[英]Time python scripts using IPython magic
How can I time the execution of a Python script using the iPython %time or %%timeit magic commands? 如何使用iPython%time或%% timeit magic命令计时执行Python脚本? For example, I have script.py and I'd like to know how long it takes to execute.
例如,我有script.py,我想知道执行需要多长时间。 Small nuance: script.py needs input parameter(s).
细微差别:script.py需要输入参数。 The below doesn't seem to work.
以下似乎不起作用。
%%time script.py input_param1 input_param2
Your can use: 你可以使用:
%%timeit
%run script.py input_param1 input_param2
beware that the script will be executed multiple times (the number is adaptive). 请注意脚本将被执行多次(数字是自适应的)。 To execute it only once (and have less accurate timing) change the first line to
要仅执行一次(并且定时不太准确),请将第一行更改为
%%timeit -n1 -r1
All the magic commands starting with %%
apply to the whole cell. 所有以
%%
开头的魔术命令都适用于整个单元格。 In particular %%timeit
will time all the lines in the cell. 特别是
%%timeit
将计时单元格中的所有行。
IPython allows to use magic commands (single %
) in any point of your code (ie loops, if-then). IPython允许在代码的任何一点使用魔术命令(单个
%
)(即循环,if-then)。 Here we just use the magic command %run
to run the script. 这里我们只使用magic命令
%run
来运行脚本。
See also: Magic functions from the official IPython docs. 另请参阅:官方IPython文档中的魔术功能 。
You can also try cProfile
which is a standard builtin Python profiler that is recommended for most users. 您还可以尝试
cProfile
,它是大多数用户推荐的标准内置Python分析器。
It gives both total running time in addition to the total run time of each function and the number of times each function was called. 除了每个函数的总运行时间和每个函数的调用次数之外,它还给出了总运行时间。
Here is an example of how to use it when running your script. 以下是运行脚本时如何使用它的示例。 The results are saved to a file named 'output_stats':
结果将保存到名为“output_stats”的文件中:
import cProfile
import pstats
cProfile.run(open('primes.py', 'rb'), 'output_stats')
p = pstats.Stats('output_stats')
p.sort_stats('cumulative').print_stats(10)
Thu May 14 09:26:09 2015 output_stats
369 function calls in 0.213 seconds
Ordered by: cumulative time
List reduced from 89 to 10 due to restriction <10>
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 0.213 0.213 primes.py:1(<module>)
1 0.019 0.019 0.213 0.213 primes.py:22(prime)
2 0.141 0.070 0.181 0.091 primes.py:1(primes)
3 0.041 0.014 0.041 0.014 {range}
4 0.000 0.000 0.013 0.003 /usr/local/miniconda/envs/dev/lib/python2.7/site-packages/IPython/kernel/zmq/iostream.py:207(write)
1 0.000 0.000 0.010 0.010 /usr/local/miniconda/envs/dev/lib/python2.7/site-packages/IPython/kernel/zmq/iostream.py:151(flush)
1 0.000 0.000 0.010 0.010 /usr/local/miniconda/envs/dev/lib/python2.7/site-packages/IPython/kernel/zmq/session.py:589(send)
1 0.000 0.000 0.009 0.009 /usr/local/miniconda/envs/dev/lib/python2.7/site-packages/IPython/kernel/zmq/session.py:530(serialize)
4 0.000 0.000 0.007 0.002 /usr/local/miniconda/envs/dev/lib/python2.7/site-packages/IPython/kernel/zmq/session.py:84(<lambda>)
4 0.000 0.000 0.007 0.002 /usr/local/miniconda/envs/dev/lib/python2.7/site-packages/zmq/utils/jsonapi.py:31(dumps)
=== ===
Example script file named primes.py: 示例名为primes.py的脚本文件:
def primes(n):
if n == 2:
return [2]
elif n < 2:
return []
s=range(3, n + 1, 2)
mroot = n ** 0.5
half=(n + 1) / 2 - 1
i = 0
m = 3
while m <= mroot:
if s[i]:
j = (m * m - 3) / 2
s[j] = 0
while j < half:
s[j] = 0
j += m
i = i + 1
m = 2 * i + 3
return [2] + [x for x in s if x]
def prime(a, b):
print(primes(a))
print(primes(b))
if __name__ == "__main__":
prime(10, 100)
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