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Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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Public Member Functions | |
| None | __init__ (self, cpp_obj) |
| "Contour" | from_cpp (cls, cpp_obj) |
| List[List[tuple[float, float]]] | paths (self) |
| float | level (self) |
| bool | success (self) |
| str | __repr__ (self) |
Protected Member Functions | |
| _to_cpp (self) | |
Protected Attributes | |
| _cpp_obj | |
Python view of a C++ confidence contour. The bound object exposes one or more disconnected paths. Each path is a sequence of ``(x, y)`` points in the plane of the two displayed fit parameters.
Definition at line 306 of file StatisticInterface.py.
| None StatisticInterface.Contour.__init__ | ( | self, | |
| cpp_obj | |||
| ) |
Definition at line 316 of file StatisticInterface.py.
| str StatisticInterface.Contour.__repr__ | ( | self | ) |
Definition at line 345 of file StatisticInterface.py.
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protected |
Return the underlying C++ contour object.
Definition at line 341 of file StatisticInterface.py.
| "Contour" StatisticInterface.Contour.from_cpp | ( | cls, | |
| cpp_obj | |||
| ) |
Create a Python contour view from a bound C++ contour object.
Definition at line 320 of file StatisticInterface.py.
| float StatisticInterface.Contour.level | ( | self | ) |
Return the likelihood or confidence level represented by the contour.
Definition at line 332 of file StatisticInterface.py.
| List[List[tuple[float, float]]] StatisticInterface.Contour.paths | ( | self | ) |
Return all disconnected contour paths as ``(x, y)`` coordinates.
Definition at line 325 of file StatisticInterface.py.
| bool StatisticInterface.Contour.success | ( | self | ) |
Report whether the native contour extraction completed successfully.
Definition at line 337 of file StatisticInterface.py.
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protected |
Definition at line 317 of file StatisticInterface.py.