Variables | |
| tuple | g = gaussian.bivariate_gaussian(mu, sigma) |
| tuple | mu = numpy.zeros(2, dtype=float) |
| tuple | r = numpy.linspace(-40, 40, 1001) |
| tuple | s = z.sum() |
| tuple | sigma = numpy.identity(2, dtype=float) |
| tuple | xc = (z * x) |
| tuple | xx = (z * (x - xc)**2) |
| float | xy = 0.5 |
| tuple | yc = (z * y) |
| tuple | yy = (z * (y - yc)**2) |
| tuple | z = g(x, y) |
| tuple demo_gaussian::g = gaussian.bivariate_gaussian(mu, sigma) |
Definition at line 14 of file demo_gaussian.py.
| tuple demo_gaussian::mu = numpy.zeros(2, dtype=float) |
Definition at line 9 of file demo_gaussian.py.
| tuple demo_gaussian::r = numpy.linspace(-40, 40, 1001) |
Definition at line 16 of file demo_gaussian.py.
| tuple demo_gaussian::s = z.sum() |
Definition at line 21 of file demo_gaussian.py.
| tuple demo_gaussian::sigma = numpy.identity(2, dtype=float) |
Definition at line 10 of file demo_gaussian.py.
| tuple demo_gaussian::xc = (z * x) |
Definition at line 24 of file demo_gaussian.py.
| tuple demo_gaussian::xx = (z * (x - xc)**2) |
Definition at line 30 of file demo_gaussian.py.
| float demo_gaussian::xy = 0.5 |
Definition at line 36 of file demo_gaussian.py.
| tuple demo_gaussian::yc = (z * y) |
Definition at line 27 of file demo_gaussian.py.
| tuple demo_gaussian::yy = (z * (y - yc)**2) |
Definition at line 33 of file demo_gaussian.py.
| tuple demo_gaussian::z = g(x, y) |
Definition at line 19 of file demo_gaussian.py.