如果您使用列表理解,您可能会获得一些速度
inetnums=[(int(x) for x in line.rstrip('\n').split('\t')) for line in fin]
这是两个不同版本的配置文件信息
>>> def foo2():
fin.seek(0)
inetnums=[]
for line in fin:
line = line.rstrip('\n')
mas = line.split('\t')
row = ( int(mas[0]), int(mas[1]), mas[2], mas[3])
inetnums.append(row)
>>> def foo1():
fin.seek(0)
inetnums=[[int(x) for x in line.rstrip('\n').split('\t')] for line in fin]
>>> cProfile.run("foo1()")
444 function calls in 0.004 CPU seconds
Ordered by: standard name
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.003 0.003 0.004 0.004 <pyshell#362>:1(foo1)
1 0.000 0.000 0.004 0.004 <string>:1(<module>)
1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects}
220 0.000 0.000 0.000 0.000 {method 'rstrip' of 'str' objects}
1 0.000 0.000 0.000 0.000 {method 'seek' of 'file' objects}
220 0.000 0.000 0.000 0.000 {method 'split' of 'str' objects}
>>> cProfile.run("foo2()")
664 function calls in 0.006 CPU seconds
Ordered by: standard name
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.005 0.005 0.006 0.006 <pyshell#360>:1(foo2)
1 0.000 0.000 0.006 0.006 <string>:1(<module>)
220 0.000 0.000 0.000 0.000 {method 'append' of 'list' objects}
1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects}
220 0.001 0.000 0.001 0.000 {method 'rstrip' of 'str' objects}
1 0.000 0.000 0.000 0.000 {method 'seek' of 'file' objects}
220 0.001 0.000 0.001 0.000 {method 'split' of 'str' objects}
>>>