fronts.t
- fronts.t(o: float, r: float) float
- fronts.t(o: ndarray[tuple[int, ...], dtype[floating]], r: ndarray[tuple[int, ...], dtype[floating]]) ndarray[tuple[int, ...], dtype[floating]]
- fronts.t(o: float, r: ndarray[tuple[int, ...], dtype[floating]]) ndarray[tuple[int, ...], dtype[floating]]
- fronts.t(o: ndarray[tuple[int, ...], dtype[floating]], r: float) ndarray[tuple[int, ...], dtype[floating]]
Transform back from the Boltzmann variable into t.
- Parameters:
o (float or numpy.ndarray) – Value(s) of the Boltzmann variable. If a NumPy array, it must have a shape broadcastable with r. Values must not be zero.
r (float or numpy.ndarray) – Location(s). If a NumPy array, it must have a shape broadcastable with o.
- Returns:
t – The return is a float if both o and r are floats. Otherwise it is an array of the shape that results from broadcasting o and r.
- Return type: