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correcting class ration in graphs 

Signed-off-by: Arunima Chaudhuri <arunimachaudhuri2020@gmail.com>
This commit is contained in:
Arunima Chaudhuri 2024-02-29 20:09:46 +01:00
parent 575c55480f
commit 14dc9543d7
1 changed files with 8 additions and 11 deletions
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19
DAS/visualizor.py
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@ -219,9 +219,6 @@ class Visualizor:
plt.xlim(left=0, right=max(result.repairedSampleCount) * 1.1)
plt.savefig(plotPath + "/ecdf_samplesRepaired.png", bbox_inches="tight")
print("Plot %s created." % (plotPath + "/ecdf_samplesRepaired.png"))
def plotBoxenSamplesRecv(self, result, plotPath):
"""Boxen Plot of the number of samples received by all nodes"""
@ -234,7 +231,7 @@ class Visualizor:
conf["xlabel"] = "Node Type"
conf["ylabel"] = "Number of Samples Received"
n1 = int(result.numberNodes * result.class1ratio)
data = [result.sampleRecvCount[1: n1], result.sampleRecvCount[n1: ]]
data = [result.sampleRecvCount[1: n1], result.sampleRecvCount[n1+1: ]]
plt.figure(figsize=(8, 6))
sns.boxenplot(data=data, width=0.8)
plt.xlabel(conf["xlabel"])
@ -256,7 +253,7 @@ class Visualizor:
conf["xlabel"] = "Node Type"
conf["ylabel"] = "Number of Samples Repaired"
n1 = int(result.numberNodes * result.class1ratio)
data = [result.repairedSampleCount[1: n1], result.repairedSampleCount[n1: ]]
data = [result.repairedSampleCount[1: n1], result.repairedSampleCount[n1+1: ]]
plt.figure(figsize=(8, 6))
sns.boxenplot(data=data, width=0.8)
plt.xlabel(conf["xlabel"])
@ -305,7 +302,7 @@ class Visualizor:
conf["xlabel"] = "Node Type"
conf["ylabel"] = "Number of Messages Sent"
n1 = int(result.numberNodes * result.class1ratio)
data = [result.msgSentCount[1: n1], result.msgSentCount[n1: ]]
data = [result.msgSentCount[1: n1], result.msgSentCount[n1+1: ]]
labels = ["Class 1", "Class 2"]
sns.boxenplot(data=data, palette="Set2", ax=plt.gca())
plt.xlabel(conf["xlabel"])
@ -325,7 +322,7 @@ class Visualizor:
conf["xlabel"] = "Node Type"
conf["ylabel"] = "Number of Messages Received"
n1 = int(result.numberNodes * result.class1ratio)
data = [result.msgRecvCount[1: n1], result.msgRecvCount[n1: ]]
data = [result.msgRecvCount[1: n1], result.msgRecvCount[n1+1: ]]
labels = ["Class 1", "Class 2"]
sns.boxenplot(data=data, palette="Set2", ax=plt.gca())
plt.xlabel(conf["xlabel"])
@ -348,7 +345,7 @@ class Visualizor:
conf["xlabel"] = "Node Type"
conf["ylabel"] = "Number of Samples Repaired"
n1 = int(result.numberNodes * result.class1ratio)
conf["data"] = [result.repairedSampleCount[1: n1], result.repairedSampleCount[n1: ]]
conf["data"] = [result.repairedSampleCount[1: n1], result.repairedSampleCount[n1+1: ]]
conf["path"] = plotPath + "/box_samplesRepaired.png"
plotBoxData(conf)
print("Plot %s created." % conf["path"])
@ -461,7 +458,7 @@ class Visualizor:
conf["xlabel"] = "Node Type"
conf["ylabel"] = "Number of samples received (%)"
n1 = int(result.numberNodes * result.class1ratio)
conf["data"] = [result.sampleRecvCount[1: n1], result.sampleRecvCount[n1: ]]
conf["data"] = [result.sampleRecvCount[1: n1], result.sampleRecvCount[n1+1: ]]
conf["xdots"] = range(result.shape.numberNodes)
conf["path"] = plotPath + "/box_sampleRecv.png"
plotBoxData(conf)
@ -676,7 +673,7 @@ class Visualizor:
conf["xlabel"] = "Node Type"
conf["ylabel"] = "Number of Messages Sent"
n1 = int(result.numberNodes * result.class1ratio)
conf["data"] = [result.msgSentCount[1: n1], result.msgSentCount[n1: ]]
conf["data"] = [result.msgSentCount[1: n1], result.msgSentCount[n1+1: ]]
conf["path"] = plotPath + "/box_messagesSent.png"
plotBoxData(conf)
print("Plot %s created." % conf["path"])
@ -714,7 +711,7 @@ class Visualizor:
conf["xlabel"] = "Node Type"
conf["ylabel"] = "Number of Messages Received"
n1 = int(result.numberNodes * result.class1ratio)
conf["data"] = [result.msgRecvCount[1: n1], result.msgRecvCount[n1: ]]
conf["data"] = [result.msgRecvCount[1: n1], result.msgRecvCount[n1+1: ]]
conf["xdots"] = range(result.shape.numberNodes)
conf["path"] = plotPath + "/box_messagesRecv.png"
maxi = max(conf["data"])