本文整理汇总了Python中sklearn.pipeline.Pipeline.position_angle方法的典型用法代码示例。如果您正苦于以下问题：Python Pipeline.position_angle方法的具体用法？Python Pipeline.position_angle怎么用？Python Pipeline.position_angle使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.pipeline.Pipeline的用法示例。
在下文中一共展示了Pipeline.position_angle方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from sklearn.pipeline import Pipeline [as 别名]
# 或者: from sklearn.pipeline.Pipeline import position_angle [as 别名]
def main():
args = get_args()
equatorial_coordinates = loadtxt(args.input)
RA_0, Dec_0, D_0 = args.center
# transforms coordinates from equatorial to cartesian
eq2cart = transformations.Equatorial2Cartesian(RA_0, Dec_0, D_0)
# plane fitting pipeline
plane = Pipeline([('Cartesian', eq2cart),
('Plane', models.Plane())])
# ellipsoid fitting pipeline
ellipsoid = Pipeline([('Cartesian', eq2cart),
('Ellipsoid', models.Ellipsoid())])
(a, b, c), (i, theta) = plane.fit_transform(equatorial_coordinates)
print('(a, b, c) =', ', '.join(map(str,(a, b, c))))
print('(i, theta) =', ', '.join(map(lambda x: str(numpy.rad2deg(x)),
(i, theta))))
(S_1, S_2, S_3), (i, theta) = ellipsoid.fit_transform(
equatorial_coordinates)
print('(S_1, S_2, S_3) =', ', '.join(map(str,(S_1, S_2, S_3))))
print('(i, theta) =', ', '.join(map(lambda x: str(numpy.rad2deg(x)),
(i, theta))))
print('T =', ellipsoid.named_steps['Ellipsoid'].evecs)
exit()
cartesian_coordinates = eq2cart.transform(equatorial_coordinates)
# demean(xyz) # subtract the mean from each column
savetxt(path.join(args.output, "cartesian.dat"), xyz)
x, y, z = xyz.T
plots.plot2d(x, y, path.join(args.output, "unrotated_xy.png"),
title='Unrotated cartesian')
ra, dec, dist = ra_dec_dist.T
plots.plot2d(ra, dec, path.join(args.output, "radec.png"),
xlabel='RA', ylabel='Dec', title='RA/Dec')
(a, b, c), (aerr, berr, cerr) = args.fit(xyz, **args.__dict__)
print("a = {} +- {}, b = {} +- {}, c = {} +- {}".format(
a, aerr, b, berr, c, cerr))
# plots.plot3d(x, y, z, a, b, c)
i, ierr = plane.inclination(a, b, aerr, berr)
theta, thetaerr = plane.position_angle(a, b, aerr, berr)
print("i = {} +- {}, theta = {} +- {}".format(i*rad2deg, ierr*rad2deg,
theta*rad2deg,
thetaerr*rad2deg))
xyz_ = array([transformations.rotate2plane(x, y, z, i, theta)
for x, y, z in xyz])
x_, y_, z_ = xyz_.T
plots.plot2d(x_, y_, path.join(args.output, "rotated_xy.png"),
title='Rotated cartesian')
plots.plot2d(x_, z_, path.join(args.output, "rotated_xz.png"),
title='Rotated cartesian')
I = ellipsoid.moment_of_inertia_tensor(xyz)
unsorted_eigvals, unsorted_eigvecs = eig(I)
index_array = numpy.fromiter(
reversed(unsorted_eigvals.argsort(kind='mergesort')),
dtype=int
)
eigvals = unsorted_eigvals[index_array]
eigvecs = unsorted_eigvecs[index_array,:]
exit(print(eigvals))
S_1, S_2, S_3 = ellipsoid.get_axes(eigvals)
i, ierr = ellipsoid.inclination(eigvecs)
theta, thetaerr = ellipsoid.position_angle(eigvecs)
print("S_1 = {}, S_2 = {}, S_3 = {}".format(S_1, S_2, S_3))
print("i = {} +- {}, theta = {} +- {}".format(i*rad2deg, None,#ierr*rad2deg,
theta*rad2deg,
None))#thetaerr*rad2deg))