it appears to be a masked array, but a "customized" one, that's being created
from the interface to the external program Im working with (application named
GrADS). here's some more info...
[7] ga-> Z?
Type: GaField
Base Class:
String Form:
[[0.0 0.0 0.0 ..., 0.0 0.0 0.0]
[0.0 0.0 0.0 ..., 0.0 0.0 0.0]
[0.0 0.0 0.0 ..., 0.0 0.0 0.0]
1.97999989986 ..., 0.924000024796
1.41899991035 1.58399999142]
[0.0 0.0 0.0 ..., 0.0 0.0 0.0]]
Namespace: Interactive
Length: 311
File: /usr/lib/python2.5/site-packages/grads/numtypes.py
Docstring:
This is GraDS version of a n-dimensional array: a masked array with
a *grid* containing coordinate/dimension information attached to it.
As a MaskedArray, GaField objects may possibly have masked values.
Masked values of 1 exclude the corresponding element from any
computation.
Construction:
x = GaField (data, name=None, Grid=None,
dtype=None, copy=True, order=False,
mask = nomask, fill_value=None)
If copy=False, every effort is made not to copy the data:
If data is a MaskedArray, and argument mask=nomask,
then the candidate data is data.data and the
mask used is data.mask. If data is a numeric array,
it is used as the candidate raw data.
If dtype is not None and
is != data.dtype.char then a data copy is required.
Otherwise, the candidate is used.
If a data copy is required, raw data stored is the result of:
numeric.array(data, dtype=dtype.char, copy=copy)
If mask is nomask there are no masked values. Otherwise mask must
be convertible to an array of booleans with the same shape as x.
fill_value is used to fill in masked values when necessary,
such as when printing and in method/function filled().
The fill_value is not used for computation within this module.
[8] ga-> Z.mask
Out[8]:
array([[False, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False],
...,
[False, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False]], dtype=bool)
[12] ga-> np.linalg.norm([Z[0,0], Z[0,-1], Z[-1,0], Z[-1,-1]])
Out[12]: 0.0
what other info should I provide?
Pablo
----------------------------------------
> Date: Sun, 15 Mar 2009 17:38:32 -1000
> From: efir...@hawaii.edu
> Subject: Re: [Matplotlib-users] FW: basemap.contourf, colormap,
> extend='none', & levels array question
> To: romero...@hotmail.com
> CC: matplotlib-users@lists.sourceforge.net
>
>
>>
>> What is the result from typing
>>
>> type(Z)
>> norm([Z[-1,0]])
>
> Actually, I don't know how your data are arranged, so try all 4 corners:
>
> norm([Z[0,0], Z[0,-1], Z[-1,0], Z[-1,-1]])
>
> Eric
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