plot task data with line plot and stacked plot

stat_analysis.py

@@ -0,0 +1,41 @@
+import re
+
+import matplotlib.pyplot as plt
+
+i = 0
+with open('raw_ash.txt', 'r', encoding='utf-8') as file:
+    working = {'work': 0, 'slut': 0, 'crime': 0, 'total': 0}
+    changes = {'work': [0], 'slut': [0], 'crime': [0], 'total': [0]}
+    matches = re.finditer(
+        r'\[[0-9-:, ]+\] \[\w+\] \[\w+\] Executing \$(work|crime|slut) task.\n\[[0-9-:, ]+\] \[\w+\] \[\w+\] (Gained|Lost) \$(\d+)',
+        file.read())
+
+    for match in matches:
+        task, sign, change = match.group(1), match.group(2) == 'Lost', int(match.group(3))
+        if sign:
+            change *= -1
+        print(task, sign, change)
+
+        working[task] += int(change)
+        working['total'] += int(change)
+        for key in changes.keys():
+            changes[key].append(working[key])
+            # changes[key].append(max(0, working[key]))
+
+print('Finished processing datafile.')
+
+for k, v in working.items():
+    print(f'{k} earned {v}.')
+print(f'{sum(working.values())} earned total.')
+
+fig, ax = plt.subplots()
+xaxis = list(range(len(changes['work'])))
+for k, v in changes.items():
+    ax.plot(xaxis, v, label=k)
+# ax.stackplot(, changes.values(), labels=changes.keys())
+ax.legend(loc='upper left')
+ax.set_title('Earnings by Task over time')
+ax.set_xlabel('Tasks')
+ax.set_ylabel('Earnings ($)')
+
+plt.show()