smpl.data

Simplified internal data parsing and transforming.

data_kwargs(kwargs)	Set default data_kwargs if not set.
filtered_data_split(datax, datay, **kwargs)	Splits datax and datay into (x,y,xerr,yerr).
flatmesh(*args)	Similar to numpy.meshgrid but the result will be of one dimension instead of stacked arrays.

Functions

smpl.data.data_kwargs(kwargs)

Set default data_kwargs if not set.

data_kwargs	default	description
frange	None	Limit the fit to given range. First integer is the lowest and second the highest index.
fselector	None	Function that takes x and y as parameters and returns an array mask in order to limit the data points for fitting. Alternatively a mask for selecting elements from datax and datay.
sortbyx	True	Enable sorting the x and y data so that x is sorted.
bins	0	Number of bins for histogram
binunc	poisson_dist	Number of bins for histogram
xerror	True	enable xerrors
yerror	True	enable yerrors

smpl.data.filtered_data_split(datax, datay, **kwargs)

Splits datax and datay into (x,y,xerr,yerr). Applies filters fselector and frange.

(x,y,xerr,yerr)tuple

four arrays with specified values.

**kwargsoptional

see data_kwargs().

smpl.data.flatmesh(*args)

Similar to numpy.meshgrid but the result will be of one dimension instead of stacked arrays.