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As you can see, one of the boolean becomes a numeric (exactly an int64), this is due to the null values. This is a known issue on pandas but it's solvable by defining a dtype_backend, either numpy_nullable either pyarrow
Hello
My input file (see attached)
test_formatchamp_amphi.xlsx
Result when reading on Amphi :
As you can see, one of the boolean becomes a numeric (exactly an int64), this is due to the null values. This is a known issue on pandas but it's solvable by defining a dtype_backend, either numpy_nullable either pyarrow
For reference pandas-dev/pandas#45903
Same with pyarrow
Best regards,
Simon
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