Here are the examples of the python api numpy.array.T taken from open source projects. By voting up you can indicate which examples are most useful and appropriate.
145 Examples
3
View Complete Implementation : itu840.py
Copyright MIT License
Author : iportillo
Copyright MIT License
Author : iportillo
def Lred(self, lat, lon, p):
if not self._Lred:
ps = [0.1, 0.2, 0.3, 0.5, 1, 2, 3, 5, 10, 20, 30,
50, 60, 70, 80, 90, 95]
d_dir = os.path.join(dataset_dir, '840/v6_Lred_%s.txt')
lats = load_data(os.path.join(dataset_dir, '840/v6_Lat.txt'))
lons = load_data(os.path.join(dataset_dir, '840/v6_Lon.txt'))
for p_load in ps:
vals = load_data(d_dir % (str(p_load).replace('.', '')))
self._Lred[float(p_load)] = bilinear_2D_interpolator(
lats, lons, vals)
return self._Lred[float(p)](
np.array([lat.ravel(), lon.ravel()]).T).reshape(lat.shape)
3
View Complete Implementation : itu836.py
Copyright MIT License
Author : iportillo
Copyright MIT License
Author : iportillo
def rho(self, lat, lon, p):
if not self._rho:
ps = [0.1, 0.2, 0.3, 0.5, 1, 2, 3, 5, 10, 20, 30,
50, 60, 70, 80, 90, 95, 99]
d_dir = os.path.join(dataset_dir, '836/v5_RHO_%s.txt')
lats = load_data(os.path.join(dataset_dir, '836/v5_Lat.txt'))
lons = load_data(os.path.join(dataset_dir, '836/v5_Lon.txt'))
for p_loads in ps:
vals = load_data(d_dir % (str(p_loads).replace('.', '')))
self._rho[float(p_loads)] = bilinear_2D_interpolator(
lats, lons, vals)
return self._rho[float(p)](
np.array([lat.ravel(), lon.ravel()]).T).reshape(lat.shape)
3
View Complete Implementation : itu453.py
Copyright MIT License
Author : iportillo
Copyright MIT License
Author : iportillo
def DN65(self, lat, lon, p):
if not self._DN65:
ps = [0.1, 0.2, 0.5, 1, 2, 5, 10, 20, 30, 40, 50, 60, 70, 80,
90, 95, 98, 99, 99.5, 99.8, 99.9]
d_dir = os.path.join(dataset_dir, '453/v12_DN65m_%02dd%02d_v1.txt')
lats = load_data(os.path.join(dataset_dir, '453/v12_lat0d75.txt'))
lons = load_data(os.path.join(dataset_dir, '453/v12_lon0d75.txt'))
for p_loads in ps:
int_p = p_loads // 1
frac_p = round((p_loads % 1.0) * 100)
vals = load_data(d_dir % (int_p, frac_p))
self._DN65[float(p_loads)] = bilinear_2D_interpolator(
lats, lons, vals)
return self._DN65[float(p)](
np.array([lat.ravel(), lon.ravel()]).T).reshape(lat.shape)
3
View Complete Implementation : itu840.py
Copyright MIT License
Author : iportillo
Copyright MIT License
Author : iportillo
def Lred(self, lat, lon, p):
if not self._Lred:
ps = [0.1, 0.2, 0.3, 0.5, 1, 2, 3, 5, 10, 20, 30,
50, 60, 70, 80, 90, 95]
d_dir = os.path.join(dataset_dir, '840/v7_Lred_%s.txt')
lats = load_data(os.path.join(dataset_dir, '840/v7_Lat.txt'))
lons = load_data(os.path.join(dataset_dir, '840/v7_Lon.txt'))
for p_load in ps:
vals = load_data(d_dir % (str(p_load).replace('.', '')))
self._Lred[float(p_load)] = bilinear_2D_interpolator(
lats, lons, vals)
return self._Lred[float(p)](
np.array([lat.ravel(), lon.ravel()]).T).reshape(lat.shape)
3
View Complete Implementation : itu836.py
Copyright MIT License
Author : iportillo
Copyright MIT License
Author : iportillo
def VSCH(self, lat, lon, p):
if not self._VSCH:
ps = [0.1, 0.2, 0.3, 0.5, 1, 2, 3, 5, 10, 20, 30,
50, 60, 70, 80, 90, 95, 99]
d_dir = os.path.join(dataset_dir, '836/v5_VSCH_%s.txt')
lats = load_data(os.path.join(dataset_dir, '836/v5_Lat.txt'))
lons = load_data(os.path.join(dataset_dir, '836/v5_Lon.txt'))
for p_loads in ps:
vals = load_data(d_dir % (str(p_loads).replace('.', '')))
self._VSCH[float(p_loads)] = bilinear_2D_interpolator(
lats, lons, vals)
return self._VSCH[float(p)](
np.array([lat.ravel(), lon.ravel()]).T).reshape(lat.shape)
3
View Complete Implementation : itu837.py
Copyright MIT License
Author : iportillo
Copyright MIT License
Author : iportillo
def Pr6(self, lat, lon):
if not self._Pr6:
vals = load_data(os.path.join(dataset_dir,
'837/ESARAIN_PR6_v5.txt'))
lats = load_data(os.path.join(dataset_dir,
'837/ESARAIN_LAT_v5.txt'))
lons = load_data(os.path.join(dataset_dir,
'837/ESARAIN_LON_v5.txt'))
self._Pr6 = bilinear_2D_interpolator(lats, lons, vals)
return self._Pr6(
np.array([lat.ravel(), lon.ravel()]).T).reshape(lat.shape)
3
View Complete Implementation : itu840.py
Copyright MIT License
Author : iportillo
Copyright MIT License
Author : iportillo
def Lred(self, lat, lon, p):
if not self._Lred:
ps = [0.1, 0.2, 0.3, 0.5, 1, 2, 3, 5, 10, 20, 30,
50, 60, 70, 80, 90, 95]
d_dir = os.path.join(dataset_dir, '840/v4_ESAWRED_%s.txt')
lats = load_data(os.path.join(dataset_dir, '840/v4_Lat.txt'))
lons = load_data(os.path.join(dataset_dir, '840/v4_Lon.txt'))
for p_load in ps:
vals = load_data(d_dir % (str(p_load).replace('.', '')))
self._Lred[float(p_load)] = bilinear_2D_interpolator(
lats, lons, vals)
return self._Lred[float(p)](
np.array([lat.ravel(), lon.ravel()]).T).reshape(lat.shape)
3
View Complete Implementation : itu840.py
Copyright MIT License
Author : iportillo
Copyright MIT License
Author : iportillo
def Pclw(self, lat, lon):
if not self._Pclw:
vals = load_data(os.path.join(dataset_dir,
'840/v4_WRED_LOGNORMAL_PCLW.txt'))
lats = load_data(os.path.join(dataset_dir, '840/v6_Lat.txt'))
lons = load_data(os.path.join(dataset_dir, '840/v6_Lon.txt'))
self._Pclw = bilinear_2D_interpolator(lats, lons, vals)
return self._Pclw(
np.array([lat.ravel(), lon.ravel()]).T).reshape(lat.shape)
3
View Complete Implementation : itu839.py
Copyright MIT License
Author : iportillo
Copyright MIT License
Author : iportillo
def isoterm_0(self, lat, lon):
if not self._zero_isoterm_data:
vals = load_data(os.path.join(dataset_dir,
'839/v4_ESA0HEIGHT.txt'))
lats = load_data(os.path.join(dataset_dir, '839/v4_ESALAT.txt'))
lons = load_data(os.path.join(dataset_dir, '839/v4_ESALON.txt'))
self._zero_isoterm_data = bilinear_2D_interpolator(
lats, lons, vals)
return self._zero_isoterm_data(
np.array([lat.ravel(), lon.ravel()]).T).reshape(lat.shape)
3
View Complete Implementation : itu840.py
Copyright MIT License
Author : iportillo
Copyright MIT License
Author : iportillo
def Lred(self, lat, lon, p):
if not self._Lred:
ps = [0.1, 0.2, 0.3, 0.5, 1, 2, 3, 5, 10, 20, 30,
50, 60, 70, 80, 90, 95]
d_dir = os.path.join(dataset_dir, '840/v4_ESAWRED_%s.txt')
lats = load_data(os.path.join(dataset_dir, '840/v4_Lat.txt'))
lons = load_data(os.path.join(dataset_dir, '840/v4_Lon.txt'))
for p_load in ps:
vals = load_data(d_dir % (str(p_load).replace('.', '')))
self._Lred[float(p_load)] = bilinear_2D_interpolator(
lats, lons, vals)
return self._Lred[float(p)](
np.array([lat.ravel(), lon.ravel()]).T).reshape(lat.shape)