[GRASS-dev] Fwd: different region if looking using ctypes or g.region
Vaclav Petras
wenzeslaus at gmail.com
Thu Feb 27 14:44:02 PST 2014
Hi,
I'm glad you opened that topic. If you change region in C or using ctypes
in Python, it is affecting only the current process. While g.region
reads/writes the file with region but obviously will not change your
process region in Python (when using ctypes). And then there are the
temporary regions. To design an API for it is a challenge. I think I even
wrote something about it to documentation but it needs to be completely
rewritten to be actually readable.
Vaclav
On Thu, Feb 27, 2014 at 5:02 PM, Pietro <peter.zamb at gmail.com> wrote:
> Dear devs,
>
> I got different results if I use ctypes or the module g.region, I wrote:
>
> import ctypes import grass.lib.gis as libgis from grass import script
>
> SEP = '\n\n'
>
> c_region = ctypes.pointer(libgis.Cell_head())
> ## read current region
> libgis.G_get_set_window(c_region)
>
> print('original')
> print(c_region.contents.ns_res)
> print(c_region.contents.rows)
> print(c_region.contents.ew_res)
> print(c_region.contents.cols)
> print(SEP)
> ## change resolution
> c_region.contents.ns_res = 100.
> c_region.contents.ew_res = 100.
> ## adjust
> libgis.G_adjust_Cell_head(c_region, 0, 0)
>
> print('changed')
> print(c_region.contents.ns_res)
> print(c_region.contents.rows)
> print(c_region.contents.ew_res)
> print(c_region.contents.cols)
> print(SEP)
> ## save current
> libgis.G_set_window(c_region)
>
> print(script.read_command("g.region", flags="p"))
> print(SEP)
> ## read current region
> libgis.G_get_set_window(c_region)
> print('after')
> print(c_region.contents.ns_res)
> print(c_region.contents.rows)
> print(c_region.contents.ew_res)
> print(c_region.contents.cols)
> print(SEP)
>
> The output is:
>
> original10.0135010.01500
>
> changed100.0135100.0150
>
> projection: 99 (Lambert Conformal Conic)
> zone: 0
> datum: nad83
> ellipsoid: a=6378137 es=0.006694380022900787
> north: 228500
> south: 215000
> west: 630000
> east: 645000
> nsres: 10
> ewres: 10
> rows: 1350
> cols: 1500
> cells: 2025000
>
> after100.0135100.0150
>
> Any Ideas?
>
> Pietro
>
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