下面是完整的示例：import subprocess

import re

p = subprocess.Popen("df -h", stdout=subprocess.PIPE, shell=True)

dfdata, _ = p.communicate()

dfdata = dfdata.replace("Mounted on", "Mounted_on")

columns = [list() for i in range(10)]

for line in dfdata.split("\n"):

line = re.sub(" +", " ", line)

for i,l in enumerate(line.split(" ")):

columns[i].append(l)

print columns[0]

它假定裝入點不包含空格。

下面是一個更完整（更復雜）的解決方案，它不需要硬核數列：import subprocess

import re

def yield_lines(data):

for line in data.split("\n"):

yield line

def line_to_list(line):

return re.sub(" +", " ", line).split()

p = subprocess.Popen("df -h", stdout=subprocess.PIPE, shell=True)

dfdata, _ = p.communicate()

dfdata = dfdata.replace("Mounted on", "Mounted_on")

lines = yield_lines(dfdata)

headers = line_to_list(lines.next())

columns = [list() for i in range(len(headers))]

for i,h in enumerate(headers):

columns[i].append(h)

for line in lines:

for i,l in enumerate(line_to_list(line)):

columns[i].append(l)

print columns[0]

總結

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