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Major improvement to the bar graph generation.

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This commit is contained in:
Ross Thompson 2023-09-25 09:55:38 -05:00
parent 633bfd4633
commit 95cd882089
1 changed files with 54 additions and 9 deletions
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63
bin/parseTest.py
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@ -29,7 +29,7 @@ import os
import sys import sys
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import math import math
import numpy as np
import argparse import argparse
@ -285,6 +285,25 @@ def ReportAsGraph(benchmarkDict, bar):
axes.set_xticklabels(xdata) axes.set_xticklabels(xdata)
axes.grid(color='b', alpha=0.5, linestyle='dashed', linewidth=0.5) axes.grid(color='b', alpha=0.5, linestyle='dashed', linewidth=0.5)
# if(not args.summary):
# size = len(benchmarkDict)
# sizeSqrt = math.sqrt(size)
# isSquare = math.isclose(sizeSqrt, round(sizeSqrt))
# numCol = math.floor(sizeSqrt)
# numRow = numCol + (0 if isSquare else 1)
# index = 1
# fig = plt.figure()
# for benchmarkName in benchmarkDict:
# currBenchmark = benchmarkDict[benchmarkName]
# (names, typs, sizes, values) = FormatToPlot(currBenchmark)
# #axes.plot(numRow, numCol, index)
# ax = fig.add_subplot(numRow, numCol, index)
# ax.bar(names, values)
# ax.title.set_text(benchmarkName)
# #plt.ylabel('BR Dir Miss Rate (%)')
# #plt.xlabel('Predictor')
# index += 1
if(not args.summary): if(not args.summary):
size = len(benchmarkDict) size = len(benchmarkDict)
sizeSqrt = math.sqrt(size) sizeSqrt = math.sqrt(size)
@ -292,17 +311,43 @@ def ReportAsGraph(benchmarkDict, bar):
numCol = math.floor(sizeSqrt) numCol = math.floor(sizeSqrt)
numRow = numCol + (0 if isSquare else 1) numRow = numCol + (0 if isSquare else 1)
index = 1 index = 1
fig = plt.figure() fig = plt.subplots()
testLimit = 7
xlabelList = []
seriesDict = {}
NumberInGroup = len(benchmarkDict['Mean'])
# Figure out width of bars. NumberInGroup bars + want 2 bar space
# the space between groups is 1
EffectiveNumInGroup = NumberInGroup + 2
barWidth = 1 / EffectiveNumInGroup
for benchmarkName in benchmarkDict: for benchmarkName in benchmarkDict:
currBenchmark = benchmarkDict[benchmarkName] currBenchmark = benchmarkDict[benchmarkName]
(names, typs, sizes, values) = FormatToPlot(currBenchmark) xlabelList.append(benchmarkName)
#axes.plot(numRow, numCol, index) for (name, typ, size, value) in currBenchmark:
ax = fig.add_subplot(numRow, numCol, index) if(name not in seriesDict):
ax.bar(names, values) seriesDict[name] = [value]
ax.title.set_text(benchmarkName) else:
#plt.ylabel('BR Dir Miss Rate (%)') seriesDict[name].append(value)
#plt.xlabel('Predictor') #print(currBenchmark)
#(names, typs, sizes, values) = FormatToPlot(currBenchmark)
#xpos = np.arange(testLimit + index*barWidth)
#print(f'xpos = {xpos}, values={values}')
#plt.bar(xpos, values, wdith=barWidth, edgecolor='grey', label=names)
if(index >= testLimit): break
index += 1 index += 1
print(f'xlabelList = {xlabelList}')
print(f'seriesDict = {seriesDict}')
index = 0
for name in seriesDict:
xpos = np.arange(testLimit)
xpos = [x + index*barWidth for x in xpos]
values = seriesDict[name]
print(f'xpos = {xpos}, values={values}')
plt.bar(xpos, values, width=barWidth, edgecolor='grey', label=name)
index += 1
plt.xticks([r + barWidth*(NumberInGroup/2-0.5) for r in range(0, testLimit)], xlabelList)
plt.legend()
plt.show() plt.show()