def test_unflatten_function_nonflat(self):
"""unflatten will error for a nested input"""
a = dm.SpaceData()
a['1'] = dm.SpaceData(
dog=5, pig=dm.SpaceData(fish=dm.SpaceData(a='carp', b='perch')))
a['4'] = dm.SpaceData(cat='kitty')
a['5'] = 4
with self.assertRaises(TypeError):
dm.unflatten(a)
def test_unflatten_function_TypeError(self):
"""unflatten, check the try:except: at the top"""
# interesting behavior on what is created
self.assertEqual(dm.unflatten(np.arange(5)), {
0: 0,
1: 1,
2: 2,
3: 3,
4: 4
})
def test_unflatten_function(self):
"""Unflatten should unflatten a flattened SpaceData"""
a = dm.SpaceData()
a['1'] = dm.SpaceData(dog = 5, pig = dm.SpaceData(fish=dm.SpaceData(a='carp', b='perch')))
a['4'] = dm.SpaceData(cat = 'kitty')
a['5'] = 4
a[9] = dm.dmarray([1,2,3])
b = dm.flatten(a)
c = dm.unflatten(b)
self.assertTrue(9 in a.keys())
self.assertTrue(9 in c.keys())
del a[9]
del c[9]
self.assertEqual(sorted(a.keys()), sorted(c.keys()))
self.assertEqual(sorted(a['1'].keys()), sorted(c['1'].keys()))
self.assertEqual(sorted(a['1']['pig'].keys()), sorted(c['1']['pig'].keys()))
self.assertEqual(sorted(a['1']['pig']['fish'].keys()), sorted(c['1']['pig']['fish'].keys()))
def get_omni(ticks, dbase='QDhourly', **kwargs):
'''
Returns Qin-Denton OMNI values, interpolated to any time-base from a default hourly resolution
The update function in toolbox retrieves all available hourly Qin-Denton data,
and this function accesses that and interpolates to the given times,
returning the OMNI values as a SpaceData (dict-like) with
Kp, Dst, dens, velo, Pdyn, ByIMF, BzIMF, G1, G2, G3, etc.
(see also http://www.dartmouth.edu/~rdenton/magpar/index.html and
http://www.agu.org/pubs/crossref/2007/2006SW000296.shtml )
Parameters
==========
ticks : Ticktock class or array-like of datetimes
time values for desired output
dbase : str (optional)
Select data source, options are 'QDhourly', 'OMNI2', 'Mergedhourly'
Note - Custom data sources can be specified in the spacepy config file
as described in the module documentation.
Returns
=======
out : spacepy.datamodel.SpaceData
containing all Qin-Denton values at times given by ticks
Examples
========
>>> import spacepy.time as spt
>>> import spacepy.omni as om
>>> ticks = spt.Ticktock(['2002-02-02T12:00:00', '2002-02-02T12:10:00'], 'ISO')
>>> d = om.get_omni(ticks)
>>> d.tree(levels=1)
+
|____ByIMF
|____Bz1
|____Bz2
|____Bz3
|____Bz4
|____Bz5
|____Bz6
|____BzIMF
|____DOY
|____Dst
|____G1
|____G2
|____G3
|____Hr
|____Kp
|____Pdyn
|____Qbits
|____RDT
|____UTC
|____W1
|____W2
|____W3
|____W4
|____W5
|____W6
|____Year
|____akp3
|____dens
|____ticks
|____velo
Notes
=====
Note about Qbits: If the status variable is 2, the quantity you are using is fairly well
determined. If it is 1, the value has some connection to measured values, but is not directly
measured. These values are still better than just using an average value, but not as good
as those with the status variable equal to 2. If the status variable is 0, the quantity is
based on average quantities, and the values listed are no better than an average value. The
lower the status variable, the less confident you should be in the value.
'''
dbase_options = {'QDhourly' : 1,
'OMNI2hourly' : 2,
'Mergedhourly': 3,
'Test' : -9,
}
if not isinstance(ticks, spt.Ticktock):
try:
ticks = spt.Ticktock(ticks, 'UTC')
except:
raise TypeError('get_omni: Input times must be a Ticktock object or a list of datetime objects')
if not dbase in dbase_options:
from spacepy import config
if dbase in config:
#If a dbase is specified that isn't a default, then it MUST be in the spacepy config
qdpath = os.path.split(os.path.split(config[dbase])[0])[0]
if not os.path.isdir(qdpath): raise IOError('Specified dbase ({0}) does not have a valid location ({1})'.format(dbase, config[dbase]))
days = list(set([tt.date() for tt in ticks.UTC]))
flist = ['']*len(days)
fnpath, fnformat = os.path.split(config[dbase])
for idx, day in enumerate(days):
dp = fnpath.replace('YYYY', '{0}'.format(day.year))
df = fnformat.replace('YYYY', '{0}'.format(day.year))
df = df.replace('MM', '{0:02d}'.format(day.month))
df = df.replace('DD', '{0:02d}'.format(day.day))
flist[idx] = os.path.join(dp, df)
if 'convert' in kwargs:
convdict = kwargs['convert']
else:
convdict = True #set to True as default?
if 'interp' not in kwargs:
kwargs['interp'] = True
data = readJSONheadedASCII(sorted(flist), convert=convdict)
omniout = SpaceData()
time_var = [var for var in ['DateTime', 'Time', 'Epoch', 'UTC'] if var in data]
if time_var:
use_t_var = time_var[0]
else:
#no obvious time variable in input files ... can't continue
raise ValueError('No clear time variable in file')
if kwargs['interp'] is True:
data['RDT'] = spt.Ticktock(data[use_t_var]).RDT
keylist = sorted(data.keys())
dum = keylist.pop(keylist.index(use_t_var))
for key in keylist:
try:
omniout[key] = dmarray(np.interp(ticks.RDT, data['RDT'], data[key], left=np.NaN, right=np.NaN))
omniout[key].attrs = dmcopy(data[key].attrs)
except:
try:
omniout[key] = dmfilled([len(ticks.RDT), data[key].shape[1]], fillval=np.NaN, attrs=dmcopy(data[key].attrs))
for col in range(data[key].shape[1]):
omniout[key][:,col] = np.interp(ticks.RDT, data['RDT'], data[key][:,col], left=np.NaN, right=np.NaN)
except ValueError:
print('Failed to interpolate {0} to new time base, skipping variable'.format(key))
except IndexError:
print('Variable {0} appears to be non-record varying, skipping interpolation'.format(key))
omniout[key] = data[key]
omniout['UTC'] = ticks.UTC
else:
#Trim to specified times
inds = tOverlapHalf([ticks[0].RDT, ticks[-1].RDT], spt.Ticktock(data['DateTime']).RDT)
for key in data:
if len(inds) == len(data[key]):
omniout[key] = data[key][inds]
else: #is ancillary data
omniout[key] = data[key]
#TODO: convert to same format as OMNI/QD read (or vice versa)
omniout['UTC'] = omniout[use_t_var]
return omniout
else:
raise IOError('Specified dbase ({0}) must be specified in spacepy.config'.format(dbase))
def getattrs(hf, key):
out = {}
if hasattr(hf[key],'attrs'):
for kk, value in hf[key].attrs.items():
try:
out[kk] = value
except:
pass
return out
def HrFromDT(indt):
hour = indt.hour
minute = indt.minute
second = indt.second
musecond = indt.microsecond
return hour+(minute/60.0)+(second/3600.0)+(musecond/3600.0e3)
import h5py as h5
fname, QDkeylist, O2keylist = '', [], []
omnivals = SpaceData()
dbase_select = dbase_options[dbase]
if dbase_select in [1, 3, -9]:
if dbase_select > 0:
ldb = 'QDhourly'
fln = omnifln
else:
ldb = 'Test'
fln = testfln
with h5.File(fln, 'r') as hfile:
QDkeylist = [kk for kk in hfile if kk not in ['Qbits', 'UTC']]
st, en = ticks[0].RDT, ticks[-1].RDT
##check that requested requested times are within range of data
enval, stval = omnirange(dbase=ldb)[1], omnirange(dbase=ldb)[0]
if (ticks.UTC[0]>enval) or (ticks[-1]<stval):
raise ValueError('Requested dates are outside data range')
if (ticks.UTC[-1]>enval) or (ticks[0]<stval):
print('Warning: Some requested dates are outside data range ({0})'.format(ldb))
inds = tOverlapHalf([st, en], hfile['RDT'], presort=True) #returns an xrange
inds = indsFromXrange(inds)
if inds[0] < 1: inds[0] = 1
sl_op = slice(inds[0]-1, inds[-1]+2)
fname = ','.join([fname,hfile.filename])
omnivals.attrs = getattrs(hfile, '/')
for key in QDkeylist:
omnivals[key] = dmarray(hfile[key][sl_op]) #TODO: add attrs from h5
omnivals[key].attrs = getattrs(hfile, key)
for key in hfile['Qbits']:
omnivals['Qbits<--{0}'.format(key)] = dmarray(hfile['/Qbits/{0}'.format(key)][sl_op])
omnivals['Qbits<--{0}'.format(key)].attrs = getattrs(hfile, '/Qbits/{0}'.format(key))
QDkeylist.append('Qbits<--{0}'.format(key))
if dbase_options[dbase] == 2 or dbase_options[dbase] == 3:
ldb = 'OMNI2hourly'
with h5.File(omni2fln) as hfile:
O2keylist = [kk for kk in hfile if kk not in ['Epoch','RDT']]
st, en = ticks[0].RDT, ticks[-1].RDT
##check that requested requested times are within range of data
enval, stval = omnirange(dbase=ldb)[1], omnirange(dbase=ldb)[0]
if (ticks[0].UTC>enval) or (ticks[-1]<stval):
raise ValueError('Requested dates are outside data range')
if (ticks[-1].UTC>enval) or (ticks[0]<stval):
print('Warning: Some requested dates are outside data range ({0})'.format(ldb))
inds = tOverlapHalf([st, en], hfile['RDT'], presort=True) #returns an xrange
inds = indsFromXrange(inds)
if inds[0] < 1: inds[0] = 1
sl_op = slice(inds[0]-1, inds[-1]+2)
fname = ','.join([fname,hfile.filename])
omnivals.attrs = getattrs(hfile, '/') #TODO: This overwrites the previous set on Merged load... Fix!
omnivals['RDT_OMNI'] = dmarray(hfile['RDT'][sl_op])
for key in O2keylist:
omnivals[key] = dmarray(hfile[key][sl_op]) #TODO: add attrs from h5
omnivals[key].attrs = getattrs(hfile, key)
if dbase_options[dbase] == 3:
#prune "merged" SpaceData
sigmas = [key for key in omnivals if 'sigma' in key]
for sk in sigmas: del omnivals[sk]
bees = [key for key in omnivals if re.search('B._', key)]
for bs in bees: del omnivals[bs]
aves = [key for key in omnivals if ('_ave' in key) or ('ave_' in key)]
for av in aves: del omnivals[av]
omniout = SpaceData(attrs=dmcopy(omnivals.attrs))
omniout.attrs['filename'] = fname[1:]
###print('QDkeys: {0}\n\nO2keys: {1}'.format(QDkeylist, O2keylist))
for key in sorted(omnivals.keys()):
if key in O2keylist:
omniout[key] = dmarray(np.interp(ticks.RDT, omnivals['RDT_OMNI'], omnivals[key], left=np.NaN, right=np.NaN))
#set metadata -- assume this has been set properly in d/l'd file to match ECT-SOC files
omniout[key].attrs = dmcopy(omnivals[key].attrs)
elif key in QDkeylist:
omniout[key] = dmarray(np.interp(ticks.RDT, omnivals['RDT'], omnivals[key], left=np.NaN, right=np.NaN))
omniout[key].attrs = dmcopy(omnivals[key].attrs)
if key == 'G3': #then we have all the Gs
omniout['G'] = dmarray(np.vstack([omniout['G1'], omniout['G2'], omniout['G3']]).T)
omniout['G'].attrs = dmcopy(omnivals['G1'].attrs)
for i in range(1,4): del omniout['G{0}'.format(i)]
if key == 'W6':
omniout['W'] = dmarray(np.vstack([omniout['W1'], omniout['W2'], omniout['W3'], omniout['W4'], omniout['W5'], omniout['W6']]).T)
omniout['W'].attrs = dmcopy(omnivals['W1'].attrs)
for i in range(1,7): del omniout['W{0}'.format(i)]
if 'Qbits' in key:
#Qbits are integer vals, higher is better, so floor to get best representation of interpolated val
omniout[key] = np.floor(omnivals[key])
omniout[key].attrs = dmcopy(omnivals[key].attrs)
if 'G3' in key: #then we have all the Gs
omniout['Qbits<--G'] = dmarray(np.vstack([omniout['Qbits<--G1'], omniout['Qbits<--G2'], omniout['Qbits<--G3']]).T)
for i in range(1,4): del omniout['Qbits<--G{0}'.format(i)]
if 'W6' in key:
omniout['Qbits<--W'] = dmarray(np.vstack([omniout['Qbits<--W1'], omniout['Qbits<--W2'], omniout['Qbits<--W3'], omniout['Qbits<--W4'], omniout['Qbits<--W5'], omniout['Qbits<--W6']]).T)
for i in range(1,7): del omniout['Qbits<--W{0}'.format(i)]
omniout['ticks'] = ticks
omniout['UTC'] = ticks.UTC
omniout['Hr'] = dmarray([HrFromDT(val) for val in omniout['UTC']])
omniout['Year'] = dmarray([val.year for val in omniout['UTC']])
omniout = unflatten(omniout)
return omniout
def get_omni(ticks, dbase='QDhourly', **kwargs):
'''
Returns Qin-Denton OMNI values, interpolated to any time-base from a default hourly resolution
The update function in toolbox retrieves all available hourly Qin-Denton data,
and this function accesses that and interpolates to the given times,
returning the OMNI values as a SpaceData (dict-like) with
Kp, Dst, dens, velo, Pdyn, ByIMF, BzIMF, G1, G2, G3, etc.
(see also http://www.dartmouth.edu/~rdenton/magpar/index.html and
http://www.agu.org/pubs/crossref/2007/2006SW000296.shtml )
Parameters
==========
ticks : Ticktock class or array-like of datetimes
time values for desired output
dbase : str (optional)
Select data source, options are 'QDhourly', 'OMNI2hourly', 'Mergedhourly'
Note - Custom data sources can be specified in the spacepy config file
as described in the module documentation.
Returns
=======
out : spacepy.datamodel.SpaceData
containing all Qin-Denton values at times given by ticks
Examples
========
>>> import spacepy.time as spt
>>> import spacepy.omni as om
>>> ticks = spt.Ticktock(['2002-02-02T12:00:00', '2002-02-02T12:10:00'], 'ISO')
>>> d = om.get_omni(ticks)
>>> d.tree(levels=1)
+
|____ByIMF
|____Bz1
|____Bz2
|____Bz3
|____Bz4
|____Bz5
|____Bz6
|____BzIMF
|____DOY
|____Dst
|____G1
|____G2
|____G3
|____Hr
|____Kp
|____Pdyn
|____Qbits
|____RDT
|____UTC
|____W1
|____W2
|____W3
|____W4
|____W5
|____W6
|____Year
|____akp3
|____dens
|____ticks
|____velo
Notes
=====
Note about Qbits: If the status variable is 2, the quantity you are using is fairly well
determined. If it is 1, the value has some connection to measured values, but is not directly
measured. These values are still better than just using an average value, but not as good
as those with the status variable equal to 2. If the status variable is 0, the quantity is
based on average quantities, and the values listed are no better than an average value. The
lower the status variable, the less confident you should be in the value.
'''
dbase_options = {
'QDhourly': 1,
'OMNI2hourly': 2,
'Mergedhourly': 3,
'Test': -9,
}
if not isinstance(ticks, spt.Ticktock):
try:
ticks = spt.Ticktock(ticks, 'UTC')
except:
raise TypeError(
'get_omni: Input times must be a Ticktock object or a list of datetime objects'
)
if not dbase in dbase_options:
from spacepy import config
if dbase in config:
#If a dbase is specified that isn't a default, then it MUST be in the spacepy config
qdpath = os.path.split(os.path.split(config[dbase])[0])[0]
if not os.path.isdir(qdpath):
raise IOError(
'Specified dbase ({0}) does not have a valid location ({1})'
.format(dbase, config[dbase]))
days = list(set([tt.date() for tt in ticks.UTC]))
flist = [''] * len(days)
fnpath, fnformat = os.path.split(config[dbase])
for idx, day in enumerate(days):
dp = fnpath.replace('YYYY', '{0}'.format(day.year))
df = fnformat.replace('YYYY', '{0}'.format(day.year))
df = df.replace('MM', '{0:02d}'.format(day.month))
df = df.replace('DD', '{0:02d}'.format(day.day))
flist[idx] = os.path.join(dp, df)
if 'convert' in kwargs:
convdict = kwargs['convert']
else:
convdict = True #set to True as default?
if 'interp' not in kwargs:
kwargs['interp'] = True
data = readJSONheadedASCII(sorted(flist), convert=convdict)
omniout = SpaceData()
time_var = [
var for var in ['DateTime', 'Time', 'Epoch', 'UTC']
if var in data
]
if time_var:
use_t_var = time_var[0]
else:
#no obvious time variable in input files ... can't continue
raise ValueError('No clear time variable in file')
if kwargs['interp'] is True:
data['RDT'] = spt.Ticktock(data[use_t_var]).RDT
keylist = sorted(data.keys())
dum = keylist.pop(keylist.index(use_t_var))
for key in keylist:
try:
omniout[key] = dmarray(
np.interp(ticks.RDT,
data['RDT'],
data[key],
left=np.NaN,
right=np.NaN))
omniout[key].attrs = dmcopy(data[key].attrs)
except:
try:
omniout[key] = dmfilled(
[len(ticks.RDT), data[key].shape[1]],
fillval=np.NaN,
attrs=dmcopy(data[key].attrs))
for col in range(data[key].shape[1]):
omniout[key][:,
col] = np.interp(ticks.RDT,
data['RDT'],
data[key][:,
col],
left=np.NaN,
right=np.NaN)
except ValueError:
print(
'Failed to interpolate {0} to new time base, skipping variable'
.format(key))
except IndexError:
print(
'Variable {0} appears to be non-record varying, skipping interpolation'
.format(key))
omniout[key] = data[key]
omniout['UTC'] = ticks.UTC
else:
#Trim to specified times
inds = tOverlapHalf([ticks[0].RDT, ticks[-1].RDT],
spt.Ticktock(data['DateTime']).RDT)
for key in data:
if len(inds) == len(data[key]):
omniout[key] = data[key][inds]
else: #is ancillary data
omniout[key] = data[key]
#TODO: convert to same format as OMNI/QD read (or vice versa)
omniout['UTC'] = omniout[use_t_var]
return omniout
else:
raise IOError(
'Specified dbase ({0}) must be specified in spacepy.config'.
format(dbase))
def getattrs(hf, key):
out = {}
if hasattr(hf[key], 'attrs'):
for kk, value in hf[key].attrs.items():
try:
out[kk] = value
except:
pass
return out
def HrFromDT(indt):
hour = indt.hour
minute = indt.minute
second = indt.second
musecond = indt.microsecond
return hour + (minute / 60.0) + (second / 3600.0) + (musecond /
3600.0e3)
import h5py as h5
fname, QDkeylist, O2keylist = '', [], []
omnivals = SpaceData()
dbase_select = dbase_options[dbase]
if dbase_select in [1, 3, -9]:
if dbase_select > 0:
ldb = 'QDhourly'
fln = omnifln
else:
ldb = 'Test'
fln = testfln
with h5.File(fln, 'r') as hfile:
QDkeylist = [kk for kk in hfile if kk not in ['Qbits', 'UTC']]
st, en = ticks[0].RDT, ticks[-1].RDT
##check that requested requested times are within range of data
enval, stval = omnirange(dbase=ldb)[1], omnirange(dbase=ldb)[0]
if (ticks.UTC[0] > enval) or (ticks[-1] < stval):
raise ValueError('Requested dates are outside data range')
if (ticks.UTC[-1] > enval) or (ticks[0] < stval):
print(
'Warning: Some requested dates are outside data range ({0})'
.format(ldb))
inds = tOverlapHalf([st, en], hfile['RDT'],
presort=True) #returns an xrange
inds = indsFromXrange(inds)
if inds[0] < 1: inds[0] = 1
sl_op = slice(inds[0] - 1, inds[-1] + 2)
fname = ','.join([fname, hfile.filename])
omnivals.attrs = getattrs(hfile, '/')
for key in QDkeylist:
omnivals[key] = dmarray(
hfile[key][sl_op]) #TODO: add attrs from h5
omnivals[key].attrs = getattrs(hfile, key)
for key in hfile['Qbits']:
omnivals['Qbits<--{0}'.format(key)] = dmarray(
hfile['/Qbits/{0}'.format(key)][sl_op])
omnivals['Qbits<--{0}'.format(key)].attrs = getattrs(
hfile, '/Qbits/{0}'.format(key))
QDkeylist.append('Qbits<--{0}'.format(key))
if dbase_options[dbase] == 2 or dbase_options[dbase] == 3:
ldb = 'OMNI2hourly'
with h5.File(omni2fln) as hfile:
O2keylist = [kk for kk in hfile if kk not in ['Epoch', 'RDT']]
st, en = ticks[0].RDT, ticks[-1].RDT
##check that requested requested times are within range of data
enval, stval = omnirange(dbase=ldb)[1], omnirange(dbase=ldb)[0]
if (ticks[0].UTC > enval) or (ticks[-1] < stval):
raise ValueError('Requested dates are outside data range')
if (ticks[-1].UTC > enval) or (ticks[0] < stval):
print(
'Warning: Some requested dates are outside data range ({0})'
.format(ldb))
inds = tOverlapHalf([st, en], hfile['RDT'],
presort=True) #returns an xrange
inds = indsFromXrange(inds)
if inds[0] < 1: inds[0] = 1
sl_op = slice(inds[0] - 1, inds[-1] + 2)
fname = ','.join([fname, hfile.filename])
omnivals.attrs = getattrs(
hfile, '/'
) #TODO: This overwrites the previous set on Merged load... Fix!
omnivals['RDT_OMNI'] = dmarray(hfile['RDT'][sl_op])
for key in O2keylist:
omnivals[key] = dmarray(
hfile[key][sl_op]) #TODO: add attrs from h5
omnivals[key].attrs = getattrs(hfile, key)
if dbase_options[dbase] == 3:
#prune "merged" SpaceData
sigmas = [key for key in omnivals if 'sigma' in key]
for sk in sigmas:
del omnivals[sk]
bees = [key for key in omnivals if re.search('B._', key)]
for bs in bees:
del omnivals[bs]
aves = [key for key in omnivals if ('_ave' in key) or ('ave_' in key)]
for av in aves:
del omnivals[av]
omniout = SpaceData(attrs=dmcopy(omnivals.attrs))
omniout.attrs['filename'] = fname[1:]
###print('QDkeys: {0}\n\nO2keys: {1}'.format(QDkeylist, O2keylist))
for key in sorted(omnivals.keys()):
if key in O2keylist:
omniout[key] = dmarray(
np.interp(ticks.RDT,
omnivals['RDT_OMNI'],
omnivals[key],
left=np.NaN,
right=np.NaN))
#set metadata -- assume this has been set properly in d/l'd file to match ECT-SOC files
omniout[key].attrs = dmcopy(omnivals[key].attrs)
elif key in QDkeylist:
omniout[key] = dmarray(
np.interp(ticks.RDT,
omnivals['RDT'],
omnivals[key],
left=np.NaN,
right=np.NaN))
omniout[key].attrs = dmcopy(omnivals[key].attrs)
if key == 'G3': #then we have all the Gs
omniout['G'] = dmarray(
np.vstack([omniout['G1'], omniout['G2'], omniout['G3']]).T)
omniout['G'].attrs = dmcopy(omnivals['G1'].attrs)
for i in range(1, 4):
del omniout['G{0}'.format(i)]
if key == 'W6':
omniout['W'] = dmarray(
np.vstack([
omniout['W1'], omniout['W2'], omniout['W3'], omniout['W4'],
omniout['W5'], omniout['W6']
]).T)
omniout['W'].attrs = dmcopy(omnivals['W1'].attrs)
for i in range(1, 7):
del omniout['W{0}'.format(i)]
if 'Qbits' in key:
#Qbits are integer vals, higher is better, so floor to get best representation of interpolated val
omniout[key] = np.floor(omnivals[key])
omniout[key].attrs = dmcopy(omnivals[key].attrs)
if 'G3' in key: #then we have all the Gs
omniout['Qbits<--G'] = dmarray(
np.vstack([
omniout['Qbits<--G1'], omniout['Qbits<--G2'],
omniout['Qbits<--G3']
]).T)
for i in range(1, 4):
del omniout['Qbits<--G{0}'.format(i)]
if 'W6' in key:
omniout['Qbits<--W'] = dmarray(
np.vstack([
omniout['Qbits<--W1'], omniout['Qbits<--W2'],
omniout['Qbits<--W3'], omniout['Qbits<--W4'],
omniout['Qbits<--W5'], omniout['Qbits<--W6']
]).T)
for i in range(1, 7):
del omniout['Qbits<--W{0}'.format(i)]
omniout['ticks'] = ticks
omniout['UTC'] = ticks.UTC
omniout['Hr'] = dmarray([HrFromDT(val) for val in omniout['UTC']])
omniout['Year'] = dmarray([val.year for val in omniout['UTC']])
omniout = unflatten(omniout)
return omniout
