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Plot one or multiple jobs.

master
Julian M. Kunkel 3 years ago
parent
commit
343b77a036
  1. 69
      scripts/plot-single-job.py

69
scripts/plot-single-job.py

@ -0,0 +1,69 @@
#!/usr/bin/env python3
import csv
import sys
from pandas import DataFrame
from pandas import Grouper
from matplotlib import pyplot
jobs = sys.argv[1:]
print("Analyzing the jobs: " + str(jobs))
# Plot the timeseries
def plot(header, row):
x = { h : d for (h, d) in zip(header, row)}
jobid = x["jobid"]
del x["jobid"]
del x["coding_abs"]
del x["coding_abs_aggzeros"]
result = []
for k in x:
timeseries = x[k].split(":")
timeseries = [ float(x) for x in timeseries]
if sum(timeseries) == 0:
continue
timeseries = [ [k, x, s] for (s,x) in zip(timeseries, range(1, len(timeseries))) ]
result.extend(timeseries)
data = DataFrame(result, columns=["metrics", "segment", "value"])
groups = data.groupby(["metrics"])
metrics = DataFrame()
labels = []
for name, group in groups:
metrics[name] = [x[2] for x in group.values]
labels.append(name)
ax = metrics.plot(subplots=True, legend=False, sharex=True, grid = True, sharey=True, colormap='jet', marker='.', markersize=10)
for (i, l) in zip(range(0, len(labels)), labels):
ax[i].set_ylabel(l)
pyplot.xlabel("Segment number")
pyplot.savefig("timeseries" + jobid + ".png")
# Plot first 30 minutes
ax = metrics.plot(subplots=True, legend=False, sharex=True, grid = True, sharey=True, colormap='jet', marker='.', markersize=10, xlim=(0,30))
for (i, l) in zip(range(0, len(labels)), labels):
ax[i].set_ylabel(l)
pyplot.xlabel("Segment number")
pyplot.savefig("timeseries" + jobid + "-30.png")
with open('job-io-datasets/datasets/job_codings.csv') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
line_count = 0
for row in csv_reader:
if line_count == 0:
header = row
line_count += 1
continue
if not row[0].strip() in jobs:
continue
else:
plot(header, row)
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