8
$\begingroup$

I work with CSV files containing 10-minute data of temperatures of some years of a station, and I usually perform some calculations: mean, average, correlations between two stations, correlations in different seasons, correlations day/night, ...

I program this calculations by using plain Python or Microsoft Excel VBA, by using loops and simple calculations. It's not very hard to code, but I wonder if there is a Python library or any other programming environment which helps me to save time and lines of code.

I've heard about ScyPy and R, and I would be very grateful if you could share any experience with these tools.

Improve this question
$\endgroup$

2 Answers 2

Reset to default
12
$\begingroup$

Both Python and R are excellent choices for this type of work.

If you are already using Python, then the easiest option might be to start using Numerical Python (NumPy). The tutorial provides a basic introduction. For further pointers, see the top answer to numpy: learning resources.

If you are interested in learning R, the following thread provides lots of pointers: Books for learning the R language.

Improve this answer
$\endgroup$
1
  • 3
    $\begingroup$ Check out the Pandas library if you go with Python. $\endgroup$
    – Drew
    Jun 10, 2012 at 21:13
5
$\begingroup$

If you wind up using R, check out the FDA package. It will help you turn those repeat observations into functional data (i.e. smooth curves), opening up a variety of interesting modes of analysis.

http://cran.r-project.org/web/packages/fda/index.html

http://en.wikipedia.org/wiki/Functional_data_analysis

Improve this answer
$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.

Not the answer you're looking for? Browse other questions tagged or ask your own question.