discrimintools.overlap_coord

discrimintools.overlap_coord(coord, x_name, y_name, repel)

Overlap text position for segment

Parameters:

• coord (DataFrame of shape (n_features, n_components)) – Input data, where n_features is the number of features and n_components is the number of components.

• x_name (str) – Name of columns for x axis.

• y_name (str) – Name of columns for y axis.

• repel (bool) – To avoid overplotting text labels.

Returns:

coord – Output data.

Return type:

DataFrame of shape (n_features, n_components + 2)

Examples

>>> from discrimintools.datasets import load_wine
>>> from discrimintools import CANDISC, overlap_coord
>>> D = load_wine("train") # load training dataset
>>> y, X = D["Quality"], D.drop(columns=["Quality"]) # split into X and y
>>> clf = CANDISC()
>>> clf.fit(X,y)
CANDISC()
>>> coord = overlap_coord(clf.var_.total,"Can1","Can2",True)