Create sage_vs_kernel.py

src/sage_vs_kernel.py

@@ -0,0 +1,34 @@
+import pandas as pd
+# df = pd.DataFrame([[],
+#               []],
+#              columns=,
+#              index = ['', ''],
+#              )
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+species = ['Fidelity [%]', 'Fragility [%]', 'Stability [%]', 'Stress test [%]',]#  'Time per\nTest [Sec]', 'Portability']
+penguin_means = {
+    'Kernel Shap': (100, 56, 99, 100),  # , 121, 10),
+    'Sage': (66, 100, 93, 100),  # , 18, 9),
+}
+
+x = np.arange(len(species))  # the label locations
+width = 0.25  # the width of the bars
+multiplier = 0
+
+fig, ax = plt.subplots(layout='constrained')
+
+for attribute, measurement in penguin_means.items():
+    offset = width * multiplier
+    rects = ax.bar(x + offset, measurement, width, label=attribute)
+    ax.bar_label(rects, padding=3)
+    multiplier += 1
+
+# ax.set_ylabel('Length (mm)')
+ax.set_xticks(x + width, species)
+ax.legend(loc='lower left', ncols=2)
+# ax.set_ylim(0, 250)
+
+plt.show()