old_contents: import pandas as pd
  import folium
  
  def get_map_list(df, potential_splits):
      mapList = []
      potential_splits_list = list(potential_splits)
      for start, end in zip(potential_splits_list, potential_splits_list[1:]):
          trip = df[start:end]
          currMap = folium.Map([trip.mLatitude.mean(), trip.mLongitude.mean()])
          plot_point = lambda row: currMap.simple_marker([row['mLatitude'], row['mLongitude']], popup='%s' % row)
          trip.apply(plot_point, axis=1)
          currMap.line(zip(list(trip.mLatitude), list(trip.mLongitude)))
          mapList.append(currMap)
      return mapList
  
new_contents: import pandas as pd
  import folium
  
  def df_to_string_list(df):
      """
      Convert the input df into a list of strings, suitable for using as popups in a map.
      This is a utility function.
      """
      print "Converting df with size %s to string list" % df.shape[0]
      array_list = df.as_matrix().tolist()
      return [str(line) for line in array_list]
  
  def get_map_list(df, potential_splits):
      mapList = []
      potential_splits_list = list(potential_splits)
      for start, end in zip(potential_splits_list, potential_splits_list[1:]):
          trip = df[start:end]
          currMap = folium.Map([trip.mLatitude.mean(), trip.mLongitude.mean()])
          currMap.div_markers(trip[['mLatitude', 'mLongitude']].as_matrix().tolist(),
              df_to_string_list(trip[['mLatitude', 'mLongitude', 'formatted_time', 'mAccuracy']]))
          currMap.line(trip[['mLatitude', 'mLongitude']].as_matrix().tolist())
          mapList.append(currMap)
      return mapList
  
subject: Enhance our plotter to use the new div_markers code