Add the group composition plot

Author: dokempf

group_composition_plot/group_composition_plot.png

@@ -0,0 +1,57 @@
+import matplotlib.pyplot as plt
+import json
+
+def read_data(filename):
+    with open(filename) as f:
+        data = json.load(f)
+    return data["activity_weights"]
+
+# Read data
+princeton = read_data("./submissions/2023-12-06_submissions/Princeton_University_2023-11-29_18-33-21.json")
+reading = read_data("./submissions/2023-12-06_submissions/University_of_Reading_2023-12-11_10-18-14.json")
+heidelberg = read_data("./submissions/2023-12-06_submissions/Scientific_Software_Center_2023-12-21_13-13-27.json")
+jena = read_data("./submissions/2023-12-06_submissions/Friedrich_Schiller_University_Jena_2023-12-06_10-43-44.json")
+
+activities = [
+        "RSE Network",
+        "Partner Network",
+        "RSE Teaching",
+        "RSE Consultation",
+        "SW Development",
+        "SW Maintenance",
+        "RSE Infrastructure",
+        "RSE Research",
+        "RSE Outreach"
+    ]
+colors = plt.cm.Paired(range(len(activities)))
+
+# Mapping activities to colors
+activity_to_color = {activity: colors[i] for i, activity in enumerate(activities)}
+
+# Creating the joint plot
+fig, axs = plt.subplots(2, 2, figsize=(16, 16))
+
+# Plot for Jena
+axs[0, 0].pie(jena, colors=colors, startangle=140)
+axs[0, 0].set_title('Kompetenzzentrum Digitale Forschung\n Friedrich Schiller University Jena', fontsize=20)
+
+# Plot for Heidelberg
+axs[0, 1].pie(heidelberg, colors=colors, startangle=140)
+axs[0, 1].set_title('Scientific Software Center\n Heidelberg University', fontsize=20)
+
+# Plot for Princeton
+axs[1, 1].pie(princeton, colors=colors, startangle=140)
+axs[1, 1].set_title('Research Software Engineering Group\n Princeton University', fontsize=20)
+
+# Plot for Reading
+axs[1, 0].pie(reading, colors=colors, startangle=140)
+axs[1, 0].set_title('Research Software Engineering\n The University of Reading', fontsize=20)
+
+# Shared legend
+fig.legend(activities, title="Activities", loc="center right", bbox_to_anchor=(1.1, 0.5), fontsize=20)
+
+
+fig.savefig("group_composition_plot.png", dpi=300, bbox_inches='tight')
+# # Adjust layout
+# plt.tight_layout()
+# plt.show()