# converting text written in 1/8th format to numbers.

I have text which has numbers in this format
"SEP15    1032'0    1040'6    1022'4    1029'0    1031'4    -1'2        9290     1032'6       13361       27522"
the  numbers represent fractions in 8th , i.e  1040'6  is actually means 1040 6/8 , which is 1040.75 , and -1'2  is  -1.25
I am having difficulty in writing a function for  converting this before I put them in a pandas dataframe.
###### Who is Participating?

x
I wear a lot of hats...

"The solutions and answers provided on Experts Exchange have been extremely helpful to me over the last few years. I wear a lot of hats - Developer, Database Administrator, Help Desk, etc., so I know a lot of things but not a lot about one thing. Experts Exchange gives me answers from people who do know a lot about one thing, in a easy to use platform." -Todd S.

Commented:
You can use a function based regular expression substitution:

re.sub(r"(\d+)'(\d+)", lambda m: str(float(m.group(1)) + (float(m.group(2))/8.0)), i)

``````>>> import re
>>> data = "SEP15    1032'0    1040'6    1022'4    1029'0    1031'4    -1'2   9290     1032'6       13361       27522"
>>> elements = [ re.sub(r"(\d+)'(\d+)", lambda m: str(float(m.group(1)) + (float(m.group(2))/8.0)), i) for i in re.split(r"\s+",data)]
>>> elements
['SEP15', '1032.0', '1040.75', '1022.5', '1029.0', '1031.5', '-1.25', '9290', '1032.75', '13361', '27522']
>>>
``````

Experts Exchange Solution brought to you by

Facing a tech roadblock? Get the help and guidance you need from experienced professionals who care. Ask your question anytime, anywhere, with no hassle.

Senior QA ManagerCommented:
No comment has been added to this question in more than 21 days, so it is now classified as abandoned.

I have recommended this question be closed as follows:

Accept: clockwatcher (https:#a40878411)

If you feel this question should be closed differently, post an objection and the moderators will review all objections and close it as they feel fit. If no one objects, this question will be closed automatically the way described above.