The following methods are used to curate and visualize the results gained by robustness testing. This is called evaluation functionalities.

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1. Methods

1.1 summarize

summarize(path, select_groups = [], condense_results = True, sort_samples = False)

Parameters:

• path: str.

Optional:

• select_groups: list. default []
• condense_results: boolean. default True
• sort_samples: boolean. default False

1.2 concatenate

concatenate(dfs, sample_order = [])

Parameters:

• dfs: list.

Optional:

• sample_order: list. default []

1.3 bar_plot_results

bar_plot_results(df, show_groups = [], group_by = 'samples', y_unit = 'mymol_per_g', x_gap = 1, save = False, title = True)

Parameters:

• reference: str. Default 'load' Unique root name of reference measurement. If default, tries to read reference from Samplelog.xlsx.

Optional:

• show_groups: list. default []
• group_by: {'samples', 'groups'}. default 'samples'
• y_unit: str. default 'mymol_per_g'
• x_gap: float. default 1
• save: boolean. default False
• title: boolean. default True