On Sat, May 9, 2009 at 8:35 PM, Evan Mason <evanma...@gmail.com> wrote:
> Hi, I want to use mlab.load to load in some data:
>
>
> 1) 2004/02/27 21:51:00 1 2553.51 2553.51
> -99.0000N 3.217
> 2) 2004/02/27 22:01:00 2 2553.47 2553.47
> -99.0000N 3.217
> 3) 2004/02/27 22:10:59 3 2553.45 2553.45
> -99.0000N 3.218
> 4) 2004/02/27 22:20:59 4 2553.46 2553.46
> -99.0000N 3.223
>
>
> unfortunately missing values are given as -99.000N, and these cause the
> following error:
>
>
> In [98]: mlab.load(site_file,skiprows=29,usecols=[4])
> ---------------------------------------------------------------------------
> ValueError Traceback (most recent call last)
>
> /Users/evan/python/tools/fig_NEA_seas_paper_RAPID.py in <module>()
> ----> 1
> 2
> 3
> 4
> 5
>
> /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/matplotlib/mlab.pyc
> in load(fname, comments, delimiter, converters, skiprows, usecols, unpack,
> dtype)
> 1458 if usecols is not None:
> 1459 vals = splitfunc(line)
> -> 1460 row = [converterseq[j](vals[j]) for j in usecols]
> 1461 else:
> 1462 row = [converterseq[j](val)
>
> ValueError: invalid literal for float(): -99.00N
>
>
> Is there any way around this, apart from editing all the data files to
> remove every 'N'?
Make use of the converters argument:
mlab.load(..., converters={5:fix_func})
Where fix_func is a function that will convert the -99.0000N values to what
you're looking for.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
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