On 6/21/07, David M. Cooke <[EMAIL PROTECTED]> wrote: > On Jun 20, 2007, at 04:35 , Torgil Svensson wrote: > > > Hi > > > > Is there a reason for numpy.float not to convert it's own string > > representation correctly? > > numpy.float is the Python float type, so there's nothing we can do. I > am working on adding NaN and Inf support for numpy dtypes, though, so > that, for instance, numpy.float64('-1.#IND') would work as expected. > I'll put it higher on my priority list :-)
Great news. Thanks! //Torgil > > > Python 2.5.1 (r251:54863, Apr 18 2007, 08:51:08) [MSC v.1310 32 bit > > (Intel)] on win32>>> import numpy > >>>> numpy.__version__ > > '1.0.3' > >>>> numpy.float("1.0") > > 1.0 > >>>> numpy.nan > > -1.#IND > >>>> numpy.float("-1.#IND") > > Traceback (most recent call last): > > File "<pyshell#20>", line 1, in <module> > > numpy.float("-1.#IND") > > ValueError: invalid literal for float(): -1.#IND > >>>> > > > > Also, nan and -nan are represented differently for different float to > > string conversion methods. I guess the added zeros are a bug > > somewhere. > >>>> str(nan) > > '-1.#IND' > >>>> "%f" % nan > > '-1.#IND00' > >>>> str(-nan) > > '1.#QNAN' > >>>> "%f" % -nan > > '1.#QNAN0' > > > > This is a problem when floats are stored in text-files that are later > > read to be numerically processed. For now I use the following to > > convert the number. > > > > special_numbers=dict([('-1.#INF',-inf),('1.#INF',inf), > > ('-1.#IND',nan),('-1.#IND00',nan), > > ('1.#QNAN',-nan),('1.#QNAN0',-nan)]) > > def string_to_number(x): > > if x in special_numbers: > > return special_numbers[x] > > return float(x) if ("." in x) or ("e" in x) else int(x) > > > > Is there a simpler way that I missed? > > > > Best Regards, > > > > //Torgil > > _______________________________________________ > > Numpy-discussion mailing list > > Numpy-discussion@scipy.org > > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > > > -- > |>|\/|< > /------------------------------------------------------------------\ > |David M. Cooke http://arbutus.physics.mcmaster.ca/dmc/ > |[EMAIL PROTECTED] > > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion