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Added grid lines in plot

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Sudipta Basak 2024-03-28 04:47:12 +00:00
parent 6bd277f54b
commit 0656789c12
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2 changed files with 6 additions and 4 deletions
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5
ConnectivityTest/MaliciousNodesVsNetDegree/prog.py
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@ -14,6 +14,7 @@ def plotData(conf):
plt.ylabel(conf['ylabel'])
plt.title(conf['title'])
plt.legend()
plt.grid(True)
plt.savefig(conf['plotPath'])
plt.clf()
@ -37,7 +38,7 @@ def getValidatorCountPerColumn(numberOfCols, numOfValidators, chiC):
return validatorCountPerColumn
def runOnce(run_i, runs, deg, validatorCountPerCol, malNodesPercentage):
def runOnce(deg, validatorCountPerCol, malNodesPercentage):
isParted = False
partCount = 0
isPartedCount = 0
@ -63,7 +64,7 @@ def study():
for mal in mals:
isPartedCount = partCount = 0
validatorCountPerColumn = getValidatorCountPerColumn(numberOfColumns, numberOfValidators, custody)
results = Parallel(-1)(delayed(runOnce)(_run, runs, deg, validatorCountPerColumn, mal) for _run in range(runs))
results = Parallel(-1)(delayed(runOnce)(deg, validatorCountPerColumn, mal) for _run in range(runs))
isPartedCount = sum([res[0] for res in results])
partCount = sum([res[1] for res in results])
partPercentages.append(isPartedCount * 100 / runs)

5
ConnectivityTest/MaliciousNodesVsNumberOfNodes/prog.py
View File

@ -15,6 +15,7 @@ def plotData(conf):
plt.ylabel(conf['ylabel'])
plt.title(conf['title'])
plt.legend()
plt.grid(True)
plt.savefig(conf['plotPath'])
plt.clf()
@ -38,7 +39,7 @@ def getValidatorCountPerColumn(numberOfCols, numOfValidators, chiC):
return validatorCountPerColumn
def runOnce(run_i, runs, deg, validatorCountPerCol, malNodesPercentage):
def runOnce(deg, validatorCountPerCol, malNodesPercentage):
isParted = False
partCount = 0
isPartedCount = 0
@ -64,7 +65,7 @@ def study():
for mal in mals:
isPartedCount = partCount = 0
validatorCountPerColumn = getValidatorCountPerColumn(numberOfColumns, nv, custody)
results = Parallel(-1)(delayed(runOnce)(_run, runs, deg, validatorCountPerColumn, mal) for _run in range(runs))
results = Parallel(-1)(delayed(runOnce)(deg, validatorCountPerColumn, mal) for _run in range(runs))
isPartedCount = sum([res[0] for res in results])
partCount = sum([res[1] for res in results])
partPercentages.append(isPartedCount * 100 / runs)