julian.kunkel/mistral-io-datasets
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Plot diagrams more recognizable.

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Julian M. Kunkel 2020-08-19 19:23:10 +01:00
parent 3e38472696
commit 743f1f0e39
5 changed files with 40 additions and 6 deletions
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fig/job-timeseries4296426.pdf
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fig/job-timeseries5024292.pdf
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fig/job-timeseries7488914-30.pdf
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46
scripts/plot-single-job.py
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@ -24,6 +24,28 @@ colorMap = { "md_file_create": cm.tab10(0),
"write_calls": cm.tab10(8)
}
markerMap = { "md_file_create": "^",
"md_file_delete": "v",
"md_other": ".",
"md_mod": "<",
"md_read": ">",
"read_bytes": "h",
"read_calls": "H",
"write_bytes": "D",
"write_calls": "d"
}
linestyleMap = { "md_file_create": ":",
"md_file_delete": ":",
"md_mod": ":",
"md_other": ":",
"md_read": ":",
"read_bytes": "--",
"read_calls": "--",
"write_bytes": "-.",
"write_calls": "-."
}
# Plot the timeseries
def plot(prefix, header, row):
x = { h : d for (h, d) in zip(header, row)}
@ -50,16 +72,23 @@ def plot(prefix, header, row):
metrics = DataFrame()
labels = []
colors = []
style = []
for name, group in groups:
metrics[name] = [x[2] for x in group.values]
labels.append(name)
style.append(linestyleMap[name] + markerMap[name])
colors.append(colorMap[name])
fsize = (8, 1 + 1.5 * len(labels))
fsizeFixed = (8, 3)
ax = metrics.plot(subplots=True, legend=False, sharex=True, grid = True, sharey=True, marker='.', markersize=10, figsize=fsize, color=colors)
for (i, l) in zip(range(0, len(labels)), labels):
ax[i].set_ylabel(l)
if len(labels) < 4 :
ax = metrics.plot(legend=True, sharex=True, grid = True, sharey=True, markersize=10, figsize=fsizeFixed, color=colors, style=style)
ax.set_ylabel("Value")
else:
ax = metrics.plot(subplots=True, legend=False, sharex=True, grid = True, sharey=True, markersize=10, figsize=fsize, color=colors, style=style)
for (i, l) in zip(range(0, len(labels)), labels):
ax[i].set_ylabel(l)
pyplot.xlabel("Segment number")
pyplot.savefig(prefix + "timeseries" + jobid + ".pdf")
@ -68,9 +97,14 @@ def plot(prefix, header, row):
if len(timeseries) <= 50:
return
ax = metrics.plot(subplots=True, legend=False, sharex=True, grid = True, sharey=True, marker='.', color=colors, markersize=10, xlim=(0,30), figsize=fsize)
for (i, l) in zip(range(0, len(labels)), labels):
ax[i].set_ylabel(l)
if len(labels) < 4 :
ax = metrics.plot(legend=True, xlim=(0,30), sharex=True, grid = True, sharey=True, markersize=10, figsize=fsizeFixed, color=colors, style=style)
ax.set_ylabel("Value")
else:
ax = metrics.plot(subplots=True, xlim=(0,30), legend=False, sharex=True, grid = True, sharey=True, markersize=10, figsize=fsize, color=colors, style=style)
for (i, l) in zip(range(0, len(labels)), labels):
ax[i].set_ylabel(l)
pyplot.xlabel("Segment number")
pyplot.savefig(prefix + "timeseries" + jobid + "-30.pdf")