mqr.plot.anova.

interactions

mqr.plot.anova.interactions(data, response, group, factors, *, axs, line_kws=None, mean_kws=None)

Interaction plot for observation obs between the two categories in between.

Parameters:

datapd.DataFrame

Table of categorical data.

responsestr

Column name that contains response (real numbers).

groupstr

Categorical factor whose values are shown as separate lines on each plot.

factorslist[str]

Categorical factors whose interactions with group are plot on each axis.

axsmatplotlib.axes.Axes, list[matplotlib.axes.Axes]

Axes for the plot. Must match the length of factors (if the length of factors is 1, then axs can be an axes object).

line_kwsdict, optional

Keyword arguments for the lines. Passed to matplotlib.pyplot.plot.

mean_kwsdict, optional

Keyword arguments for the mean line. Passed to matplotlib.pyplot.axhline.

Examples

This example loads sample data and shows an interaction plot for the two factors. Since one factor is used for grouping, there is one factor left for plots.

data = pd.read_csv(mqr.sample_data('anova-glue.csv'), index_col='Run')

fig, axs = plt.subplots(figsize=(3, 2), layout='constrained')
mqr.plot.anova.interactions(
    data,
    response='adhesion_force',
    group='primer',
    factors=['glue'],
    axs=axs)

(Source code, png, pdf)