大约有 4 项符合查询结果（耗时：0.0055秒） [XML]
您是不是要找：
Accessing items in an collections.OrderedDict by index
...(size)})' 'i = randint(0, size-1); d.values()[i]'
100000 loops, best of 3: 2.61 usec per loop
+--------+-----------+----------------+---------+
| size | list (ms) | generator (ms) | indexed |
+--------+-----------+----------------+---------+
| 1000 | .259 | .118 | .00219 |
| 10...
Any reason not to use '+' to concatenate two strings?
...;> print "%.2f usec/pass" % (1000000 * t2.timeit(number=100000)/100000)
2.61 usec/pass
>>>
They have almost the same runtime.
Lets use cProfile
>>> myl=myl2
>>> cProfile.run("UsePlus()")
5 function calls in 0.001 CPU seconds
Ordered by: standard name
...
best way to preserve numpy arrays on disk
...$ python bench/store-blpk.py
store time = 3.36 (68.04 MB/s)
loading time = 2.61 (87.80 MB/s)
is clearly bottlenecked by the disk performance.
share
|
improve this answer
|
...
Return multiple columns from pandas apply()
...s, best of 3: 1.43 ms per loop
Return Series:
100 loops, best of 3: 2.61 ms per loop
Return tuple:
1000 loops, best of 3: 819 µs per loop
share
|
improve this answer
|
...