DASware5Parser.parse raises ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() #9
Description
Hi, when parsing my v5 file, an ValueError is raised by the function DASware5Parser.parse().
The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()
ValueError Traceback (most recent call last)
/Users/01_Basic_Use.ipynb Cell 4 in <cell line: 6>()
3 import ipywidgets
5 import detl
----> 6 ddata = detl.parse('v5_Control_1_.csv')
8 # display what theddataobject looks like
9 ddataFile ~/opt/anaconda3/lib/python3.9/site-packages/detl/init.py:61, in parse(filepath, inoculation_times)
46 """Parses a raw DASware CSV file into a DWData object.
47
48 Args:
(...)
58 NotImlementedError: when the file contents do not match with a known DASware CSV style
59 """
60 parser = get_parser(filepath)
---> 61 data = parser.parse(filepath)
63 if inoculation_times:
64 for r, dt_inoculate in inoculation_times.items():File ~/opt/anaconda3/lib/python3.9/site-packages/detl/parsing/dw5.py:137, in DASware5Parser.parse(self, filepath)
134 dd = common.transform_to_dwdata(scoped_blocks, BLOCKPARSERS, version=core.DASwareVersion.V5)
136 for _, reactor in dd.items():
--> 137 reactor._dataframe = common.transform_trackdata(reactor.trackdata, columnmapping, core.DASwareVersion.V5)
...
1528 f"The truth value of a {type(self).name} is ambiguous. "
1529 "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
1530 )ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
As far as I could see, the error is produced in common.py in transform_trackdata()
for key, reg in columnmapping.items():
new_data = trackdata.filter(regex=reg, axis="columns").squeeze()
if (not new_data.empty) & (not new_data.isnull().all()):
transformed_data.loc[:, key] = new_data
transformed_data = transformed_data.fillna(method="ffill")