df[txf_col] = df[txf_col].apply(_to_protocols)
File "/home/pcoccoli/.pyenv/versions/gh392/lib/python3.9/site-packages/pandas/core/series.py", line 4771, in apply
return SeriesApply(self, func, convert_dtype, args, kwargs).apply()
File "/home/pcoccoli/.pyenv/versions/gh392/lib/python3.9/site-packages/pandas/core/apply.py", line 1105, in apply
return self.apply_standard()
File "/home/pcoccoli/.pyenv/versions/gh392/lib/python3.9/site-packages/pandas/core/apply.py", line 1156, in apply_standard
mapped = lib.map_infer(
File "pandas/_libs/lib.pyx", line 2918, in pandas._libs.lib.map_infer
File "/home/pcoccoli/github/firepit/firepit/aio/ingest.py", line 135, in _to_protocols
value = [str(i).lower() for i in value if i != '']
TypeError: 'float' object is not iterable```
With aws_guardduty results and 2.3.26: