code: def get_graph(graph=None, *, _limit=(), _print=()):
      
      graph = graph or bonobo.Graph()
  
      producer = (
          graph.get_cursor()
          >> ODSReader(dataset="liste-des-cafes-a-un-euro", netloc="opendata.paris.fr")
          >> PartialGraph(*_limit)
          >> bonobo.UnpackItems(0)
          >> bonobo.Rename(name="nom_du_cafe", address="adresse", zipcode="arrondissement")
          >> bonobo.Format(city="Paris", country="France")
          >> bonobo.OrderFields(["name", "address", "zipcode", "city", "country", "geometry", "geoloc"])
          >> PartialGraph(*_print)
      )
  
      # Comma separated values.
      graph.get_cursor(producer.output) >> bonobo.CsvWriter(
          "coffeeshops.csv", fields=["name", "address", "zipcode", "city"], delimiter=","
      )
  
      # Standard JSON
      graph.get_cursor(producer.output) >> bonobo.JsonWriter(path="coffeeshops.json")
  
      # Line-delimited JSON
      graph.get_cursor(producer.output) >> bonobo.LdjsonWriter(path="coffeeshops.ldjson")
  
      return graph
docs: Extracts a list of cafes with on euro in Paris, renames the name, address and zipcode fields,
      reorders the fields and formats to json and csv files.