ValueError: You are trying to merge on object and int64 columns. If you wish to proceed you should use pd.concat
arosics_cli.py local -o /home/look/Documents/data/AROSICS_test/re_20090303_cuatro_local_coreg_nir.tif -fmt_out 'GTIFF' /home/look/Documents/data/AROSICS_test/wv_20170104_cuatro.tif /home/look/Documents/data/AROSICS_test/re_20090303_cuatro.tif 500
After completing the calculation of the tie point grid, I get this traceback:
File "/home/look/miniconda3/envs/arosics/bin/arosics_cli.py", line 340, in <module>
parsed_args.func(parsed_args)
File "/home/look/miniconda3/envs/arosics/bin/arosics_cli.py", line 84, in run_local_coreg
CRL.correct_shifts()
File "/home/look/miniconda3/envs/arosics/lib/python3.6/site-packages/arosics/CoReg_local.py", line 589, in correct_shifts
coreg_info = self.coreg_info
File "/home/look/miniconda3/envs/arosics/lib/python3.6/site-packages/arosics/CoReg_local.py", line 561, in coreg_info
'GCPList': self.tiepoint_grid.GCPList,
File "/home/look/miniconda3/envs/arosics/lib/python3.6/site-packages/arosics/CoReg_local.py", line 310, in tiepoint_grid
self._tiepoint_grid.get_CoRegPoints_table()
File "/home/look/miniconda3/envs/arosics/lib/python3.6/site-packages/arosics/Tie_Point_Grid.py", line 377, in get_CoRegPoints_table
GDF = GDF.merge(records, on='POINT_ID', how="inner")
File "/home/look/miniconda3/envs/arosics/lib/python3.6/site-packages/geopandas/geodataframe.py", line 475, in merge
result = DataFrame.merge(self, *args, **kwargs)
File "/home/look/miniconda3/envs/arosics/lib/python3.6/site-packages/pandas/core/frame.py", line 6389, in merge
copy=copy, indicator=indicator, validate=validate)
File "/home/look/miniconda3/envs/arosics/lib/python3.6/site-packages/pandas/core/reshape/merge.py", line 61, in merge
validate=validate)
File "/home/look/miniconda3/envs/arosics/lib/python3.6/site-packages/pandas/core/reshape/merge.py", line 555, in __init__
self._maybe_coerce_merge_keys()
File "/home/look/miniconda3/envs/arosics/lib/python3.6/site-packages/pandas/core/reshape/merge.py", line 983, in _maybe_coerce_merge_keys
raise ValueError(msg)
ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat