How to use the getdist.gaussian_mixtures.Mixture1D function in getdist
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cmbant / getdist / getdist_tests / test_distributions.py View on Github 
def __init__(self):
self.gauss = Gaussian1D(0, 0.5, label='Gaussian')
self.skew = Mixture1D([0, 1], [1, 0.4], [0.6, 0.4], label='skew')
self.tailed = Mixture1D([0, 0], [1, 3], [0.8, 0.2], label='tailed')
self.flat = Gaussian1D(0, 3, xmin=-1, xmax=2, label='flat')
self.broad = Mixture1D([0, 0.3], [1, 2], [0.6, 0.4], label='broad')
self.flat_top = Mixture1D([0, 1.5, 3], [1, 1, 1], [0.4, 0.2, 0.4], label='flat top')
self.bimodal = []
self.bimodal.append(Mixture1D([0, 2], [0.5, 0.5], [0.6, 0.4], label='bimodal 1'))
self.bimodal.append(Mixture1D([0, 2], [0.2, 0.5], [0.5, 0.5], label='bimodal 2'))
self.trimodal = []
self.trimodal.append(Mixture1D([0, 2, 5], [0.2, 0.7, 0.4], label='trimodal'))
self.cut_gaussians = self.cutGaussians()
self.shape_set = [self.gauss, self.skew, self.tailed, self.broad, self.flat, self.flat_top]
self.all = self.shape_set + self.bimodal + self.trimodal + self.cut_gaussiansdef __init__(self):
self.gauss = Gaussian1D(0, 0.5, label='Gaussian')
self.skew = Mixture1D([0, 1], [1, 0.4], [0.6, 0.4], label='skew')
self.tailed = Mixture1D([0, 0], [1, 3], [0.8, 0.2], label='tailed')
self.flat = Gaussian1D(0, 3, xmin=-1, xmax=2, label='flat')
self.broad = Mixture1D([0, 0.3], [1, 2], [0.6, 0.4], label='broad')
self.flat_top = Mixture1D([0, 1.5, 3], [1, 1, 1], [0.4, 0.2, 0.4], label='flat top')
self.bimodal = []
self.bimodal.append(Mixture1D([0, 2], [0.5, 0.5], [0.6, 0.4], label='bimodal 1'))
self.bimodal.append(Mixture1D([0, 2], [0.2, 0.5], [0.5, 0.5], label='bimodal 2'))
self.trimodal = []
self.trimodal.append(Mixture1D([0, 2, 5], [0.2, 0.7, 0.4], label='trimodal'))
self.cut_gaussians = self.cutGaussians()
self.shape_set = [self.gauss, self.skew, self.tailed, self.broad, self.flat, self.flat_top]
self.all = self.shape_set + self.bimodal + self.trimodal + self.cut_gaussiansdef __init__(self):
self.gauss = Gaussian1D(0, 0.5, label='Gaussian')
self.skew = Mixture1D([0, 1], [1, 0.4], [0.6, 0.4], label='skew')
self.tailed = Mixture1D([0, 0], [1, 3], [0.8, 0.2], label='tailed')
self.flat = Gaussian1D(0, 3, xmin=-1, xmax=2, label='flat')
self.broad = Mixture1D([0, 0.3], [1, 2], [0.6, 0.4], label='broad')
self.flat_top = Mixture1D([0, 1.5, 3], [1, 1, 1], [0.4, 0.2, 0.4], label='flat top')
self.bimodal = []
self.bimodal.append(Mixture1D([0, 2], [0.5, 0.5], [0.6, 0.4], label='bimodal 1'))
self.bimodal.append(Mixture1D([0, 2], [0.2, 0.5], [0.5, 0.5], label='bimodal 2'))
self.trimodal = []
self.trimodal.append(Mixture1D([0, 2, 5], [0.2, 0.7, 0.4], label='trimodal'))
self.cut_gaussians = self.cutGaussians()
self.shape_set = [self.gauss, self.skew, self.tailed, self.broad, self.flat, self.flat_top]
self.all = self.shape_set + self.bimodal + self.trimodal + self.cut_gaussiansdef __init__(self):
self.gauss = Gaussian1D(0, 0.5, label='Gaussian')
self.skew = Mixture1D([0, 1], [1, 0.4], [0.6, 0.4], label='skew')
self.tailed = Mixture1D([0, 0], [1, 3], [0.8, 0.2], label='tailed')
self.flat = Gaussian1D(0, 3, xmin=-1, xmax=2, label='flat')
self.broad = Mixture1D([0, 0.3], [1, 2], [0.6, 0.4], label='broad')
self.flat_top = Mixture1D([0, 1.5, 3], [1, 1, 1], [0.4, 0.2, 0.4], label='flat top')
self.bimodal = []
self.bimodal.append(Mixture1D([0, 2], [0.5, 0.5], [0.6, 0.4], label='bimodal 1'))
self.bimodal.append(Mixture1D([0, 2], [0.2, 0.5], [0.5, 0.5], label='bimodal 2'))
self.trimodal = []
self.trimodal.append(Mixture1D([0, 2, 5], [0.2, 0.7, 0.4], label='trimodal'))
self.cut_gaussians = self.cutGaussians()
self.shape_set = [self.gauss, self.skew, self.tailed, self.broad, self.flat, self.flat_top]
self.all = self.shape_set + self.bimodal + self.trimodal + self.cut_gaussiansdef __init__(self):
self.gauss = Gaussian1D(0, 0.5, label='Gaussian')
self.skew = Mixture1D([0, 1], [1, 0.4], [0.6, 0.4], label='skew')
self.tailed = Mixture1D([0, 0], [1, 3], [0.8, 0.2], label='tailed')
self.flat = Gaussian1D(0, 3, xmin=-1, xmax=2, label='flat')
self.broad = Mixture1D([0, 0.3], [1, 2], [0.6, 0.4], label='broad')
self.flat_top = Mixture1D([0, 1.5, 3], [1, 1, 1], [0.4, 0.2, 0.4], label='flat top')
self.bimodal = []
self.bimodal.append(Mixture1D([0, 2], [0.5, 0.5], [0.6, 0.4], label='bimodal 1'))
self.bimodal.append(Mixture1D([0, 2], [0.2, 0.5], [0.5, 0.5], label='bimodal 2'))
self.trimodal = []
self.trimodal.append(Mixture1D([0, 2, 5], [0.2, 0.7, 0.4], label='trimodal'))
self.cut_gaussians = self.cutGaussians()
self.shape_set = [self.gauss, self.skew, self.tailed, self.broad, self.flat, self.flat_top]
self.all = self.shape_set + self.bimodal + self.trimodal + self.cut_gaussiansdef __init__(self):
self.gauss = Gaussian1D(0, 0.5, label='Gaussian')
self.skew = Mixture1D([0, 1], [1, 0.4], [0.6, 0.4], label='skew')
self.tailed = Mixture1D([0, 0], [1, 3], [0.8, 0.2], label='tailed')
self.flat = Gaussian1D(0, 3, xmin=-1, xmax=2, label='flat')
self.broad = Mixture1D([0, 0.3], [1, 2], [0.6, 0.4], label='broad')
self.flat_top = Mixture1D([0, 1.5, 3], [1, 1, 1], [0.4, 0.2, 0.4], label='flat top')
self.bimodal = []
self.bimodal.append(Mixture1D([0, 2], [0.5, 0.5], [0.6, 0.4], label='bimodal 1'))
self.bimodal.append(Mixture1D([0, 2], [0.2, 0.5], [0.5, 0.5], label='bimodal 2'))
self.trimodal = []
self.trimodal.append(Mixture1D([0, 2, 5], [0.2, 0.7, 0.4], label='trimodal'))
self.cut_gaussians = self.cutGaussians()
self.shape_set = [self.gauss, self.skew, self.tailed, self.broad, self.flat, self.flat_top]
self.all = self.shape_set + self.bimodal + self.trimodal + self.cut_gaussiansdef __init__(self):
self.gauss = Gaussian1D(0, 0.5, label='Gaussian')
self.skew = Mixture1D([0, 1], [1, 0.4], [0.6, 0.4], label='skew')
self.tailed = Mixture1D([0, 0], [1, 3], [0.8, 0.2], label='tailed')
self.flat = Gaussian1D(0, 3, xmin=-1, xmax=2, label='flat')
self.broad = Mixture1D([0, 0.3], [1, 2], [0.6, 0.4], label='broad')
self.flat_top = Mixture1D([0, 1.5, 3], [1, 1, 1], [0.4, 0.2, 0.4], label='flat top')
self.bimodal = []
self.bimodal.append(Mixture1D([0, 2], [0.5, 0.5], [0.6, 0.4], label='bimodal 1'))
self.bimodal.append(Mixture1D([0, 2], [0.2, 0.5], [0.5, 0.5], label='bimodal 2'))
self.trimodal = []
self.trimodal.append(Mixture1D([0, 2, 5], [0.2, 0.7, 0.4], label='trimodal'))
self.cut_gaussians = self.cutGaussians()
self.shape_set = [self.gauss, self.skew, self.tailed, self.broad, self.flat, self.flat_top]
self.all = self.shape_set + self.bimodal + self.trimodal + self.cut_gaussiansdef __init__(self):
self.gauss = Gaussian1D(0, 0.5, label='Gaussian')
self.skew = Mixture1D([0, 1], [1, 0.4], [0.6, 0.4], label='skew')
self.tailed = Mixture1D([0, 0], [1, 3], [0.8, 0.2], label='tailed')
self.flat = Gaussian1D(0, 3, xmin=-1, xmax=2, label='flat')
self.broad = Mixture1D([0, 0.3], [1, 2], [0.6, 0.4], label='broad')
self.flat_top = Mixture1D([0, 1.5, 3], [1, 1, 1], [0.4, 0.2, 0.4], label='flat top')
self.bimodal = []
self.bimodal.append(Mixture1D([0, 2], [0.5, 0.5], [0.6, 0.4], label='bimodal 1'))
self.bimodal.append(Mixture1D([0, 2], [0.2, 0.5], [0.5, 0.5], label='bimodal 2'))
self.trimodal = []
self.trimodal.append(Mixture1D([0, 2, 5], [0.2, 0.7, 0.4], label='trimodal'))
self.cut_gaussians = self.cutGaussians()
self.shape_set = [self.gauss, self.skew, self.tailed, self.broad, self.flat, self.flat_top]
self.all = self.shape_set + self.bimodal + self.trimodal + self.cut_gaussiansdef __init__(self):
self.gauss = Gaussian1D(0, 0.5, label='Gaussian')
self.skew = Mixture1D([0, 1], [1, 0.4], [0.6, 0.4], label='skew')
self.tailed = Mixture1D([0, 0], [1, 3], [0.8, 0.2], label='tailed')
self.flat = Gaussian1D(0, 3, xmin=-1, xmax=2, label='flat')
self.broad = Mixture1D([0, 0.3], [1, 2], [0.6, 0.4], label='broad')
self.flat_top = Mixture1D([0, 1.5, 3], [1, 1, 1], [0.4, 0.2, 0.4], label='flat top')
self.bimodal = []
self.bimodal.append(Mixture1D([0, 2], [0.5, 0.5], [0.6, 0.4], label='bimodal 1'))
self.bimodal.append(Mixture1D([0, 2], [0.2, 0.5], [0.5, 0.5], label='bimodal 2'))
self.trimodal = []
self.trimodal.append(Mixture1D([0, 2, 5], [0.2, 0.7, 0.4], label='trimodal'))
self.cut_gaussians = self.cutGaussians()
self.shape_set = [self.gauss, self.skew, self.tailed, self.broad, self.flat, self.flat_top]
self.all = self.shape_set + self.bimodal + self.trimodal + self.cut_gaussiansdef __init__(self):
self.gauss = Gaussian1D(0, 0.5, label='Gaussian')
self.skew = Mixture1D([0, 1], [1, 0.4], [0.6, 0.4], label='skew')
self.tailed = Mixture1D([0, 0], [1, 3], [0.8, 0.2], label='tailed')
self.flat = Gaussian1D(0, 3, xmin=-1, xmax=2, label='flat')
self.broad = Mixture1D([0, 0.3], [1, 2], [0.6, 0.4], label='broad')
self.flat_top = Mixture1D([0, 1.5, 3], [1, 1, 1], [0.4, 0.2, 0.4], label='flat top')
self.bimodal = []
self.bimodal.append(Mixture1D([0, 2], [0.5, 0.5], [0.6, 0.4], label='bimodal 1'))
self.bimodal.append(Mixture1D([0, 2], [0.2, 0.5], [0.5, 0.5], label='bimodal 2'))
self.trimodal = []
self.trimodal.append(Mixture1D([0, 2, 5], [0.2, 0.7, 0.4], label='trimodal'))
self.cut_gaussians = self.cutGaussians()
self.shape_set = [self.gauss, self.skew, self.tailed, self.broad, self.flat, self.flat_top]
self.all = self.shape_set + self.bimodal + self.trimodal + self.cut_gaussiansgetdist
GetDist Monte Carlo sample analysis, plotting and GUI
Package Health Score
72 / 100Popular getdist functions
- getdist.chains.WeightedSampleError
- getdist.convolve.convolve1D
- getdist.convolve.convolve2D
- getdist.densities.Density2D
- getdist.gaussian_mixtures.Gaussian2D
- getdist.gaussian_mixtures.Mixture1D
- getdist.gaussian_mixtures.Mixture2D
- getdist.IniFile
- getdist.MCSamples
- getdist.mcsamples.loadMCSamples
- getdist.paramnames.makeList
- getdist.paramnames.ParamInfo
- getdist.paramnames.ParamNames
- getdist.plots
- getdist.plots.GetDistPlotError
- getdist.plots.GetDistPlotter
- getdist.plots.getSubplotPlotter
- getdist.plots.set_active_style
- getdist.types
- getdist.types.BestFit