heatmap

library(ComplexHeatmap)
Heatmap(df, 
        name = "mtcars", #title of legend
        column_title = "Variables", row_title = "Samples",
        row_names_gp = gpar(fontsize = 7) # Text size for row names
        )

import seaborn as sns
from sklearn.metrics import confusion_matrix as cm
conf_mat = cm(y_true, y_pred)
sns.heatmap(conf_mat, annot=True)