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ECDF plots updated

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Sudipta Basak 2024-06-18 09:20:32 +00:00
parent 67c8b09295
commit f4448e4a2a
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1 changed files with 60 additions and 37 deletions
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DAS/visualizor.py
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@ -356,11 +356,15 @@ class Visualizor:
conf["title"] = "ECDF of Restore Row Count by Nodes"
conf["xlabel"] = "Restore Row Count"
conf["ylabel"] = "ECDF"
n1 = int(result.numberNodes * result.class1ratio)
class1_data = result.restoreRowCount[1: n1]
class2_data = result.restoreRowCount[n1+1: ]
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
nodeClasses, nodeRanges = self.__getNodeRanges(result.shape)
start = 1
labels = []
for i, rng in enumerate(nodeRanges):
class_data = result.repairedSampleCount[start: rng + 1]
label = f"Class {nodeClasses[i]} Nodes"
labels.append(label)
start = rng + 1
sns.ecdfplot(data=class_data, label=label)
plt.xlabel(conf["xlabel"], fontsize=12)
plt.ylabel(conf["ylabel"], fontsize=12)
plt.title(conf["title"], fontsize=14)
@ -368,7 +372,7 @@ class Visualizor:
plt.xlim(left=0, right=max_val if max_val > 0 else 1)
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
plt.text(1.05, 0.05, conf["textBox"], fontsize=14, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
plt.legend(title='Node Class', labels=labels, loc=1)
plt.savefig(plotPath + "/ecdf_restoreRowCount.png", bbox_inches="tight")
print("Plot %s created." % (plotPath + "/ecdf_restoreRowCount.png"))
@ -390,11 +394,15 @@ class Visualizor:
conf["title"] = "ECDF of Restore Column Count by Nodes"
conf["xlabel"] = "Restore Column Count"
conf["ylabel"] = "ECDF"
n1 = int(result.numberNodes * result.class1ratio)
class1_data = result.restoreColumnCount[1: n1]
class2_data = result.restoreColumnCount[n1+1: ]
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
nodeClasses, nodeRanges = self.__getNodeRanges(result.shape)
start = 1
labels = []
for i, rng in enumerate(nodeRanges):
class_data = result.repairedSampleCount[start: rng + 1]
label = f"Class {nodeClasses[i]} Nodes"
labels.append(label)
start = rng + 1
sns.ecdfplot(data=class_data, label=label)
plt.xlabel(conf["xlabel"], fontsize=12)
plt.ylabel(conf["ylabel"], fontsize=12)
plt.title(conf["title"], fontsize=14)
@ -402,7 +410,7 @@ class Visualizor:
plt.xlim(left=0, right=max_val if max_val > 0 else 1)
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
plt.text(1.05, 0.05, conf["textBox"], fontsize=14, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
plt.legend(title='Node Class', labels=labels, loc=1)
plt.savefig(plotPath + "/ecdf_restoreColumnCount.png", bbox_inches="tight")
print("Plot %s created." % (plotPath + "/ecdf_restoreColumnCount.png"))
@ -424,12 +432,16 @@ class Visualizor:
conf["title"] = "ECDF of Messages Sent by Nodes"
conf["xlabel"] = "Number of Messages Sent"
conf["ylabel"] = "ECDF"
n1 = int(result.numberNodes * result.class1ratio)
class1_data = result.msgSentCount[1: n1]
class2_data = result.msgSentCount[n1+1: ]
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
nodeClasses, nodeRanges = self.__getNodeRanges(result.shape)
start = 1
labels = []
for i, rng in enumerate(nodeRanges):
class_data = result.msgSentCount[start: rng + 1]
label = f"Class {nodeClasses[i]} Nodes"
labels.append(label)
start = rng + 1
sns.ecdfplot(data=class_data, label=label)
plt.legend(title='Node Class', labels=labels)
plt.xlabel(conf["xlabel"], fontsize=12)
plt.ylabel(conf["ylabel"], fontsize=12)
plt.title(conf["title"], fontsize=14)
@ -457,12 +469,16 @@ class Visualizor:
conf["title"] = "ECDF of Messages Received by Nodes"
conf["xlabel"] = "Number of Messages Received"
conf["ylabel"] = "ECDF"
n1 = int(result.numberNodes * result.class1ratio)
class1_data = result.msgRecvCount[1: n1]
class2_data = result.msgRecvCount[n1+1: ]
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
nodeClasses, nodeRanges = self.__getNodeRanges(result.shape)
start = 1
labels = []
for i, rng in enumerate(nodeRanges):
class_data = result.msgRecvCount[start: rng + 1]
label = f"Class {nodeClasses[i]} Nodes"
labels.append(label)
start = rng + 1
sns.ecdfplot(data=class_data, label=label)
plt.legend(title='Node Class', labels=labels)
plt.xlabel(conf["xlabel"], fontsize=12)
plt.ylabel(conf["ylabel"], fontsize=12)
plt.title(conf["title"], fontsize=14)
@ -490,12 +506,16 @@ class Visualizor:
conf["title"] = "ECDF of Samples Received by Nodes"
conf["xlabel"] = "Number of Samples Received"
conf["ylabel"] = "ECDF"
n1 = int(result.numberNodes * result.class1ratio)
class1_data = result.sampleRecvCount[1: n1]
class2_data = result.sampleRecvCount[n1+1: ]
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
nodeClasses, nodeRanges = self.__getNodeRanges(result.shape)
start = 1
labels = []
for i, rng in enumerate(nodeRanges):
class_data = result.sampleRecvCount[start: rng + 1]
label = f"Class {nodeClasses[i]} Nodes"
labels.append(label)
start = rng + 1
sns.ecdfplot(data=class_data, label=label)
plt.legend(title='Node Class', labels=labels)
plt.xlabel(conf["xlabel"], fontsize=12)
plt.ylabel(conf["ylabel"], fontsize=12)
plt.title(conf["title"], fontsize=14)
@ -525,7 +545,6 @@ class Visualizor:
conf["ylabel"] = "ECDF"
vector1 = result.metrics["rowDist"]
vector2 = result.metrics["columnDist"]
n1 = int(result.numberNodes * result.class1ratio)
sns.ecdfplot(data=vector1, label='Rows')
sns.ecdfplot(data=vector2, label='Columns')
plt.xlabel(conf["xlabel"], fontsize=12)
@ -556,12 +575,16 @@ class Visualizor:
conf["title"] = "ECDF of Samples Repaired by Nodes"
conf["xlabel"] = "Number of Samples Repaired"
conf["ylabel"] = "ECDF"
n1 = int(result.numberNodes * result.class1ratio)
class1_data = result.repairedSampleCount[1: n1]
class2_data = result.repairedSampleCount[n1+1: ]
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'])
nodeClasses, nodeRanges = self.__getNodeRanges(result.shape)
start = 1
labels = []
for i, rng in enumerate(nodeRanges):
class_data = result.repairedSampleCount[start: rng + 1]
label = f"Class {nodeClasses[i]} Nodes"
labels.append(label)
start = rng + 1
sns.ecdfplot(data=class_data, label=label)
plt.legend(title='Node Class', labels=labels)
plt.xlabel(conf["xlabel"], fontsize=12)
plt.ylabel(conf["ylabel"], fontsize=12)
plt.title(conf["title"], fontsize=14)