def test_thetae():
input_p = 925
input_t = 7
input_td = 3
correct_t = 28.864469418729357
returned_t = thermo.thetae(input_p, input_t, input_td)
npt.assert_almost_equal(returned_t, correct_t)
input_p = 950
input_t = 20
input_td = 14
correct_t = 57.68849564698746
returned_t = thermo.thetae(input_p, input_t, input_td)
npt.assert_almost_equal(returned_t, correct_t)
def test_thetae():
input_p = 925
input_t = 7
input_td = 3
correct_t = 28.864469418729357
returned_t = thermo.thetae(input_p, input_t, input_td)
npt.assert_almost_equal(returned_t, correct_t)
input_p = 950
input_t = 20
input_td = 14
correct_t = 57.68849564698746
returned_t = thermo.thetae(input_p, input_t, input_td)
npt.assert_almost_equal(returned_t, correct_t)
def get_thetae_profile(self):
'''
Function to calculate the theta-e profile.
Parameters
----------
None
Returns
-------
Array of theta-e profile
'''
thetae = ma.empty(self.pres.shape[0])
for i in range(len(self.v)):
thetae[i] = thermo.ctok( thermo.thetae(self.pres[i], self.tmpc[i], self.dwpc[i]) )
thetae[thetae == self.missing] = ma.masked
thetae.set_fill_value(self.missing)
return thetae
def get_thetae_profile(self):
'''
Function to calculate the theta-e profile.
Parameters
----------
None
Returns
-------
Array of theta-e profile
'''
thetae = ma.empty(self.pres.shape[0])
for i in range(len(self.v)):
thetae[i] = thermo.ctok( thermo.thetae(self.pres[i], self.tmpc[i], self.dwpc[i]) )
thetae[thetae == self.missing] = ma.masked
thetae.set_fill_value(self.missing)
return thetae
''' Create the Sounding (Profile) Object '''
