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Basic scatter plot with updated plot.py

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ASPP Student 2024-08-30 12:19:05 +03:00
parent f2e462842e
commit 71670f4a66
2 changed files with 9 additions and 6 deletions
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exercises/exerciseA/plot.py
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@ -7,17 +7,20 @@ threads, timings = [], []
for file in os.listdir('timings'): for file in os.listdir('timings'):
with open(f'timings/{file}', 'r') as f: with open(f'timings/{file}', 'r') as f:
n, t = f.read().strip().split(',') n, t = f.read().strip().split(',')
if n != 'None':
threads.append(int(n)) threads.append(int(n))
timings.append(float(t)) timings.append(float(t))
threads = np.array(threads) threads = np.array(threads)
timings = np.array(timings) timings = np.array(timings)
print('This is the data I loaded: threads =', threads, ', timings =',timings) print('This is the data I loaded: threads =', threads, ', timings =',timings)
fig, axs = plt.subplots() fig, axs = plt.subplots()
axs.scatter(threads,timings, marker='X')
# CREATE YOUR PLOT HERE axs.set_title("How Fast is my CPU...really")
# Remember to label your axis axs.set_xlabel("Number of Threads Used")
# Feel free to make it pretty axs.set_ylabel("Run Time")
plt.savefig('threads_v_timings.png', dpi=300) plt.savefig('threads_v_timings.png', dpi=300)

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exercises/exerciseA/threads_v_timings.png Normal file
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