Basic scatter plot with updated plot.py

exercises/exerciseA/plot.py

@@ -7,17 +7,20 @@ threads, timings = [], []
 for file in os.listdir('timings'):
     with open(f'timings/{file}', 'r') as f:
         n, t = f.read().strip().split(',')
-        threads.append(int(n))
-        timings.append(float(t))
+        if n != 'None':
+            threads.append(int(n))
+            timings.append(float(t))
 threads = np.array(threads)
 timings = np.array(timings)
 
+
+
 print('This is the data I loaded: threads =', threads, ', timings =',timings)
 
 fig, axs = plt.subplots()
-
-# CREATE YOUR PLOT HERE
-# Remember to label your axis
-# Feel free to make it pretty
+axs.scatter(threads,timings, marker='X')
+axs.set_title("How Fast is my CPU...really")
+axs.set_xlabel("Number of Threads Used")
+axs.set_ylabel("Run Time")
 
 plt.savefig('threads_v_timings.png', dpi=300)