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Description
Consider posting in https://github.com/nschloe/perfplot/discussions for feedback before raising a feature request.
How would you improve perfplot?
Format the time in perfplot.bench() output in a manner similar to timeit module.
Proposal:
Adding a new function:
def format_time(dt: float, precision: int=3):
"""Formats time to unit. Taken from `timeit` module."""
units = {"nsec": 1e-9, "usec": 1e-6, "msec": 1e-3, "sec": 1.0}
scales = [(scale, unit) for unit, scale in units.items()]
scales.sort(reverse=True)
for scale, unit in scales:
if dt >= scale:
break
return "%.*g %s" % (precision, dt / scale, unit)Then, formatting it in PerfplotData.__repr__(self)
perfplot/src/perfplot/_main.py
Line 171 in f224a89
| lst = [str(n)] + [str(tt) for tt in t] |
- lst = [str(n)] + [str(tt) for tt in t]
+ lst = [str(n)] + [format_time(tt) for tt in t]What problem does it solved for you?
Right now the output from perfplot.bench() is not very readable:
Code:
out = perfplot.bench(...)
print(out)Current output:
Overall ---------------------------------------- 100% 0:00:00
Kernels ---------------------------------------- 0% 0:00:02
┌────┬────────────────────────┬────────────────────────┬────────────────────────┐
│ n │ kernel1 │ kernel2 │ kernel3 │
├────┼────────────────────────┼────────────────────────┼────────────────────────┤
│ 4 │ 0.00010070000000000001 │ 4.2600000000000005e-05 │ 1.8000000000000001e-06 │
│ 8 │ 0.0002924 │ 0.0006585 │ 7.8e-06 │
│ 16 │ 0.0010366000000000002 │ 0.0052959 │ 4.1e-05 │
└────┴────────────────────────┴────────────────────────┴────────────────────────┘
Proposed output:
Overall ---------------------------------------- 100% 0:00:00
Kernels ---------------------------------------- 0% -:--:--
┌────┬───────────┬───────────┬───────────┐
│ n │ kernel1 │ kernel2 │ kernel3 │
├────┼───────────┼───────────┼───────────┤
│ 4 │ 158 usec │ 55.2 usec │ 18.1 usec │
│ 8 │ 386 usec │ 865 usec │ 10.9 usec │
│ 16 │ 1.43 msec │ 10.8 msec │ 57.5 usec │
└────┴───────────┴───────────┴───────────┘
Did I help
If I was able to resolve your problem, consider sponsoring my work on perfplot, or buy me a coffee to say thanks.
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