding property value according to sequence
          position.
      """
      MISSING_AA_VALUE = -1.1
      propertyValues = propertiesForSequence(sequence, propertyNames,
                                             missingAAValue=MISSING_AA_VALUE)
      if showFigure:
          legend = []
          x = np.arange(0, len(sequence))
          plot = plt.plot if showLines else plt.scatter
  
          for index, propertyName in enumerate(propertyValues):
              color = TABLEAU20[index]
              plot(x, propertyValues[propertyName], color=color)
              legend.append(patches.Patch(color=color, label=propertyName))
  
          plt.legend(handles=legend, loc=(0, 1.1))
          plt.xlim(-0.2, len(sequence) - 0.8)
          plt.ylim(min(MISSING_AA_VALUE, -1.1), 1.1)
          plt.xlabel('Sequence index')
          plt.ylabel('Property value')
          plt.title(sequence.id)
          plt.show()
  
      return propertyValues