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.

Returns

(x,y,xerr,yerr)tuple

four arrays with specified values.

Parameters

**kwargsoptional

see data_kwargs().

smpl.data.flatmesh(*args)

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