grapa.scripts.script_correlations

Provides a script that performs correlation analysis on a data input. possibly, SCAPS 2-D parameter sweeps

@author: Romain Carron Copyright (c) 2026, Empa, Laboratory for Thin Films and Photovoltaics, Romain Carron

Functions

colorize_graph(graph, idx_pattern, pvals)	Colorize a graph based on parameter values.
crosscorrelations_plot(stats, pkeys, pvals, ...)	Plots cross-correlations between parameters.
crosscorrelations_stats(pvals, pattern_idx, ...)	Computes cross-correlation statistics for given parameter indices.
filter_pvals(pkeys, pvals[, filters])	Filter pvals according to filters.
guess_is_logarithm_quantity(series)
plot_correlations(pkeys, pvals[, ...])	seriesX, seriesy: tuple of column to consider groupbyparam: if True, organize data as series where possible
plot_parameters_1d(pkeys, pvals[, ...])	array of normal plots
plot_parameters_2d(pkeys, pvals[, ...])	array of scatter plots
plot_pearson(pearson, keysx, keysy[, ...])	Plots a Pearson correlation heatmap.
process_datatable(pkeys, pvals[, ...])	Main function to process a datatable type of input
process_file(filename[, datakeys, filters, ...])	Process a file contaiing correleation data.
run_standalone()	Run the script as a standalone program.
values_to_lim(values[, is_log])	Returns limits [min, max] for a list of values.

Classes

CONF()	Configuration constants
Helper()	Base helper class for parameter sweeps
HelperDatatable()	Specialized helper for datatable type of input
HelperScaps()	Specialized helper for SCAPS 2-D parameter sweeps