add ecdf, boxen, box plots for restore row & col
Signed-off-by: Arunima Chaudhuri <arunimachaudhuri2020@gmail.com>
This commit is contained in:
Arunima Chaudhuri
parent
1893cc7bd0
commit
62a2116434
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@ -96,13 +96,13 @@ class Visualizor:
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self.plotSentData(result, plotPath)
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self.plotRecvData(result, plotPath)
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self.plotDupData(result, plotPath)
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self.plotRestoreRowCount(result, plotPath)
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self.plotRestoreColumnCount(result, plotPath)
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# self.plotSamplesRepaired(result, plotPath)
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# self.plotMessagesSent(result, plotPath)
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# self.plotMessagesRecv(result, plotPath)
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# self.plotSampleRecv(result, plotPath)
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# self.plotRestoreRowCount(result, plotPath)
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# self.plotRestoreColumnCount(result, plotPath)
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# if self.config.saveRCdist:
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# self.plotRowCol(result, plotPath)
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@ -110,6 +110,8 @@ class Visualizor:
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# self.plotBoxMessagesSent(result, plotPath)
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# self.plotBoxMessagesRecv(result, plotPath)
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# self.plotBoxSampleRecv(result, plotPath)
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# self.plotBoxRestoreColumnCount(result, plotPath)
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# self.plotBoxRestoreRowCount(result, plotPath)
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# if self.config.saveRCdist:
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# self.plotBoxRowCol(result, plotPath)
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@ -117,6 +119,8 @@ class Visualizor:
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self.plotBoxenMessagesSent(result, plotPath)
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self.plotBoxenMessagesRecv(result, plotPath)
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self.plotBoxenSamplesRecv(result, plotPath)
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self.plotBoxenRestoreRowCount(result, plotPath)
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self.plotBoxenRestoreColumnCount(result, plotPath)
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if self.config.saveRCdist:
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self.plotBoxenRowColDist(result, plotPath)
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@ -124,10 +128,150 @@ class Visualizor:
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self.plotECDFMessagesSent(result, plotPath)
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self.plotECDFMessagesRecv(result, plotPath)
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self.plotECDFSamplesReceived(result, plotPath)
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self.plotECDFRestoreRowCount(result, plotPath)
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self.plotECDFRestoreColumnCount(result, plotPath)
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if self.config.saveRCdist:
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self.plotECDFRowColDist(result, plotPath)
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def plotBoxRestoreRowCount(self, result, plotPath):
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"""Box Plot of restoreRowCount for all nodes"""
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plt.clf()
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Row Size: "+text[2]+"\nColumn Size: "+text[6]+"\nNumber of nodes: "+text[10]\
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+"\nFailure rate: "+text[14]+"%"+"\nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
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conf["title"] = "Box Plot of Restore Row Count by Nodes"
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conf["xlabel"] = "Node Type"
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conf["ylabel"] = "Restore Row Count"
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n1 = int(result.numberNodes * result.class1ratio)
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class1_data = result.restoreRowCount[1: n1]
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class2_data = result.restoreRowCount[n1+1: ]
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data = [class1_data, class2_data]
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plt.boxplot(data)
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plt.xticks([1, 2], ['Class 1 Nodes', 'Class 2 Nodes'])
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plt.xlabel(conf["xlabel"])
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plt.ylabel(conf["ylabel"])
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plt.title(conf["title"])
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plt.savefig(plotPath + "/box_restoreRowCount.png", bbox_inches="tight")
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print("Plot %s created." % (plotPath + "/box_restoreRowCount.png"))
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def plotBoxRestoreColumnCount(self, result, plotPath):
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"""Box Plot of restoreColumnCount for all nodes"""
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plt.clf()
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Row Size: "+text[2]+"\nColumn Size: "+text[6]+"\nNumber of nodes: "+text[10]\
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+"\nFailure rate: "+text[14]+"%"+"\nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
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conf["title"] = "Box Plot of Restore Column Count by Nodes"
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conf["xlabel"] = "Node Type"
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conf["ylabel"] = "Restore Column Count"
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n1 = int(result.numberNodes * result.class1ratio)
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class1_data = result.restoreColumnCount[1: n1]
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class2_data = result.restoreColumnCount[n1+1: ]
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data = [class1_data, class2_data]
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plt.boxplot(data)
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plt.xticks([1, 2], ['Class 1 Nodes', 'Class 2 Nodes'])
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plt.xlabel(conf["xlabel"])
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plt.ylabel(conf["ylabel"])
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plt.title(conf["title"])
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plt.savefig(plotPath + "/box_restoreColumnCount.png", bbox_inches="tight")
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print("Plot %s created." % (plotPath + "/box_restoreColumnCount.png"))
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def plotBoxenRestoreRowCount(self, result, plotPath):
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"""Plots the Boxen plot of restoreRowCount for all nodes"""
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plt.clf()
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Row Size: "+text[2]+"\nColumn Size: "+text[6]+"\nNumber of nodes: "+text[10]\
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+"\nFailure rate: "+text[14]+"%"+" \nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
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conf["title"] = "Boxen Plot of Restore Row Count by Nodes"
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conf["xlabel"] = "Restore Row Count"
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conf["ylabel"] = "Nodes"
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n1 = int(result.numberNodes * result.class1ratio)
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data = [result.restoreRowCount[1: n1], result.restoreRowCount[n1+1: ]]
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plt.figure(figsize=(8, 6))
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sns.boxenplot(data=data, width=0.8)
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plt.xlabel(conf["xlabel"])
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plt.ylabel(conf["ylabel"])
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plt.title(conf["title"])
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props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
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plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
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plt.savefig(plotPath + "/boxen_restoreRowCount.png", bbox_inches="tight")
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print("Plot %s created." % (plotPath + "/boxen_restoreRowCount.png"))
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def plotBoxenRestoreColumnCount(self, result, plotPath):
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"""Plots the Boxen plot of restoreColumnCount for all nodes"""
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plt.clf()
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Row Size: "+text[2]+"\nColumn Size: "+text[6]+"\nNumber of nodes: "+text[10]\
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+"\nFailure rate: "+text[14]+"%"+" \nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
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conf["title"] = "Boxen Plot of Restore Column Count by Nodes"
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conf["xlabel"] = "Restore Column Count"
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conf["ylabel"] = "Nodes"
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n1 = int(result.numberNodes * result.class1ratio)
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data = [result.restoreColumnCount[1: n1], result.restoreColumnCount[n1+1: ]]
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plt.figure(figsize=(8, 6))
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sns.boxenplot(data=data, width=0.8)
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plt.xlabel(conf["xlabel"])
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plt.ylabel(conf["ylabel"])
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plt.title(conf["title"])
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props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
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plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
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plt.savefig(plotPath + "/boxen_restoreColumnCount.png", bbox_inches="tight")
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print("Plot %s created." % (plotPath + "/boxen_restoreColumnCount.png"))
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def plotECDFRestoreRowCount(self, result, plotPath):
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"""Plots the ECDF of restoreRowCount for all nodes using seaborn's ecdfplot"""
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plt.clf()
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Row Size: "+text[2]+"\nColumn Size: "+text[6]+"\nNumber of nodes: "+text[10]\
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+"\nFailure rate: "+text[14]+"%"+" \nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
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conf["title"] = "ECDF of Restore Row Count by Nodes"
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conf["xlabel"] = "Restore Row Count"
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conf["ylabel"] = "ECDF"
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n1 = int(result.numberNodes * result.class1ratio)
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class1_data = result.restoreRowCount[1: n1]
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class2_data = result.restoreRowCount[n1+1: ]
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sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
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sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
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plt.xlabel(conf["xlabel"])
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plt.ylabel(conf["ylabel"])
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plt.title(conf["title"])
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plt.xlim(left=0, right=max(result.restoreRowCount) * 1.1)
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props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
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plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
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plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
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plt.savefig(plotPath + "/ecdf_restoreRowCount.png", bbox_inches="tight")
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print("Plot %s created." % (plotPath + "/ecdf_restoreRowCount.png"))
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def plotECDFRestoreColumnCount(self, result, plotPath):
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"""Plots the ECDF of restoreColumnCount for all nodes using seaborn's ecdfplot"""
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plt.clf()
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Row Size: "+text[2]+"\nColumn Size: "+text[6]+"\nNumber of nodes: "+text[10]\
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+"\nFailure rate: "+text[14]+"%"+" \nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
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conf["title"] = "ECDF of Restore Column Count by Nodes"
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conf["xlabel"] = "Restore Column Count"
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conf["ylabel"] = "ECDF"
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n1 = int(result.numberNodes * result.class1ratio)
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class1_data = result.restoreColumnCount[1: n1]
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class2_data = result.restoreColumnCount[n1+1: ]
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sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
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sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
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plt.xlabel(conf["xlabel"])
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plt.ylabel(conf["ylabel"])
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plt.title(conf["title"])
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plt.xlim(left=0, right=max(result.restoreColumnCount) * 1.1)
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props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
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plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
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plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
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plt.savefig(plotPath + "/ecdf_restoreColumnCount.png", bbox_inches="tight")
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print("Plot %s created." % (plotPath + "/ecdf_restoreColumnCount.png"))
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def plotECDFMessagesSent(self, result, plotPath):
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"""Plots the ECDF of messages sent by all nodes using seaborn's ecdfplot"""
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plt.clf()
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