77 lines
2.1 KiB
Python
77 lines
2.1 KiB
Python
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import subprocess
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import tempfile
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import re
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import matplotlib.pyplot as plt
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from collections import defaultdict
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import argparse
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from math import log2
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import pandas as pd
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parser = argparse.ArgumentParser(description='Read data from a data file and plot this.')
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parser.add_argument('--data_file', action='store', dest='data_file', default='plot_data.txt',
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help='The desired data to be plotted.')
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parser.add_argument('--static_n', action='store_true',
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help="Is the n variable static in the data file?")
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parser.add_argument('--static_step', action='store_true',
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help="Is the step variable static in the data file?")
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args = parser.parse_args()
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data = open(args.data_file).read()
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# d = {'static variable' : {step : time, step : time}}
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def prep_data(static_var, data):
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non_static_var = (static_var + 1) % 2 # if 0 then 1, if 1 then 0
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#non_static_var = 1 - static_var #rip :(
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lines = data.split('\n')
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static_vars = set()
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data = defaultdict(dict)
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for line in lines[0:-1]:
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all_vars = re.findall(r"\d+", line)
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static = int(all_vars[static_var])
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non_static = int(all_vars[non_static_var])
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time = int(all_vars[2])
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static_vars.add(static)
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data[static][non_static] = time
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return data
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static_var = 0 if args.static_n else 1
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plot_data = prep_data(static_var, data)
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df = pd.DataFrame(data=plot_data)
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print(df)
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plt.imshow(df, cmap='hot')
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plt.show()
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#first = plot_data[list(plot_data.keys())[2]]
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#plt.plot(first[0], first[1])
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#for static, plotting_data in plot_data.items():
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# x_axis = [log2(x) for x in plotting_data[0]]
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# plt.plot(x_axis, plotting_data[1], marker="o", label = static)
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#plt.xticks([2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26], ["$log2(2^2)$", "log2(2^4)", "log2(2^6)", "log2(2^8)", "log2(2^10)", "log2(2^12)", "log2(2^14)", "log2(2^16)", "log2(2^18)", "log2(2^20)", "log2(2^22)", "log2(2^24)", "log2(2^26)"])
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#plt.legend(loc=1, borderaxespad=0.)
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#plt.ylabel('time/ms')
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#plt.xlabel('log(step)')
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#plt.show()
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