Python 2.7解析数据

Question

I have data that look like this:

data = 'somekey:value4thekey&second-key:valu3-can.be?anything&third_k3y:it%can have spaces;too'

In a nice human-readable way it would look like this:

somekey    : value4thekey
second-key : valu3-can.be?anything
third_k3y  : it%can have spaces;too

How should I parse the data so when I do data['somekey'] I would get >>> value4thekey ?

Note: The & is connecting all of the different items

How am I currently tackling with it

Currently, I use this ugly solution:

all = data.split('&')
for i in all:
    if i.startswith('somekey'):
        print i

This solution is very bad due to multiple obvious limitations. It would be much better if I can somehow parse it into a python tree object.

Answer 1

I'd split the string by & to get a list of key-value strings, and then split each such string by : to get key-value pairs. Using dict and list comprehensions actually makes this quite elegant:

result = {k:v for k, v in (part.split(':') for part in data.split('&'))}

Answer 2

You can parse your data directly to a dictionary - split on the item separator & then split again on the key,value separator : :

table = {
    key: value for key, value in 
    (item.split(':') for item in data.split('&'))
}

This allows you direct access to elements, eg as table['somekey'] .

Answer 3

If you don't have objects within a value, you can parse it to a dictionary

structure = {}

for ele in data.split('&'):
    ele_split = ele.split(':')
    structure[ele_split[0]] = ele_split[1]

You can now use structure to get the values:

print structure["somekey"]
#returns "value4thekey"

Answer 4

Since the keys have a common format of being in the form of "key":"value". You can use it as a parameter to split on.

for i in x.split("&"):
      print(i.split(":"))

This would generate an array of even items where every even index is the key and odd index being the value. Iterate through the array and load it into a dictionary. You should be good!

Answer 5

I'd format data to YAML and parse the YAML

import re
import yaml

data = 'somekey:value4thekey&second-key:valu3-can.be?anything&third_k3y:it%can have spaces;too'
yaml_data = re.sub('[:]', ': ', re.sub('[&]', '\n', data ))
y = yaml.load(yaml_data)
for k in y:
        print "%s : %s" % (k,y[k])

Here's the output:

third_k3y : it%can have spaces;too
somekey : value4thekey
second-key : valu3-can.be?anything