docs: def plotLightCurves(
          log,
          lightCurves,
          polyOrder,
          pathToOutputDirectory):
      """
      *plot lightcurve(s) given an list of magnitude, time pairs*
  
      **Key Arguments:**
          - ``log`` -- logger
          - ``lightCurves`` -- list of magnitude, time numPy arrays
          - ``polyOrder`` -- order of polynomial used to fit the model lightcurves extracted from spectra
          - ``pathToOutputDirectory`` -- path to the output directory
  
      **Return:**
          - None
      """
      ################ > IMPORTS ################
      ## STANDARD LIB ##
      ## THIRD PARTY ##
      import matplotlib.pyplot as plt
      import numpy as np
      ## LOCAL APPLICATION ##
  
      resultsDict = {}
      ################ > VARIABLE SETTINGS ######
      ################ >ACTION(S) ################
      ax = plt.subplot(111)
      curveDict = {}
      for curve in lightCurves:
          x = curve[1]
          y = curve[0]
  
          # CAUSE LIGHTCURVE GENERATION TO FAIL IF LESS THAN 5 POINTS EXTRACTED
          # FROM THE SPECTRA
          if len(x) <= 4:
              curveDict['poly'] = None
              continue
  
          order = polyOrder
          poly = np.polyfit(x, y, order)
          curveDict['poly'] = poly
          pOrder = np.poly1d(poly)
          polyString = "mxxx[i] = "
          polyStringMd = "\\\\(mag = "
          for i in range(0, order + 1):
              if i > 0 and poly[i] > 0:
                  polyString += "+"
                  polyStringMd += "+"
              polyString += """%s*pow(i,%s) """ % (poly[i], order - i)
              polyStringMd += """%s*time^{%s} """ % (poly[i], order - i)
          polyStringMd += "\\\\)"
  
          xp = np.arange(int(min(x)), int(max(x)), 0.2)
          ax.plot(x, y, '.', xp, pOrder(xp), '--')
  
      title = curve[5]
      # Shink current axis by 20%
      box = ax.get_position()
      ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
      ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), prop={'size': 8})
      ax.titlesize = 'medium'   # fontsize of the axes title
      ax.labelsize = 'medium'  # fontsize of the x any y labels
      plt.xlabel("Days Relative to Peak")
      plt.ylabel("Magnitude")
      plt.title(title, fontsize='small',
                verticalalignment='bottom', linespacing=0.2)
      ax.invert_yaxis()
  
      fileName = pathToOutputDirectory + title.replace(" ", "_") + ".png"
      # mdPlotLink = """![%s_plot]\n\n[%s_plot]: %s\n\n""" % (title.replace(" ", "_"), title.replace(" ", "_"), fileName,)
      # curveDict['mdLink'] = mdPlotLink
      plt.savefig(fileName)
      plt.clf()  # clear figure
  
      return curveDict