我有一个Python命令行程序,需要一段时间才能完成。我想知道完成跑步所需的确切时间。
我看过timeit模块,但它似乎只适用于小代码片段。我想给整个节目计时。
我有一个Python命令行程序,需要一段时间才能完成。我想知道完成跑步所需的确切时间。
我看过timeit模块,但它似乎只适用于小代码片段。我想给整个节目计时。
当前回答
首先,以管理员身份打开命令提示符(CMD)并在那里键入,安装人性化的软件包-pip安装人性化
代码:
from humanfriendly import format_timespan
import time
begin_time = time.time()
# Put your code here
end_time = time.time() - begin_time
print("Total execution time: ", format_timespan(end_time))
输出:
其他回答
对于使用Jupyter笔记本的数据人员
在单元格中,可以使用Jupyter的%%time魔术命令来测量执行时间:
%%time
[ x**2 for x in range(10000)]
输出
CPU times: user 4.54 ms, sys: 0 ns, total: 4.54 ms
Wall time: 4.12 ms
这将仅捕获特定单元的执行时间。如果您想捕获整个笔记本(即程序)的执行时间,可以在同一目录中创建一个新笔记本,并在新笔记本中执行所有单元格:
假设上面的笔记本名为example_notebook.ipynb。在同一目录中的新笔记本中:
# Convert your notebook to a .py script:
!jupyter nbconvert --to script example_notebook.ipynb
# Run the example_notebook with -t flag for time
%run -t example_notebook
输出
IPython CPU timings (estimated):
User : 0.00 s.
System : 0.00 s.
Wall time: 0.00 s.
在Linux或Unix中:
$ time python yourprogram.py
在Windows中,请参阅StackOverflow问题:如何在Windows命令行上测量命令的执行时间?
对于更详细的输出,
$ time -v python yourprogram.py
Command being timed: "python3 yourprogram.py"
User time (seconds): 0.08
System time (seconds): 0.02
Percent of CPU this job got: 98%
Elapsed (wall clock) time (h:mm:ss or m:ss): 0:00.10
Average shared text size (kbytes): 0
Average unshared data size (kbytes): 0
Average stack size (kbytes): 0
Average total size (kbytes): 0
Maximum resident set size (kbytes): 9480
Average resident set size (kbytes): 0
Major (requiring I/O) page faults: 0
Minor (reclaiming a frame) page faults: 1114
Voluntary context switches: 0
Involuntary context switches: 22
Swaps: 0
File system inputs: 0
File system outputs: 0
Socket messages sent: 0
Socket messages received: 0
Signals delivered: 0
Page size (bytes): 4096
Exit status: 0
对于函数,我建议使用我创建的这个简单的修饰符。
def timeit(method):
def timed(*args, **kwargs):
ts = time.time()
result = method(*args, **kwargs)
te = time.time()
if 'log_time' in kwargs:
name = kwargs.get('log_name', method.__name__.upper())
kwargs['log_time'][name] = int((te - ts) * 1000)
else:
print('%r %2.22f ms' % (method.__name__, (te - ts) * 1000))
return result
return timed
@timeit
def foo():
do_some_work()
# foo()
# 'foo' 0.000953 ms
只需使用timeit模块。它同时适用于Python 2和Python 3。
import timeit
start = timeit.default_timer()
# All the program statements
stop = timeit.default_timer()
execution_time = stop - start
print("Program Executed in "+str(execution_time)) # It returns time in seconds
它在几秒钟内返回,您可以获得执行时间。这很简单,但您应该在启动程序执行的主函数中编写这些。如果您想获得执行时间,即使在出现错误时,也可以将参数“Start”设置为它,并在那里进行如下计算:
def sample_function(start,**kwargs):
try:
# Your statements
except:
# except statements run when your statements raise an exception
stop = timeit.default_timer()
execution_time = stop - start
print("Program executed in " + str(execution_time))
time.clock在Python 3.3中已被弃用,并将从Python 3.8中删除:请改用time.perf_counter或time.prrocess_time
import time
start_time = time.perf_counter ()
for x in range(1, 100):
print(x)
end_time = time.perf_counter ()
print(end_time - start_time, "seconds")