def get_data(self, tilt:int, drange:Number_T, dtype:str) -> Radial:
if isinstance(dtype, str):
self.dtype = dtype.upper().encode()
elif isinstance(dtype, bytes):
self.dtype = dtype.upper()
if self.dtype in [b'REF', b'VEL', b'ZDR', b'PHI', b'RHO']:
if self.dtype in [b'ZDR', b'PHI', b'RHO'] and tilt in [1, 3]:
tilt -= 1
warnings.warn('Elevation angle {} does not contain {} data, automatically switch to tilt {}'.format(
tilt + 1, self.dtype.decode(), tilt))
elif self.dtype in [b'VEL', b'SW'] and tilt in [0, 2]:
tilt += 1
warnings.warn('Elevation angle {} does not contain {} data, automatically switch to tilt {}'.format(
tilt - 1, self.dtype.decode(), tilt))
hdr = self.f.sweeps[tilt][0][4][self.dtype][0]
self.reso = hdr.gate_width
raw = np.array([ray[4][self.dtype][1] for ray in self.f.sweeps[tilt]])
else:
raise RadarDecodeError('Unsupported data type {}'.format(self.dtype.decode()))
cut = raw[:, :int(drange / self.reso)]
masked = np.ma.array(cut, mask=np.isnan(cut))
self.tilt = tilt
self.drange = drange
self.elev = self.el[tilt]
x, y, z, d, a = self.projection(self.reso)
radial = Radial(masked, drange, self.elev, self.reso, self.name, self.name, self.scantime, self.dtype.decode(),
self.stationlon, self.stationlat, x, y, a_reso=720)
radial.add_polarc(d, a)
return radial
def get_data(self, tilt:int, drange:Number_T, dtype:str) -> Radial:
r'''
Get radar data
Parameters
----------
tilt: int
index of elevation angle
drange: float
radius of data
dtype: str
type of product (REF, VEL, etc.)
Returns
-------
r_obj: cinrad.datastruct.Radial
'''
task = getattr(self, 'task_name', None)
reso = self.Rreso if dtype == 'REF' else self.Vreso
ret = self.get_raw(tilt, drange, dtype)
shape = ret[0].shape[1] if isinstance(ret, tuple) else ret.shape[1]
r_obj = Radial(ret, int(np.round(shape * reso)), self.elev, reso, self.code, self.name, self.scantime, dtype,
self.stationlon, self.stationlat, nyquist_velocity=self.nyquist_v[tilt], task=task)
x, y, z, d, a = self.projection(reso)
r_obj.add_geoc(x, y, z)
r_obj.add_polarc(d, a)
if self.radartype == 'CC':
r_obj.a_reso = 512
return r_obj
def get_data(self, tilt, drange, dtype):
r'''
Get radar raw data
Parameters
----------
tilt: int
index of elevation angle
drange: float
radius of data
dtype: str
type of product (REF, VEL, etc.)
Returns
-------
r_obj: cinrad.datastruct.Radial
'''
rf_flag = False
self.tilt = tilt
reso = self.Rreso if dtype == 'REF' else self.Vreso
dmax = np.round(self.data[tilt][dtype][0].shape[0] * reso)
if dmax < drange:
warnings.warn('Requested data range exceed max range in this tilt')
self.drange = drange
self.elev = self.el[tilt]
try:
data = np.ma.array(self.data[tilt][dtype])
except KeyError:
raise RadarDecodeError('Invalid product name')
length = data.shape[1] * reso
cut = data.T[:int(np.round(drange / reso))]
shape_diff = np.round(drange / reso) - cut.shape[0]
append = np.zeros(
(int(np.round(shape_diff)), cut.shape[1])) * np.ma.masked
if dtype == 'VEL':
try:
rf = self.data[tilt]['RF']
except KeyError:
pass
else:
rf_flag = True
rf = rf.T[:int(np.round(drange / reso))]
rf = np.ma.vstack([rf, append])
#r = np.ma.array(cut, mask=np.isnan(cut))
r = np.ma.vstack([cut, append])
if rf_flag:
r.mask = np.logical_or(r.mask, ~rf.mask)
ret = (r.T, rf.T)
else:
ret = r.T
r_obj = Radial(ret, int(np.round(r.shape[0] * reso)), self.elev, reso,
self.code, self.name, self.scantime, dtype,
self.stationlon, self.stationlat)
x, y, z, d, a = self.projection(reso)
r_obj.add_geoc(x, y, z)
r_obj.add_polarc(d, a)
if self.radartype == 'CC':
r_obj.a_reso = 512
return r_obj
def get_data(
self, tilt: int, drange: Number_T, dtype: str
) -> Union[Radial, Slice_]:
r"""
Get radar data
Parameters
----------
tilt: int
index of elevation angle
drange: float
radius of data
dtype: str
type of product (REF, VEL, etc.)
Returns
-------
r_obj: cinrad.datastruct.Radial
"""
reso = self.scan_config[tilt].dop_reso / 1000
ret = self.get_raw(tilt, drange, dtype)
if self.scan_type == "PPI":
shape = ret[0].shape[1] if isinstance(ret, tuple) else ret.shape[1]
r_obj = Radial(
ret,
int(shape * reso),
self.elev,
reso,
self.code,
self.name,
self.scantime,
dtype,
self.stationlon,
self.stationlat,
nyquist_velocity=self.scan_config[tilt].nyquist_spd,
task=self.task_name,
)
x, y, z, d, a = self.projection(reso)
r_obj.add_geoc(x, y, z)
r_obj.add_polarc(d, a)
return r_obj
else:
# Manual projection
shape = ret[0].shape[1] if isinstance(ret, tuple) else ret.shape[1]
dist = np.linspace(reso, self.drange, ret.shape[1])
d, e = np.meshgrid(dist, self.aux[tilt]["elevation"])
h = height(d, e, 0)
rhi = Slice_(
ret,
d,
h,
self.scantime,
self.code,
self.name,
dtype,
azimuth=self.aux[tilt]["azimuth"][0],
)
return rhi
def get_data(self, tilt, drange, dtype):
r'''
Get radar raw data
Parameters
----------
tilt: int
index of elevation angle
drange: float
radius of data
dtype: str
type of product (REF, VEL, etc.)
Returns
-------
r_obj: cinrad.datastruct.Radial
'''
self.tilt = tilt
self.drange = drange
self.elev = self.el[tilt]
try:
raw = np.array(self.data[tilt][dtype])
except KeyError:
raise RadarDecodeError('Invalid product name')
if raw.size == 0:
warnings.warn('Empty data', RuntimeWarning)
data = np.ma.array(raw, mask=(raw <= 5))
reso = self.scan_config[tilt].dop_reso / 1000
cut = data[:, :int(drange / reso)]
shape_diff = np.round(drange / reso) - cut.shape[1]
append = np.zeros((cut.shape[0], int(shape_diff))) * np.ma.masked
if dtype == 'VEL':
rf = np.ma.array(cut.data, mask=(cut.data != 1))
rf = np.ma.hstack([rf, append])
cut = np.ma.hstack([cut, append])
scale, offset = self.aux[tilt][dtype]
r = (cut - offset) / scale
if dtype == 'VEL':
ret = (r, rf)
else:
ret = r
r_obj = Radial(ret, int(r.shape[1] * reso), self.elev, reso, self.code,
self.name, self.scantime, dtype, self.stationlon,
self.stationlat)
x, y, z, d, a = self.projection(reso)
r_obj.add_geoc(x, y, z)
r_obj.add_polarc(d, a)
return r_obj
def get_data(self, tilt, drange, dtype):
r'''
Get radar raw data
Parameters
----------
tilt: int
index of elevation angle
drange: float
radius of data
dtype: str
type of product (REF, VEL, etc.)
Returns
-------
r_obj: cinrad.datastruct.Radial
'''
self.tilt = tilt
self.drange = drange
self.elev = self.el[tilt]
try:
data = np.array(self.data[tilt][dtype])
except KeyError:
raise RadarDecodeError('Invalid product name')
if data.size == 0:
raise RadarDecodeError(
'Current elevation does not contain this data.')
reso = self.scanconfig[tilt]['radial_reso']
length = data.shape[1] * reso
cut = data[:, :int(drange / reso)]
r = np.ma.array(cut, mask=np.isnan(cut))
r_obj = Radial(r, int(r.shape[0] * reso), self.elev, reso, self.code,
self.name, self.scantime, dtype, self.stationlon,
self.stationlat)
x, y, z, d, a = self.projection(reso)
r_obj.add_geoc(x, y, z)
r_obj.add_polarc(d, a)
return r_obj
def get_data(self, tilt: int, drange: number_type, dtype: str) -> Radial:
r'''
Get radar raw data
Parameters
----------
tilt: int
index of elevation angle
drange: float
radius of data
dtype: str
type of product (REF, VEL, etc.)
Returns
-------
r_obj: cinrad.datastruct.Radial
'''
self.tilt = tilt if self.scan_type == 'PPI' else 0
self.drange = drange
if self.scan_type == 'RHI':
max_range = self.scan_config[0].max_range1 / 1000
if drange > max_range:
drange = max_range
self.elev = self.el[tilt]
try:
raw = np.array(self.data[tilt][dtype])
except KeyError:
raise RadarDecodeError('Invalid product name')
if raw.size == 0:
warnings.warn('Empty data', RuntimeWarning)
data = np.ma.array(raw, mask=(raw <= 5))
reso = self.scan_config[tilt].dop_reso / 1000
cut = data[:, :int(drange / reso)]
shape_diff = np.round(drange / reso) - cut.shape[1]
append = np.zeros((cut.shape[0], int(shape_diff))) * np.ma.masked
if dtype == 'VEL':
rf = np.ma.array(cut.data, mask=(cut.data != 1))
rf = np.ma.hstack([rf, append])
cut = np.ma.hstack([cut, append])
scale, offset = self.aux[tilt][dtype]
r = (cut - offset) / scale
if dtype in ['VEL', 'SW']:
ret = (r, rf)
else:
ret = r
if self.scan_type == 'PPI':
r_obj = Radial(ret,
int(r.shape[1] * reso),
self.elev,
reso,
self.code,
self.name,
self.scantime,
dtype,
self.stationlon,
self.stationlat,
nyquist_velocity=self.scan_config[tilt].nyquist_spd)
x, y, z, d, a = self.projection(reso)
r_obj.add_geoc(x, y, z)
r_obj.add_polarc(d, a)
return r_obj
else:
# Manual projection
dist = np.linspace(reso, self.drange, cut.shape[1])
d, e = np.meshgrid(dist, self.aux[tilt]['elevation'])
h = height(d, e, 0)
rhi = Slice_(ret,
d,
h,
self.scantime,
self.code,
self.name,
dtype,
azimuth=self.aux[tilt]['azimuth'][0])
return rhi