Added ChatGPT generated piechart

backend/process_data.py

@@ -20,16 +20,15 @@ makedirs("output", exist_ok=True)
 test = processRawMessages(chat)
 
 total_frequency = 0
-total_frequency_dict: dict[str, int] = Counter()
+total_frequency_dict: dict[str, int] = {}
 word_frequency_dict: dict[str, dict[str, int]] = {}
 
 
 for author in test:
     word_frequency_dict[author] = {}
-    messageList = test.get(author)
+    messageList = test[author]
     if messageList:
-        wordList = Counter(processMessageList(messageList))
-        word_frequency_dict[author] = wordList
-        for count in wordList.items():
-            total_frequency_dict.update({author: count[1]})
-            total_frequency += count[1]
+        wordFreqList = Counter(processMessageList(messageList))
+        word_frequency_dict[author] = wordFreqList
+        total_frequency_dict[author] = sum(wordFreqList.values())
+total_frequency = sum(total_frequency_dict.values())

piechart.py

@@ -2,6 +2,7 @@ from backend.process_data import (
     total_frequency_dict as freq_dict,
     total_frequency as total,
 )
+import matplotlib.pyplot as plt
 
 for author in freq_dict:
     fraction = round(freq_dict[author] / total * 100, 1)
@@ -10,3 +11,16 @@ for author in freq_dict:
         f"{str(freq_dict.get(author))+"/"+str(total):>15}",
         f"({fraction:>4}%)",
     )
+
+# ChatGPT generated
+# Prepare labels and sizes
+labels = list(freq_dict.keys())
+sizes = [v / total * 100 for v in freq_dict.values()]  # percentages
+
+# Plot
+plt.figure(figsize=(8, 8))  # type: ignore
+plt.pie(sizes, labels=labels, autopct="%.1f%%", startangle=90)  # type: ignore
+plt.title("Word Frequency Distribution by Author")  # type: ignore
+plt.axis("equal")  # type: ignore # Equal aspect ratio for a perfect circle
+plt.tight_layout()
+plt.show()  # type: ignore