Type conversion error in to_flowdataframe destination

[cadentj]

When converting with a custom tessellation (not from the tiler module), FlowDataFrame init raises the following:

ValueError                                Traceback (most recent call last)
Cell In[68], line 1
----> 1 fdf = skmob.FlowDataFrame(data=flow, tessellation=tessellation)

File [~/Programming/scikit-mobility/skmob/core/flowdataframe.py:153](https://file+.vscode-resource.vscode-cdn.net/home/caden/Programming/qwang-research/working/data_sourcing/~/Programming/scikit-mobility/skmob/core/flowdataframe.py:153), in FlowDataFrame.__init__(self, data, origin, destination, flow, datetime, tile_id, timestamp, tessellation, parameters)
    149 destination = self[constants.DESTINATION]
    151 if not all(origin.isin(self._tessellation[constants.TILE_ID])) or \
    152         not all(destination.isin(self._tessellation[constants.TILE_ID])):
--> 153     raise ValueError("Inconsistency - origin and destination IDs must be present in the tessellation.")
    155 # Cleaning the index to make sure it is incremental
    156 self._tessellation.reset_index(inplace=True, drop=True)

ValueError: Inconsistency - origin and destination IDs must be present in the tessellation.

Error was resolved by forking library and extracting flows and tessellations before FlowDataFrame init. The destination column in flows was type 'float' while both origin and tile_ID were type 'int64'. Converting destination to type 'int64' and then initializing FlowDataFrame resovled the issue.