"""grdsample - Resample a grid onto a new lattice"""importxarrayasxrfrompygmt.clibimportSessionfrompygmt.helpersimportbuild_arg_list,fmt_docstring,kwargs_to_strings,use_alias__doctest_skip__=["grdsample"]
[docs]@fmt_docstring@use_alias(I="spacing",R="region",T="translate",V="verbose",f="coltypes",n="interpolation",r="registration",x="cores",)@kwargs_to_strings(I="sequence",R="sequence")defgrdsample(grid,outgrid:str|None=None,**kwargs)->xr.DataArray|None:r""" Change the registration, spacing, or nodes in a grid file. This reads a grid file and interpolates it to create a new grid file. It can change the registration with ``translate`` or ``registration``, change the grid-spacing or number of nodes with ``spacing``, and set a new sub-region using ``region``. A bicubic [Default], bilinear, B-spline or nearest-neighbor interpolation is set with ``interpolation``. When ``region`` is omitted, the output grid will cover the same region as the input grid. When ``spacing`` is omitted, the grid spacing of the output grid will be the same as the input grid. Either ``registration`` or ``translate`` can be used to change the grid registration. When omitted, the output grid will have the same registration as the input grid. Full option list at :gmt-docs:`grdsample.html` {aliases} Parameters ---------- {grid} {outgrid} {spacing} {region} translate : bool Translate between grid and pixel registration; if the input is grid-registered, the output will be pixel-registered and vice-versa. registration : str or bool [**g**\|\ **p**\ ]. Set registration to **g**\ ridline or **p**\ ixel. {verbose} {coltypes} {interpolation} {cores} Returns ------- ret Return type depends on whether the ``outgrid`` parameter is set: - :class:`xarray.DataArray` if ``outgrid`` is not set - ``None`` if ``outgrid`` is set (grid output will be stored in the file set by ``outgrid``) Example ------- >>> import pygmt >>> # Load a grid of @earth_relief_30m data, with a longitude range of >>> # 10° E to 30° E, and a latitude range of 15° N to 25° N >>> grid = pygmt.datasets.load_earth_relief( ... resolution="30m", region=[10, 30, 15, 25] ... ) >>> # Create a new grid from an input grid, change the registration, >>> # and set both x- and y-spacing to 0.5 arc-degrees >>> new_grid = pygmt.grdsample(grid=grid, translate=True, spacing=[0.5, 0.5]) """withSession()aslib:with(lib.virtualfile_in(check_kind="raster",data=grid)asvingrd,lib.virtualfile_out(kind="grid",fname=outgrid)asvoutgrd,):kwargs["G"]=voutgrdlib.call_module(module="grdsample",args=build_arg_list(kwargs,infile=vingrd))returnlib.virtualfile_to_raster(vfname=voutgrd,outgrid=outgrid)