I have text file, in below format and it has unique IDs and each unique IDs have four rows, now I need to convert into single row for particular ID. let say if have 8 rows and the output should give 2 rows. And it doesn't have header which I need do using pandas!
xyz,name,,,12345
2nd street,add,,,12345
xyx@mail.com,email,,,12345
575xxx5678,contact,,,12345
output
xyz,name,,,12345,2nd street,add,,,12345,xyx@mail.com,email,,,12345,575xxx5678,contact,,,12345
Consider unique ID as 12345, can help me to resolve this. It would be great. Thanks in Advance.
Suppose you have this file.csv
:
www,contact,,,99999
xyz,name,,,12345
2nd street,add,,,12345
xyx@mail.com,email,,,12345
575xxx5678,contact,,,12345
qqq,contact,,,99999
To read it to pandas:
df = pd.read_csv("file.csv", names=["col1", "col2", "col3", "col4", "ID"])
print(df)
Prints:
col1 col2 col3 col4 ID
0 www contact NaN NaN 99999
1 xyz name NaN NaN 12345
2 2nd street add NaN NaN 12345
3 xyx@mail.com email NaN NaN 12345
4 575xxx5678 contact NaN NaN 12345
5 qqq contact NaN NaN 99999
Then to convert it to your desired output:
x = (
df.assign(ID2=df["ID"])
.groupby("ID")
.agg(list)
.apply(lambda x: [v for l in zip(*x) for v in l], axis=1)
)
pd.DataFrame(x.tolist()).to_csv("output.txt", sep=",", header=None, index=None)
This creates output.txt
:
xyz,name,,,12345,2nd street,add,,,12345,xyx@mail.com,email,,,12345.0,575xxx5678,contact,,,12345.0
www,contact,,,99999,qqq,contact,,,99999,,,,,,,,,,
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.