我出于好奇,计时了一下。以下是非常大文件的结果。
简而言之,对于大文件,读取文件后再分割似乎是最快的方法。
with open(FILENAME, "r") as file:
lines = file.read().split("\n")
然而,如果您需要循环遍历这些行,则可能需要:
with open(FILENAME, "r") as file:
for line in file:
line = line.rstrip("\n")
Python 3.4.2
import timeit
FILENAME = "mylargefile.csv"
DELIMITER = "\n"
def splitlines_read():
"""Read the file then split the lines from the splitlines builtin method.
Returns:
lines (list): List of file lines.
"""
with open(FILENAME, "r") as file:
lines = file.read().splitlines()
return lines
def split_read():
"""Read the file then split the lines.
This method will return empty strings for blank lines (Same as the other methods).
This method may also have an extra additional element as an empty string (compared to
splitlines_read).
Returns:
lines (list): List of file lines.
"""
with open(FILENAME, "r") as file:
lines = file.read().split(DELIMITER)
return lines
def strip_read():
"""Loop through the file and create a new list of lines and removes any "\n" by rstrip
Returns:
lines (list): List of file lines.
"""
with open(FILENAME, "r") as file:
lines = [line.rstrip(DELIMITER) for line in file]
return lines
def strip_readlines():
"""Loop through the file's read lines and create a new list of lines and removes any "\n" by
rstrip. ... will probably be slower than the strip_read, but might as well test everything.
Returns:
lines (list): List of file lines.
"""
with open(FILENAME, "r") as file:
lines = [line.rstrip(DELIMITER) for line in file.readlines()]
return lines
def compare_times():
run = 100
splitlines_t = timeit.timeit(splitlines_read, number=run)
print("Splitlines Read:", splitlines_t)
split_t = timeit.timeit(split_read, number=run)
print("Split Read:", split_t)
strip_t = timeit.timeit(strip_read, number=run)
print("Strip Read:", strip_t)
striplines_t = timeit.timeit(strip_readlines, number=run)
print("Strip Readlines:", striplines_t)
def compare_values():
"""Compare the values of the file.
Note: split_read fails, because has an extra empty string in the list of lines. That's the only
reason why it fails.
"""
splr = splitlines_read()
sprl = split_read()
strr = strip_read()
strl = strip_readlines()
print("splitlines_read")
print(repr(splr[:10]))
print("split_read", splr == sprl)
print(repr(sprl[:10]))
print("strip_read", splr == strr)
print(repr(strr[:10]))
print("strip_readline", splr == strl)
print(repr(strl[:10]))
if __name__ == "__main__":
compare_values()
compare_times()
结果:
run = 1000
Splitlines Read: 201.02846901328783
Split Read: 137.51448011841822
Strip Read: 156.18040391519133
Strip Readline: 172.12281272950372
run = 100
Splitlines Read: 19.956802833188124
Split Read: 13.657361738959867
Strip Read: 15.731161020969516
Strip Readlines: 17.434831199281092
run = 100
Splitlines Read: 20.01516321280158
Split Read: 13.786344555543899
Strip Read: 16.02410587620824
Strip Readlines: 17.09326775703279
在大文件处理中,读取文件后进行分割似乎是最快的方法。
注意:使用read然后split("\n")会在列表末尾有一个额外的空字符串。
注意:使用read然后splitlines()会检查更多的内容,可能包括"\r\n"。
count.__len__()
,而是使用len(count)
! - Ferdinand Beyer'\n'
字符,但实际上更普遍的问题是读取文件中不带行尾的一行内容。几乎所有的回答都没有解决这个问题(Daniel F. 的回答似乎有所涉及)。 - brianmearns