`); SciPySciPy Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitter Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitterSection Navigationscipyscipy.clusterscipy.constantsscipy.datasetsscipy.differentiatescipy.fftscipy.fftpackscipy.integratescipy.interpolatescipy.ioscipy.linalgscipy.ndimagescipy.odrscipy.optimizescipy.signalscipy.sparsescipy.spatialscipy.specialscipy..." />`); SciPySciPy Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitter Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitterSection Navigationscipyscipy.clusterscipy.constantsscipy.datasetsscipy.differentiatescipy.fftscipy.fftpackscipy.integratescipy.interpolatescipy.ioscipy.linalgscipy.ndimagescipy.odrscipy.optimizescipy.signalscipy.sparsescipy.spatialscipy.specialscipy..." /> fit_loc_scale — SciPy v1.15.3 Manual

scipy.stats.rv_histogram.

fit_loc_scale#

rv_histogram.fit_loc_scale(data, *args)[source]#

Estimate loc and scale parameters from data using 1st and 2nd moments.

Parameters:

dataarray_like: Data to fit.
arg1, arg2, arg3,…array_like: The shape parameter(s) for the distribution (see docstring of the instance object for more information).

Returns:

Lhatfloat: Estimated location parameter for the data.
Shatfloat: Estimated scale parameter for the data.