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Support commulative timeseries graph for osg stats

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elsid 2021-09-06 00:00:56 +02:00
parent c4dca196b9
commit 43538a5ca5
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1 changed files with 24 additions and 4 deletions
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28
scripts/osg_stats.py
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@ -13,11 +13,14 @@ import statistics
import sys import sys
import termtables import termtables
@click.command() @click.command()
@click.option('--print_keys', is_flag=True, @click.option('--print_keys', is_flag=True,
help='Print a list of all present keys in the input file.') help='Print a list of all present keys in the input file.')
@click.option('--timeseries', type=str, multiple=True, @click.option('--timeseries', type=str, multiple=True,
help='Show a graph for given metric over time.') help='Show a graph for given metric over time.')
@click.option('--commulative_timeseries', type=str, multiple=True,
help='Show a graph for commulative sum of a given metric over time.')
@click.option('--hist', type=str, multiple=True, @click.option('--hist', type=str, multiple=True,
help='Show a histogram for all values of given metric.') help='Show a histogram for all values of given metric.')
@click.option('--hist_ratio', nargs=2, type=str, multiple=True, @click.option('--hist_ratio', nargs=2, type=str, multiple=True,
@ -34,6 +37,8 @@ import termtables
help='Print table with stats for a given metric containing min, max, mean, median etc.') help='Print table with stats for a given metric containing min, max, mean, median etc.')
@click.option('--timeseries_sum', is_flag=True, @click.option('--timeseries_sum', is_flag=True,
help='Add a graph to timeseries for a sum per frame of all given timeseries metrics.') help='Add a graph to timeseries for a sum per frame of all given timeseries metrics.')
@click.option('--commulative_timeseries_sum', is_flag=True,
help='Add a graph to timeseries for a sum per frame of all given commulative timeseries.')
@click.option('--stats_sum', is_flag=True, @click.option('--stats_sum', is_flag=True,
help='Add a row to stats table for a sum per frame of all given stats metrics.') help='Add a row to stats table for a sum per frame of all given stats metrics.')
@click.option('--begin_frame', type=int, default=0, @click.option('--begin_frame', type=int, default=0,
@ -42,7 +47,8 @@ import termtables
help='End processing at this frame.') help='End processing at this frame.')
@click.argument('path', default='', type=click.Path()) @click.argument('path', default='', type=click.Path())
def main(print_keys, timeseries, hist, hist_ratio, stdev_hist, plot, stats, def main(print_keys, timeseries, hist, hist_ratio, stdev_hist, plot, stats,
timeseries_sum, stats_sum, begin_frame, end_frame, path): timeseries_sum, stats_sum, begin_frame, end_frame, path,
commulative_timeseries, commulative_timeseries_sum):
data = list(read_data(path)) data = list(read_data(path))
keys = collect_unique_keys(data) keys = collect_unique_keys(data)
frames = collect_per_frame(data=data, keys=keys, begin_frame=begin_frame, end_frame=end_frame) frames = collect_per_frame(data=data, keys=keys, begin_frame=begin_frame, end_frame=end_frame)
@ -50,7 +56,9 @@ def main(print_keys, timeseries, hist, hist_ratio, stdev_hist, plot, stats,
for v in keys: for v in keys:
print(v) print(v)
if timeseries: if timeseries:
draw_timeseries(frames=frames, keys=timeseries, timeseries_sum=timeseries_sum) draw_timeseries(frames=frames, keys=timeseries, add_sum=timeseries_sum)
if commulative_timeseries:
draw_commulative_timeseries(frames=frames, keys=commulative_timeseries, add_sum=commulative_timeseries_sum)
if hist: if hist:
draw_hists(frames=frames, keys=hist) draw_hists(frames=frames, keys=hist)
if hist_ratio: if hist_ratio:
@ -105,18 +113,30 @@ def collect_unique_keys(frames):
return sorted(result) return sorted(result)
def draw_timeseries(frames, keys, timeseries_sum): def draw_timeseries(frames, keys, add_sum):
fig, ax = matplotlib.pyplot.subplots() fig, ax = matplotlib.pyplot.subplots()
x = numpy.array(range(max(len(v) for k, v in frames.items() if k in keys))) x = numpy.array(range(max(len(v) for k, v in frames.items() if k in keys)))
for key in keys: for key in keys:
ax.plot(x, frames[key], label=key) ax.plot(x, frames[key], label=key)
if timeseries_sum: if add_sum:
ax.plot(x, numpy.sum(list(frames[k] for k in keys), axis=0), label='sum') ax.plot(x, numpy.sum(list(frames[k] for k in keys), axis=0), label='sum')
ax.grid(True) ax.grid(True)
ax.legend() ax.legend()
fig.canvas.set_window_title('timeseries') fig.canvas.set_window_title('timeseries')
def draw_commulative_timeseries(frames, keys, add_sum):
fig, ax = matplotlib.pyplot.subplots()
x = numpy.array(range(max(len(v) for k, v in frames.items() if k in keys)))
for key in keys:
ax.plot(x, numpy.cumsum(frames[key]), label=key)
if add_sum:
ax.plot(x, numpy.cumsum(numpy.sum(list(frames[k] for k in keys), axis=0)), label='sum')
ax.grid(True)
ax.legend()
fig.canvas.set_window_title('commulative_timeseries')
def draw_hists(frames, keys): def draw_hists(frames, keys):
fig, ax = matplotlib.pyplot.subplots() fig, ax = matplotlib.pyplot.subplots()
bins = numpy.linspace( bins = numpy.linspace(