mvpa2.misc.fx.fit2histogram(X, fx, params, nbins=20, x_range=None)

Fit a function to multiple histograms.

First histogram is computed for each data row vector individually. Afterwards a custom function is fitted to the binned data.


X : array-like

Data (nsamples x nfeatures)

fx : functor

Function to be fitted. Its interface has to comply to the requirements as for least_sq_fit.

params : tuple

Initial parameter values.

nbins : int

Number of histogram bins.

x_range : None or tuple

Range spanned by the histogram bins. By default the actual mininum and maximum values of the data are used.



(histograms (nsampels x nbins),

bin locations (left border), bin width, output of least_sq_fit)