Loading src/yapsut/__init__.py +1 −0 Original line number Diff line number Diff line Loading @@ -14,6 +14,7 @@ from .nearly_even_split import nearly_even_split from .geometry import ElipsoidTriangulation from .template_subs import discoverKeys, templateFiller from .periodic_stats import periodic_stats, periodic_centroid from .stats import CumulativeOfData #from import .grep #import .intervalls Loading src/yapsut/stats.py 0 → 100644 +43 −0 Original line number Diff line number Diff line """ Simple stats """ import numpy as np class CumulativeOfData : """strucuture to handle the cumulative of 1d data""" @property def cdf(self) : """the cdf """ return self._cdf @property def x(self) : """the score""" return self._x @property def N(self) : """the number of finite samples""" return self._N def __init__(self,X) : """:X: 1d array of scores""" idx=np.where(np.isfinite(X)) xf=X[idx] self._Nin=len(X) self._N=len(xf) self._x=np.sort(X) self._eff=np.arange(self._N)/(self._N-1) def cdf(self,x) : """returns the cdf at a given score :x: the score """ return np.interp(x,self._x,self._eff,left=0.,right=1.) def percentile(self,eff) : """computes the percentile of samples for which x<=percentile(eff) :eff: the required percentile [0,1] if eff<0 the result is -infty if eff>0 the result is +infty """ return np.interp(eff,self._eff,self._x,left=-np.infty,right=np.infty) Loading
src/yapsut/__init__.py +1 −0 Original line number Diff line number Diff line Loading @@ -14,6 +14,7 @@ from .nearly_even_split import nearly_even_split from .geometry import ElipsoidTriangulation from .template_subs import discoverKeys, templateFiller from .periodic_stats import periodic_stats, periodic_centroid from .stats import CumulativeOfData #from import .grep #import .intervalls Loading
src/yapsut/stats.py 0 → 100644 +43 −0 Original line number Diff line number Diff line """ Simple stats """ import numpy as np class CumulativeOfData : """strucuture to handle the cumulative of 1d data""" @property def cdf(self) : """the cdf """ return self._cdf @property def x(self) : """the score""" return self._x @property def N(self) : """the number of finite samples""" return self._N def __init__(self,X) : """:X: 1d array of scores""" idx=np.where(np.isfinite(X)) xf=X[idx] self._Nin=len(X) self._N=len(xf) self._x=np.sort(X) self._eff=np.arange(self._N)/(self._N-1) def cdf(self,x) : """returns the cdf at a given score :x: the score """ return np.interp(x,self._x,self._eff,left=0.,right=1.) def percentile(self,eff) : """computes the percentile of samples for which x<=percentile(eff) :eff: the required percentile [0,1] if eff<0 the result is -infty if eff>0 the result is +infty """ return np.interp(eff,self._eff,self._x,left=-np.infty,right=np.infty)
