jupyter_analysis_tools.distrib

Functions

area(xvec, yvec[, showArea])	Returns a string with the area value of the given discrete curve points.
distrParFromFilename(fn)	>>> distrParFromFilename('_median=_33_sigma=0.15_N=1.1') == {'N':1.1, 'sigma':0.15, 'median':33}
distrParLatex(distrPar, *kwargs)	>>> distrParLatex({'N':1.1, 'sigma':0.15, 'median':33e-9})
distrParToFilename(distrPar[, prefix])	>>> distrParToFilename({'N':1.1, 'sigma':0.15, 'median':33e-9})
distrParToText(logNormPar)	>>> distrParToText({'N':1.1, 'sigma':0.15, 'median':33.1234e-9})
findLocalMinima(peakRanges, xarr, yarr[, ...])	Identify local (non-zero) minima within given peak ranges and separate those bimodal ranges into monomodal ranges, thus splitting up the peak range if it contains maxima connected by non-zero minima.
findPeakRanges(x, y[, tol])	Returns the location of data/peak above a base line.
getLargestPeaks(peakRanges, xarr, yarr[, count])
integrate(xvec, yvec)
normalizeDistrib(x, y[, u])

Classes

Distribution(xvec, yvec, uvec[, xlabel, ...])
Moments