我有一个.txt文件,内容为:
Areca Palm
2018-11-03 18:21:26
Tropical/sub-Tropical plant
Leathery leaves, mid to dark green
Moist and well-draining soil
Semi-shade/full shade light requirements
Water only when top 2 inches of soil is dry
Intolerant to root rot
Propagate by cuttings in water
Canary Date Palm
2018-11-05 10:12:15
Semi-shade, full sun
Dark green leathery leaves
Like lots of water,but soil cannot be water-logged
Like to be root bound in pot
我想将这些.txt文件转换为python词典,并且输出应如下所示:
d = {'Areca Palm': ('2018-11-03 18:21:26', 'Tropical/sub-Tropical plant', 'Leathery leaves, mid to dark green', 'Moist and well-draining soil'..etc 'Canary Date Palm': ('2018-11-05 10:12:15', 'Semi-shade, full sun'...)
我该怎么做?
答案 0 :(得分:0)
以下代码显示了一种执行此操作的方法,即使用非常简单的两种状态机读取文件:
with open("data.in") as inFile:
# Initialise dictionary and simple state machine.
afterBlank = True
myDict = {}
# Process each line in turn.
for line in inFile.readlines():
line = line.strip()
if afterBlank:
# First non-blank after blank (or at file start) is key
# (blanks after blanks are ignored).
if line != "":
key = line
myDict[key] = []
afterBlank = False
else:
# Subsequent non-blanks are additional lines for key
# (blank after non-blank switches state).
if line != "":
myDict[key].append(line)
else:
afterBlank = True
# Dictionary holds lists, make into tuples if desired.
for key in myDict.keys():
myDict[key] = tuple(myDict[key])
import pprint
pprint.pprint(myDict)
使用输入数据可以得到输出(与标准Python pprint
相比,print
的输出更具可读性)
{'Areca Palm': ('2018-11-03 18:21:26',
'Tropical/sub-Tropical plant',
'Leathery leaves, mid to dark green',
'Moist and well-draining soil',
'Semi-shade/full shade light requirements',
'Water only when top 2 inches of soil is dry',
'Intolerant to root rot',
'Propagate by cuttings in water'),
'Canary Date Palm': ('2018-11-05 10:12:15',
'Semi-shade, full sun',
'Dark green leathery leaves',
'Like lots of water,but soil cannot be water-logged',
'Like to be root bound in pot')}
答案 1 :(得分:0)
通过编写函数可以大大简化许多解析问题 处理文件并一次产生一行有意义的行。 通常,这部分所需的逻辑非常简单。和 它保持简单,因为该功能与其他功能无关 有关较大问题的详细信息。
然后,该步骤简化了下游代码,该代码侧重于解构 一次一个有意义的部分。这部分可以忽略较大的文件问题-同样 保持简单。
说明:
import sys
def get_paragraphs(path):
par = []
with open(path) as fh: # The basic pattern tends to repeat:
for line in fh:
line = line.rstrip()
if line: # Store lines you want.
par.append(line)
elif par: # Yield prior batch.
yield par
par = []
if par: # Don't forget the last one.
yield par
path = sys.argv[1]
d = {
p[0] : tuple(p[1:])
for p in get_paragraphs(path)
}