So when I add "np.logical_or" to the beginning of the script it makes no
difference to the error message that I receive.
I have tried reshaping the array but I receive an error message of:
Traceback (most recent call last):
File "<pyshell#0>", line 1, in <module>
f.reshape(691,886)
ValueError: total size of new array must be unchanged
Is there a way to use np.genfromtxt and define the rows and columns on
import?
Thanks
On Fri, Mar 16, 2012 at 7:10 AM, Goyo <goyod...@gmail.com> wrote:
> El día 15 de marzo de 2012 05:14, questions anon
> <questions.a...@gmail.com> escribió:
> > I think my error is from the np.genfromtxt because I just checked the
> size
> > of my data and it appears in 1D rather than 2D.
>
> This is unsurprising since your file has just one row of data. I
> overlooked that because the weird error message drove all my attention
> to it. You can reshape the resulting array to (691, 886). Still that
> error message should not be there in any case.
>
> >> I don't really understand what np.logical_or is or how to use it?
> >> I have tried just calling it at the beginning of the script
>
> np.logical_or computes the logical out of two boolean arrays. It's
> called internally by countourf and that's triggering the exception:
>
> AttributeError: logical_or
>
> Which makes no sense at all because:
> 1. np is expected to be an alias for numpy and numpy *does* have an
> attribute called logical_or.
> 2. In case np didn't have an attribute called logical_or (for whatever
> reason) it would cause an exception but the error message should be
> something like "AttributeError: 'module' object has no attribute
> 'logical_or'".
>
> You where asked to call np.logical_or at the beginning of the script
> in order to know if it triggers the exception in that context.
>
> >> [...] but I still end up with the same error.
>
> So the call at the beginning didn't trigger the error?
>
> Regards
>
> Goyo
>
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