bar plot

fullplot_stats.py

@@ -118,18 +118,45 @@ def convert_score(data):
 
 # DATA[name] = {name: [scores]}
 def no_interface_plot(DATA):
-
+    n = 0
-    species = list(DATA.keys())
+    names_with = []#DATA.keys()
-    penguin_means = {
+    names_without = []
-        'Int': [],
-        'Not Int': []}
-
     for creator, Data in DATA.items():
         for tester, data in Data.items():
-            pass
+            if tester == creator:
-
+                if 'NoInt' in creator:
-    fig, ax = plt.subplots()
+                    pass
-    print(DATA.keys())
+                else:
+                    names_with.append(creator)
+                    names_without.append(creator+'NoInt')
+    #print(len(names_with), names_with)
+    #print(len(names_without), names_without)
+    '''
+    for tester, data in Data.items():
+        if tester == creator:
+            del DATA[]
+    '''
+    penguin_means = {
+        'With interface': [np.median(DATA[name][name]) for name in names_with],
+        'Without interface': [np.median(DATA[name][name]) for name in names_without]}
+
+    x = np.arange(len(names_with))  # 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, np.round(measurement,2), width, label=attribute)
+        ax.bar_label(rects, padding=3)
+        multiplier += 1
+    ax.set_ylabel('Score')
+    ax.set_title('Change in scores with visual interface disabled')
+    ax.set_xticks(x + width, names_with)
+    ax.legend(loc='upper left', ncols=3)
+    ax.set_ylim(0, 100)
+    ax.grid(axis='y')