Comments (4)
The commands above return asd = None
even though the jsonable loads onto disk fine
from ibllib.
Hmm this is not reproducible here. Possible explanations:
- this happens to most recent datasets: the datasets are registered, but do not exist yet on flatIron and
none
is the expected behaviour - it happens to all datasets: fb75788 was implemented 19 days ago on master. You should be up to date but still worth checking
Otherwise, please send a specific session that has this behaviour, and I"ll see if I can reproduce. Which OS ?
from ibllib.
the code above is missing a ..., details=True)
from ibllib.
Updating to the latest develop branch fixed the None
problem.
Could importing one.ibllib
throw a warning when the user is on an old version?
Also, the output returned is a cumbersome list of dicts of lists (I think?):
'RelativeHumidity': [32.5419921875]},
{'Temperature_C': [26.780000686645508],
'AirPressure_mb': [1011.332763671875],
'RelativeHumidity': [32.552734375]},
{'Temperature_C': [26.770000457763672],
'AirPressure_mb': [1011.30322265625],
'RelativeHumidity': [32.5634765625]},
{'Temperature_C': [26.790000915527344],
'AirPressure_mb': [1011.3099365234375],
'RelativeHumidity': [32.564453125]},
{'Temperature_C': [26.780000686645508],
'AirPressure_mb': [1011.3465576171875],
'RelativeHumidity': [32.564453125]}]]
So that ambient = pd.DataFrame(asd[0])
returns
AirPressure_mb RelativeHumidity Temperature_C
0 [1010.5851440429688] [33.04296875] [26.219999313354492]
1 [1010.7210083007812] [33.3408203125] [25.989999771118164]
2 [1010.6853637695312] [33.3408203125] [25.979999542236328]
Could the dict values be numeric, rather than wrapped in a list? And what datasetType should I grab to get the timing for each of these (stimulus_onTime
?)
from ibllib.
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from ibllib.