implement plotting function on log scale #9
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@ -1,11 +1,16 @@
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import os
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import os
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import numpy as np
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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import pdb
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import glob
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# IO: This loads the timings for you
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# IO: This loads the timings for you
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threads, timings = [], []
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threads, timings = [], []
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for file in os.listdir('timings'):
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files = os.listdir('timings')
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files.sort(key= lambda x: int(x.split('_')[0]))
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for file in files:
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with open(f'timings/{file}', 'r') as f:
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with open(f'timings/{file}', 'r') as f:
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if 'None' not in file:
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n, t = f.read().strip().split(',')
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n, t = f.read().strip().split(',')
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threads.append(int(n))
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threads.append(int(n))
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timings.append(float(t))
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timings.append(float(t))
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@ -17,7 +22,13 @@ print('This is the data I loaded: threads =', threads, ', timings =',timings)
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fig, axs = plt.subplots()
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fig, axs = plt.subplots()
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# CREATE YOUR PLOT HERE
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# CREATE YOUR PLOT HERE
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plt.plot(threads, timings, '.--')
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plt.xlabel('Threads')
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plt.ylabel('Timings')
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plt.xscale('log')
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# Remember to label your axis
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# Remember to label your axis
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# Feel free to make it pretty
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# Feel free to make it pretty
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plt.savefig('threads_v_timings.png', dpi=300)
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plt.savefig('threads_v_timings.png', dpi=300)
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BIN
exercises/exerciseA/threads_v_timings.png
Normal file
BIN
exercises/exerciseA/threads_v_timings.png
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