使用python或python pandas将多行读取为单行

Question

I have a data like this:

MP|3561042|||WQTI544|BEA148|16077: POWER     ID|7817|I|103306|||D|1
MP|3561042|||WQTI544|BEA148|16011: BINGHAM   ID|45607|I|103306|||D|1
MP|3561042|||WQTI544|BEA148|16005: BANNOCK   ID|82839|I|103306|||D|1
MP|3561250|||WQTI576        
|BEA135|48301: LOVING    TX|82|I|103308|||D|1
MP|3561250|||WQTI576        
|BEA135|48443: TERRELL   TX|984|I|103308|||D|1
MP|3561250|||WQTI576        
|BEA135|48173: GLASSCOCK     TX|1226|I|103308|||D|1

How do i achieve this:

MP|3561042|||WQTI544|BEA148|16077: POWER     ID|7817|I|103306|||D|1
MP|3561042|||WQTI544|BEA148|16011: BINGHAM   ID|45607|I|103306|||D|1
MP|3561042|||WQTI544|BEA148|16005: BANNOCK   ID|82839|I|103306|||D|1
MP|3561250|||WQTI575|BEA135|48301: LOVING    TX|82|I|103308|||D|1
MP|3561250|||WQTI576|BEA135|48443: TERRELL   TX|984|I|103308|||D|1
MP|3561250|||WQTI576|BEA135|48173: GLASSCOCK TX|1226|I|103308|||D|1

I tried this:

f=open('C:/Users/user/Desktop/a.csv','r')
lines=f.readlines()
mystr = '|'.join([line.strip() for line in lines])
print(mystr)
MP|3561042|||WQTI544|BEA148|16077: POWER, 
ID|7817|I|103306|||D|1|MP|3561042|||WQTI544|BEA148|16011: BINGHAM, 
ID|45607|I|103306|||D|1|MP|3561042|||WQTI544|BEA148|16005: BANNOCK, 
ID|82839|I|103306|||D|1|MP|3561250|||WQTI576|||BEA135|48301: LOVING, 
TX|82|I|103308|||D|1|MP|3561250|||WQTI576|||BEA135|48443: TERRELL, 
TX|984|I|103308|||D|1|MP|3561250|||WQTI576|||BEA135|48173: GLASSCOCK, 
TX|1226|I|103308|||D|1|MP|3561250|||WQTI576|

I am not achieving the way i want, any help please? The first column always had a data of MP, and each row has 13 pipes as delimiters.

Edited:

How to do the same thing with the finding 'MP' instead of 'D|1', below is what i tried, but not giving the right thing cuz there are some rows that doesn't have the 'D|1' and has 'U|1234' something like that at the end

content = ([l.strip().decode('utf-8') for l in s1 if l.strip()])

for line in content:
    find_START = line.find('MP')   # check if line has D|1
    if find_START ==0:
       tmp += line
       res.append(tmp)
       tmp = ''
    else:
     tmp += line

for r in res:
    print(r)

Its printing as below:

MP|3561042|||WQTI544|BEA148|16011: BINGHAM, ID|45607|I|103306|||D|1
MP|3561042|||WQTI544|BEA148|16005: BANNOCK, ID|82839|I|103306|||D|1
MP|3561250|||WQTI576
|BEA135|48301: LOVING, TX|82|I|103308|||D|1MP|3561250|||WQTI576
|BEA135|48443: TERRELL, TX|984|I|103308|||D|1MP|3561250|||WQTI576
|BEA135|48173: GLASSCOCK, TX|1226|I|103308|||D|1MP|3561250|||WQTI576

Answer 1

logFile :

MP|3561042|||WQTI544|BEA148|16077: POWER     ID|7817|I|103306|||D|1
MP|3561042|||WQTI544|BEA148|16011: BINGHAM   ID|45607|I|103306|||D|1
MP|3561042|||WQTI544|BEA148|16005: BANNOCK   ID|82839|I|103306|||D|1
MP|3561250|||WQTI576        
|BEA135|48301: LOVING    TX|82|I|103308|||D|1
MP|3561250|||WQTI576        
|BEA135|48443: TERRELL   TX|984|I|103308|||D|1
MP|3561250|||WQTI576        
|BEA135|48173: GLASSCOCK     TX|1226|I|103308|||D|1

Hence :

res = []             # empty list to store the results
tmp = ''             # empty string for unindented lines
with open(logFile) as f:
    content = f.readlines()

# you may also want to remove empty lines
content = [l.strip() for l in content if l.strip()]

for line in content:
    find_END = line.find('D|1')    # check if line has D|1
    if find_END > 0:
       tmp += line
       res.append(tmp)
       tmp = ''
    else:
     tmp += line

for r in res: print(r)

OUTPUT :

MP|3561042|||WQTI544|BEA148|16077: POWER     ID|7817|I|103306|||D|1
MP|3561042|||WQTI544|BEA148|16011: BINGHAM   ID|45607|I|103306|||D|1
MP|3561042|||WQTI544|BEA148|16005: BANNOCK   ID|82839|I|103306|||D|1
MP|3561250|||WQTI576|BEA135|48301: LOVING    TX|82|I|103308|||D|1
MP|3561250|||WQTI576|BEA135|48443: TERRELL   TX|984|I|103308|||D|1
MP|3561250|||WQTI576|BEA135|48173: GLASSCOCK     TX|1226|I|103308|||D|1