Bug: quantize_mode="GranularBitRound" replaces nans by "-0". about netcdf4-python HOT 3 OPEN

not sure you should expect the quantization to leave nans alone, unless the _FillValue or missing_value is set to nan

from netcdf4-python.

it turns out that even if the _FillValue is set to nan, the same problem occurs.

however, you can use

data = np.ma.masked_invalid(np.array([5.3, 6.2, 7.3, np.nan]))

and you end up with

netcdf test {
dimensions:
	x = 4 ;
variables:
	float tas(x) ;
		tas:_QuantizeGranularBitRoundNumberOfSignificantDigits = 4 ;
data:

 tas = 5.299805, 6.200195, 7.299805, _ ;
}

from netcdf4-python.

did you report this upstream?

from netcdf4-python.