Data are unpacked as float

Summary

The DataFrame generated by the unpacker out of /afs/cern.ch/work/c/cgalloni/public/latency_scan/run000000_Testing_CERN904_2020-06-05_chunk_0.dat has the following float columns:

('RP:EXT TRG', 'AMC', 'HEADER', 2, None, None)
('RP:IS C', 'AMC', 'HEADER', 2, None, None)
('RP:CAL DAC', 'AMC', 'HEADER', 2, None, None)
('RP:PULSE STRETCH', 'AMC', 'HEADER', 2, None, None)
('RP:LATENCY', 'AMC', 'HEADER', 2, None, None)

They contain, among others, NaNs.

Steps to reproduce

from gdh import unpacker
import numpy as np

df = unpacker.run('/afs/cern.ch/work/c/cgalloni/public/latency_scan/run000000_Testing_CERN904_2020-06-05_chunk_0.dat','sdram')

for c in df.columns:
    if np.dtype(df[c]) == np.float64:
        print(c)

What is the expected correct behavior?

All columns are integers.

Environment

Version used: latest develop
Operation System: CentOS 7