[0bb691b1] | 1 | #!/usr/bin/python3 |
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| 2 | """ |
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| 3 | Python Script to plot values obtained by the rmit.py script |
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| 4 | Runs a R.I.P.L. |
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| 5 | |
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| 6 | ./plot.py |
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| 7 | -t trials |
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| 8 | -o option:values |
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| 9 | """ |
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| 10 | |
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| 11 | import argparse |
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| 12 | import itertools |
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| 13 | import json |
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| 14 | import math |
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| 15 | import numpy |
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| 16 | import re |
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| 17 | import sys |
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| 18 | |
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| 19 | import matplotlib.pyplot as plt |
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| 20 | from matplotlib.ticker import EngFormatter |
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| 21 | |
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[44706d1] | 22 | class Field: |
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| 23 | def __init__(self, unit, _min): |
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| 24 | self.unit = unit |
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| 25 | self.min = _min |
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| 26 | |
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| 27 | field_names = { |
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| 28 | "ns per ops" : Field('ns' , 0), |
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| 29 | "Number of processors" : Field('' , 1), |
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| 30 | "Ops per procs" : Field('Ops' , 0), |
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| 31 | "Ops per threads" : Field('Ops' , 0), |
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| 32 | "ns per ops/procs" : Field('ns' , 0), |
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| 33 | "Number of threads" : Field('thrd' , 1), |
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| 34 | "Total Operations(ops)": Field('Ops' , 0), |
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| 35 | "Ops/sec/procs" : Field('Ops' , 0), |
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| 36 | "Total blocks" : Field('Blocks', 0), |
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| 37 | "Ops per second" : Field('Ops' , 0), |
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| 38 | "Cycle size (# thrds)" : Field('thrd' , 1), |
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| 39 | "Duration (ms)" : Field('ms' , 0), |
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| 40 | } |
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[0bb691b1] | 41 | |
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[f34f95c] | 42 | def plot(data, x, y, out): |
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[0bb691b1] | 43 | fig, ax = plt.subplots() |
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[44706d1] | 44 | colors = itertools.cycle(['#0095e3','#006cb4','#69df00','#0aa000','#fb0300','#e30002','#fd8f00','#ff7f00','#8f00d6','#4b009a','#ffff00','#b13f00']) |
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[0bb691b1] | 45 | series = {} |
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| 46 | for entry in data: |
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| 47 | if not entry[0] in series: |
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| 48 | series[entry[0]] = {'x':[], 'y':[]} |
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| 49 | |
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| 50 | if x in entry[2] and y in entry[2]: |
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| 51 | series[entry[0]]['x'].append(entry[2][x]) |
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| 52 | series[entry[0]]['y'].append(entry[2][y]) |
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| 53 | |
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| 54 | for name, data in series.items(): |
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| 55 | plt.scatter(data['x'], data['y'], color=next(colors), label=name, marker='x') |
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| 56 | |
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| 57 | mx = max([max(s['x']) for s in series.values()]) |
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| 58 | my = max([max(s['y']) for s in series.values()]) |
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| 59 | |
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| 60 | plt.ylabel(y) |
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[44706d1] | 61 | plt.xlim(field_names[x].min, mx + 0.25) |
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[0bb691b1] | 62 | plt.xticks(range(1, math.ceil(mx) + 1)) |
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| 63 | plt.xlabel(x) |
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[44706d1] | 64 | plt.ylim(field_names[y].min, my*1.2) |
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[0bb691b1] | 65 | plt.grid(b = True) |
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[44706d1] | 66 | ax.xaxis.set_major_formatter( EngFormatter(unit=field_names[x].unit) ) |
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| 67 | ax.yaxis.set_major_formatter( EngFormatter(unit=field_names[y].unit) ) |
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| 68 | plt.legend(loc='upper left') |
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[f34f95c] | 69 | if out: |
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| 70 | plt.savefig(out) |
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| 71 | else: |
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| 72 | plt.show() |
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[0bb691b1] | 73 | |
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| 74 | |
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| 75 | if __name__ == "__main__": |
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| 76 | # ================================================================================ |
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| 77 | # parse command line arguments |
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| 78 | parser = parser = argparse.ArgumentParser(description='Python Script to draw R.M.I.T. results') |
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| 79 | parser.add_argument('-f', '--file', nargs='?', type=argparse.FileType('r'), default=sys.stdin) |
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[f34f95c] | 80 | parser.add_argument('-o', '--out', nargs='?', type=str, default=None) |
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| 81 | parser.add_argument('-y', nargs='?', type=str, default="") |
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[0bb691b1] | 82 | |
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| 83 | try: |
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| 84 | options = parser.parse_args() |
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| 85 | except: |
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| 86 | print('ERROR: invalid arguments', file=sys.stderr) |
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| 87 | parser.print_help(sys.stderr) |
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| 88 | sys.exit(1) |
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| 89 | |
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| 90 | # ================================================================================ |
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| 91 | # load data |
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| 92 | try : |
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| 93 | data = json.load(options.file) |
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| 94 | except : |
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| 95 | print('ERROR: could not read input', file=sys.stderr) |
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| 96 | parser.print_help(sys.stderr) |
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| 97 | sys.exit(1) |
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| 98 | |
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| 99 | # ================================================================================ |
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| 100 | # identify the keys |
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| 101 | |
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| 102 | series = set() |
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| 103 | fields = set() |
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| 104 | |
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| 105 | for entry in data: |
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| 106 | series.add(entry[0]) |
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| 107 | for label in entry[2].keys(): |
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| 108 | fields.add(label) |
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| 109 | |
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[f34f95c] | 110 | if not options.out : |
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| 111 | print(series) |
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| 112 | print("fields") |
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| 113 | for f in fields: |
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| 114 | print("{}".format(f)) |
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| 115 | |
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| 116 | if options.y and options.y in field_names.keys(): |
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| 117 | plot(data, "Number of processors", options.y, options.out) |
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| 118 | else: |
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| 119 | if options.y: |
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| 120 | print("Could not find key '{}', defaulting to 'ns per ops'".format(options.y)) |
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| 121 | plot(data, "Number of processors", "ns per ops", options.out) |
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