make_uc not using correct obs and car

[gageoleighton]

I'm simply trying to plot with ppm on the x-axis...

However, when trying to convert from varian to pipe and then "make_uc" the carrier and observe frequencies are not set correctly.
I'm a bit perplexed by this issue.
Not sure if it's something wrong with my script as I didn't see what could be going wrong with ng source code.

Before print(pdic['FDF1OBS'], pdic['FDF1CAR']) returns 799.964 4.773
While after make_uc
print(uc._car, uc._obs) returns 999.9900000000001 999.99

Any help would be most appreciated!

Also, then the ppm_scale is always 1.5 to 0.5.

import nmrglue as ng
import matplotlib.pyplot as plt

dic, data = ng.varian.read("test")

udic = ng.varian.guess_udic(dic, data)
udic[0]['size'] = 22322
udic[0]['complex'] = True
udic[0]['encoding'] = 'direct'
udic[0]['sw'] = 11160.714
udic[0]['obs'] = 799.964
udic[0]['car'] = 4.773*799.964
udic[0]['label'] = 'H1'

C = ng.convert.converter()
C.from_varian(dic, data, udic)
pdic, pdata = C.to_pipe()

pdic, pdata = ng.pipe_proc.sp(pdic, pdata, off=0.35, end=0.98)
pdic, pdata = ng.pipe_proc.zf(pdic, pdata, auto=True)
pdic, pdata = ng.pipe_proc.ft(pdic, pdata, auto=True)
pdic, pdata = ng.pipe_proc.ps(pdic, pdata, p0=30.0, p1=0.0)
pdic, pdata = ng.pipe_proc.di(pdic, pdata)

print(pdic['FDF1OBS'], pdic['FDF1CAR'])
uc = ng.pipe.make_uc(pdic, pdata)
print(uc._car, uc._obs)

# Pick peaks
threshold = 10e7
peaks = ng.peakpick.pick(pdata[0], pthres=threshold, algorithm='downward')

fig = plt.figure()
ax = fig.add_subplot(111)

ax.plot(uc.ppm_scale(),pdata[0],'k-')

for n, peak in enumerate(peaks):
    height = pdata[0][int(peak['X_AXIS'])]
    ppm = uc.ppm(peak['X_AXIS'])
    ax.scatter(ppm, height, marker='o', color='r', s=100, alpha=0.5)
    ax.text(ppm, height + threshold/5, n+1)


ax.invert_xaxis()
plt.show()