'iterate across columns for mann whitney u test?

I'm looking to iterate across columns to conduct a mann-whitney u test,

for i in range(1000):
df2=df.sample(n=size_of_N, replace=False,random_state=i)
treatment_group=df2.iloc[:size_of_n]
control_group=df2.iloc[size_of_n:]
significance_list=[]
for column in list_of_columns:
    significance=mannwhitneyu(treatment_group[column],
                              control_group[column])
    significance_list.append(significance)
    min_p_value = min(significance_list)
    min_p_value_list.append(min_p_value)

but the code breaks in the line significance=mannwhitneyu(treatment_group[column],control_group[column]) with the following error message "ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''"

I've checked and all my data types are numeric and non-null, with no commas or percentage signs or anything.

python

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'iterate across columns for mann whitney u test?

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