blocks|key|3952554|text|如果你只是想测试age，你可以搜索这个字符串。如果除了检查年龄之外，你还想用它做其他事情，你可以把它分成一个字典。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3952555|message+=+'name="Raj",lastname="Paul",gender="male",+age=23'
pairs+=+[pair.replace('"',+'').strip()+for+pair+in+message.split(',')]
d+=+dict([p.split('=')+for+p+in+pairs])

'age'+in+d+#+True
d['name']+#+'Raj'|code-block|syntax|javascript|3952556|entityMap^0|8|3|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

If you just want to test for <code>age</code> you can search the string. If you want to use this for other things in addtion to checking the age, you can split it up into a dictionary. 

<pre><code>message = 'name="Raj",lastname="Paul",gender="male", age=23'
pairs = [pair.replace('"', '').strip() for pair in message.split(',')]
d = dict([p.split('=') for p in pairs])

'age' in d # True
d['name'] # 'Raj'
</code></pre>

blocks|key|3952615|text|您可以做的一件事是使用正则表达式并提取单独的部分。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3952616|例如，假设您的消息是message+=+'name="Raj",lastname="Paul",gender="male",+age=23'，您可以将正则表达式设置为(?P<var>.*?)=(?P<out>.*?),|offset|length|style|CODE|3952617|以下是我会做的事情：|3952618|import+re
message+=+'name="Raj",lastname="Paul",gender="male",+age=23'
message+%2B=+','+#+Add+a+comma+for+the+regex
findall+=+re.findall(r'(?P<var>.*?)=(?P<out>.*?),',+message)+#+Note+the+additional+comma
extracted+=+{k.strip():+v.strip()+for+k,v+in+findall}
if+'age'+in+extracted:
++++print(extracted['age'])+#+prints+23|code-block|syntax|javascript|3952619|然后提取出如下所示的地图：{'name':+'"Raj"',+'lastname':+'"Paul"',+'gender':+'"male"',+'age':+'23'}。如果你真的想把age转换成int，你可以去掉双引号。|3952620|要获取所有字段，您可以执行以下操作：|3952621|for+field+in+extracted:
++++print(field,+extracted[field])

#+Prints
name+"Raj"
lastname+"Paul"
gender+"male"
age+23|3952622|entityMap^0|0|A|1O|2B|Q|0|0|0|D|20|0|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|X|8|@$D|Y|E|Z|F|G]|$D|10|E|11|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|12|8|@]|9|@]|A|$]]|$1|J|3|K|5|L|7|13|8|@]|9|@]|A|$M|N]]|$1|O|3|P|5|6|7|14|8|@$D|15|E|16|F|G]]|9|@]|A|$]]|$1|Q|3|R|5|6|7|17|8|@]|9|@]|A|$]]|$1|S|3|T|5|L|7|18|8|@]|9|@]|A|$M|N]]|$1|U|3|-4|5|6|7|19|8|@]|9|@]|A|$]]]|V|$]]

One thing you can do is use a regular expression and extract individual portions.

For instance, assume your message is <code>message = 'name="Raj",lastname="Paul",gender="male", age=23'</code>, you can make your regular expression <code>(?P&lt;var&gt;.*?)=(?P&lt;out&gt;.*?),</code>

Here is what I would do:

<pre><code>import re
message = 'name="Raj",lastname="Paul",gender="male", age=23'
message += ',' # Add a comma for the regex
findall = re.findall(r'(?P&lt;var&gt;.*?)=(?P&lt;out&gt;.*?),', message) # Note the additional comma
extracted = {k.strip(): v.strip() for k,v in findall}
if 'age' in extracted:
 print(extracted['age']) # prints 23
</code></pre>

extracted then would be a map that looks like this: <code>{'name': '"Raj"', 'lastname': '"Paul"', 'gender': '"male"', 'age': '23'}</code>. You can get rid of the double quotes if you really want and convert age to an int from there.

To get all the fields present you could do:

<pre><code>for field in extracted:
 print(field, extracted[field])

# Prints
name "Raj"
lastname "Paul"
gender "male"
age 23
</code></pre>

blocks|key|3952764|text|这是另一种可能性：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3952765|message1+=+'name="Raj",lastname="Paul",gender="male",+age=23'

message2+=+'name="Raj",lastname="Paul",age=23'

message3+=+'name="Raj",lastname="Paul",gender="male"'

messages+=+[message1,+message2,+message3]

splits+=+[m.split(",")+for+m+in+messages]

def+flatten(lst):
++++temp+=+[]
++++for+l+in+lst:
++++++++val1,+val2+=+l.split("=")
++++++++val1+=+val1.strip()
++++++++val2+=+val2.strip()
++++++++temp.append(val1)
++++++++temp.append(val2)
++++return+temp

clean+=+list(map(lambda+x:+flatten(x),+splits))

final+=+[x+for+x+in+clean+if+'age'+in+x]

final|code-block|syntax|javascript|3952766|这将保留那些包含'age‘的消息|3952767|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

This is another possibility:

<pre><code>message1 = 'name="Raj",lastname="Paul",gender="male", age=23'

message2 = 'name="Raj",lastname="Paul",age=23'

message3 = 'name="Raj",lastname="Paul",gender="male"'

messages = [message1, message2, message3]

splits = [m.split(",") for m in messages]

def flatten(lst):
 temp = []
 for l in lst:
 val1, val2 = l.split("=")
 val1 = val1.strip()
 val2 = val2.strip()
 temp.append(val1)
 temp.append(val2)
 return temp

clean = list(map(lambda x: flatten(x), splits))

final = [x for x in clean if 'age' in x]

final
</code></pre>

This would keep those messages that contain 'age'

blocks|key|3952814|text|message+=+'name="Raj",lastname="Paul",gender="male",+age=23'

new_msg+=+message.replace('"',+'').replace('+',+'').split(',')++#+2nd+replace+to+delete+the+extra+space+before+age

msg_dict+=+dict([x.split('=')+for+x+in+new_msg])

print(msg_dict)|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|3952815|此代码将以下输出作为字典返回。您可以遍历每条消息，它会将正确的属性与正确的键放在一起。|unstyled|3952816|{'name':+'Raj',+'lastname':+'Paul',+'gender':+'male',+'age':+'23'}|3952817|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|L|8|@]|9|@]|A|$]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$B|C]]|$1|I|3|-4|5|F|7|N|8|@]|9|@]|A|$]]]|J|$]]

<pre><code>message = 'name="Raj",lastname="Paul",gender="male", age=23'

new_msg = message.replace('"', '').replace(' ', '').split(',') # 2nd replace to delete the extra space before age

msg_dict = dict([x.split('=') for x in new_msg])

print(msg_dict)
</code></pre>

This code returns the following output as a dictionary. You can loop through each message and it will put the right attribute with the right key.

<pre><code>{'name': 'Raj', 'lastname': 'Paul', 'gender': 'male', 'age': '23'}
</code></pre>

Working on a bot application, so I need to extract the values from the message string and pass it to a variable. The message string can be in different ways like :

<pre><code>message = 'name="Raj",lastname="Paul",gender="male", age=23'
message = 'name="Raj",lastname="Paul",age=23'
message = 'name="Raj",lastname="Paul",gender="male"'
</code></pre>

The data user provided can contain all values, or sometimes age or gender field will be missing.

Where I am stuck is , <code>I am not sure how to check if age is present in the message text. If it is then extract value corresponding to age. If age is not in message, ignore age.</code> 

It is possible to check each one word in a loop and extract the string, but it becomes quite lengthy. Please let me know if there is more easier ways

Like 

<pre><code>if Age is present in message then get the value of age,
if lastname is present in message then get the value of lastname
if gender is present in message then get the value of gender
if name is present in message then get the value of name
</code></pre>

extracting values from a string Python

处理机器人应用程序，所以我需要从消息字符串中提取值，并将其传递给一个变量。消息字符串可以采用不同的方式，例如：message = 'name="Raj",lastname="Paul",gender="male", age=23'message = 'name="Raj",lastname="Paul",age=23'...

问从字符串Python中提取值
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