mirror of https://github.com/rusefi/bldc.git
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
from glob import glob
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import pandas as pd
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import matplotlib.pyplot as plt
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bench_files = glob('stored_results/*')
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headers = ('File','Eval time (s)')
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benches = ['q2.lisp', 'fibonacci_tail.lisp', 'dec_cnt3.lisp',
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'dec_cnt1.lisp', 'fibonacci.lisp', 'tak.lisp',
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'dec_cnt2.lisp', 'insertionsort.lisp']
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data = []
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plt.figure(figsize=(10.0, 5.0)) # in inches!
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for bench in benches:
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dict = {}
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for file in bench_files:
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file_info = file.split('benchresult')[1]
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file_details = file_info.split('_')
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df = pd.read_csv(file,index_col='File')
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date = file_details[0] + '-' + file_details[1] + '-' + file_details[2] + '-' + file_details[3] + '-' + file_details[4]
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if (bench in df.index):
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row = df.loc[bench]
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dict.update({date : row[1]});
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else:
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print("missing data point ", bench, file )
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lists = sorted(dict.items()) # sorted by key, return a list of tuples
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x, y = zip(*lists) # unpack a list of pairs into two tuples
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plt.plot(x, y, label=bench)
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lgd = plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))
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ax = plt.gca()
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for tick in ax.get_xticklabels():
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tick.set_rotation(45)
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plt.ylabel("Sec")
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plt.grid()
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plt.savefig('benchresults.png', dpi=600, bbox_extra_artists=(lgd,), bbox_inches='tight')
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plt.yscale('log')
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plt.savefig('benchresults_log.png', dpi=600, bbox_extra_artists=(lgd,), bbox_inches='tight')
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