Source code for pygmt.src.grdsample

grdsample - Resample a grid onto a new lattice

from pygmt.clib import Session
from pygmt.helpers import (
from import load_dataarray

[docs]@fmt_docstring @use_alias( G="outgrid", J="projection", I="spacing", R="region", T="translate", V="verbose", f="coltypes", n="interpolation", r="registration", x="cores", ) @kwargs_to_strings(I="sequence", R="sequence") def grdsample(grid, **kwargs): 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. {aliases} Parameters ---------- grid : str or xarray.DataArray The file name of the input grid or the grid loaded as a DataArray. outgrid : str or None The name of the output netCDF file with extension .nc to store the grid in. {I} {R} 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. {V} {f} {n} {x} Returns ------- ret: xarray.DataArray or None 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 file set by ``outgrid``) """ with GMTTempFile(suffix=".nc") as tmpfile: with Session() as lib: file_context = lib.virtualfile_from_data(check_kind="raster", data=grid) with file_context as infile: if "G" not in kwargs.keys(): # if outgrid is unset, output to tempfile kwargs.update({"G":}) outgrid = kwargs["G"] arg_str = " ".join([infile, build_arg_string(kwargs)]) lib.call_module("grdsample", arg_str) return load_dataarray(outgrid) if outgrid == else None