On Wednesday 14 May 2008 13:19:55 Eric Firing wrote:
> Pierre GM wrote:
> > (almost) equivalent [1]:
> mydata._data
> mydata.view(np.ndarray)
>
> Shouldn't the former be discouraged, on the grounds that a leading
> underscore, by Python convention, indicates an attribute that is not
> par
Pierre GM wrote:
[...]
>
> * If you want to access the underlying data directly, these two commands are
> (almost) equivalent [1]:
mydata._data
mydata.view(np.ndarray)
Shouldn't the former be discouraged, on the grounds that a leading
underscore, by Python convention, indicates an att
On Wednesday 14 May 2008 02:18:06 Christopher Burns wrote:
> I'm finding it difficult to tell which methods/operations respect the
> mask and which do not, in masked arrays.
Christopher,
Unfortunately, there's no tutorial yet. Perhaps could you get one started on
the scipy wiki ? I'm afraid I wo
I'm finding it difficult to tell which methods/operations respect the
mask and which do not, in masked arrays.
mydata.filled returns a copy of the data (in a numpy array) with all
masked elements set to the fill_value. So, masked respected, but data
returned as a new data-type when what I wanted
