Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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StatisticInterface.Contour Class Reference

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
 

Detailed Description

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.

Constructor & Destructor Documentation

◆ __init__()

None StatisticInterface.Contour.__init__ (   self,
  cpp_obj 
)

Definition at line 316 of file StatisticInterface.py.

Member Function Documentation

◆ __repr__()

str StatisticInterface.Contour.__repr__ (   self)

Definition at line 345 of file StatisticInterface.py.

◆ _to_cpp()

StatisticInterface.Contour._to_cpp (   self)
protected
Return the underlying C++ contour object.

Definition at line 341 of file StatisticInterface.py.

◆ from_cpp()

"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.

◆ level()

float StatisticInterface.Contour.level (   self)
Return the likelihood or confidence level represented by the contour.

Definition at line 332 of file StatisticInterface.py.

◆ paths()

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.

◆ success()

bool StatisticInterface.Contour.success (   self)
Report whether the native contour extraction completed successfully.

Definition at line 337 of file StatisticInterface.py.

Member Data Documentation

◆ _cpp_obj

StatisticInterface.Contour._cpp_obj
protected

Definition at line 317 of file StatisticInterface.py.


The documentation for this class was generated from the following file: