[Python] 'numpy.float64' object has no attribute 'numerator' for statistics.stdev()

I have this function to calculate Cohen's D for some csv files



def cohen_d(a,b):
float_a = []
float_b = []
for x in a:
try:
float_a.append(float(x))
except ValueError:
return "NAN"
for y in b:
try:
float_b.append(float(y))
except ValueError:
return "NAN"
float_a = np.array(float_a)
float_b = np.array(float_b)
try:
res=(statistics.fmean(float_a) - statistics.fmean(float_b)) / statistics.stdev(np.concatenate([float_a,float_b]))
except ZeroDivisionError:
res=0
return res




When I try to run it on my data, I systematically get this error:

RuleException:
AttributeError in file /work/user/cburnard/PIPELINES/ChIPseq/Snakefile, line 111:
'numpy.float64' object has no attribute 'numerator'
File "/work/user/cburnard/PIPELINES/ChIPseq/Snakefile", line 903, in __rule_calculate_multimapbw_indiv_scores
File "/work/user/cburnard/PIPELINES/ChIPseq/Snakefile", line 162, in effect_size_mmb
File "/work/user/cburnard/PIPELINES/ChIPseq/Snakefile", line 111, in cohen_d
File "/tools/devel/python/Python-3.11.1/lib/python3.11/statistics.py", line 922, in stdev
File "/tools/devel/python/Python-3.11.1/lib/python3.11/concurrent/futures/thread.py", line 58, in run



Where is this error coming from? I don't know exactly on what line of data it is occurring, but in theory even if it's non-numerical due to some bug, I should still get the return "NAN" instead of this error.

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