logos-storage/das-research
1
0
Fork 0
mirror of https://github.com/logos-storage/das-research.git synced 2026-01-05 22:53:07 +00:00
Code Issues Packages Projects Releases Wiki Activity

Messages Received boxen plot updated

Browse Source
This commit is contained in:
Sudipta Basak 2024-06-04 21:19:55 +00:00
parent 92b6778622
commit 346195bd8d
No known key found for this signature in database
1 changed files with 17 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

23
DAS/visualizor.py
View File

@ -614,7 +614,7 @@ class Visualizor:
'category': _categories 'category': _categories
}) })
plt.figure(figsize=(8, 6)) plt.figure(figsize=(8, 6))
sns.boxenplot(x='category', y='values', data=data, width=0.8) sns.boxenplot(x='category', y='values', data=data, width=0.8, palette="Set2", ax=plt.gca())
plt.xlabel(conf["xlabel"], fontsize=12) plt.xlabel(conf["xlabel"], fontsize=12)
plt.ylabel(conf["ylabel"], fontsize=12) plt.ylabel(conf["ylabel"], fontsize=12)
plt.title(conf["title"], fontsize=14) plt.title(conf["title"], fontsize=14)
@ -694,7 +694,7 @@ class Visualizor:
'values': _values, 'values': _values,
'category': _categories 'category': _categories
}) })
sns.boxenplot(x='category', y='values', data=data, width=0.8) sns.boxenplot(x='category', y='values', data=data, width=0.8, palette="Set2", ax=plt.gca())
plt.xlabel(conf["xlabel"], fontsize=12) plt.xlabel(conf["xlabel"], fontsize=12)
plt.ylabel(conf["ylabel"], fontsize=12) plt.ylabel(conf["ylabel"], fontsize=12)
plt.title(conf["title"], fontsize=14) plt.title(conf["title"], fontsize=14)
@ -721,10 +721,21 @@ class Visualizor:
conf["title"] = "Number of Messages Received by Nodes" conf["title"] = "Number of Messages Received by Nodes"
conf["xlabel"] = "Node Type" conf["xlabel"] = "Node Type"
conf["ylabel"] = "Number of Messages Received" conf["ylabel"] = "Number of Messages Received"
n1 = int(result.numberNodes * result.class1ratio) data = []
data = [result.msgRecvCount[1: n1], result.msgRecvCount[n1+1: ]] nodeClasses, nodeRanges = self.__getNodeRanges(result.shape)
labels = ["Class 1", "Class 2"] _start = 1
sns.boxenplot(data=data, palette="Set2", ax=plt.gca()) for _range in nodeRanges:
data.append(result.msgRecvCount[_start: _range])
_start = _range
_values, _categories = [], []
for _d, _nc in zip(data, nodeClasses):
_values += _d
_categories += [f'Class {_nc}'] * len(_d)
data = pd.DataFrame({
'values': _values,
'category': _categories
})
sns.boxenplot(x='category', y='values', data=data, palette="Set2", ax=plt.gca())
plt.xlabel(conf["xlabel"], fontsize=12) plt.xlabel(conf["xlabel"], fontsize=12)
plt.ylabel(conf["ylabel"], fontsize=12) plt.ylabel(conf["ylabel"], fontsize=12)
plt.title(conf["title"], fontsize=14) plt.title(conf["title"], fontsize=14)