Source code for pygmt.src.sph2grd

"""
sph2grd - Compute grid from spherical harmonic coefficients
"""
from pygmt.clib import Session
from pygmt.helpers import (
    GMTTempFile,
    build_arg_string,
    fmt_docstring,
    kwargs_to_strings,
    use_alias,
)
from pygmt.io import load_dataarray

__doctest_skip__ = ["sph2grd"]


[docs]@fmt_docstring @use_alias( G="outgrid", I="spacing", R="region", V="verbose", b="binary", h="header", i="incols", r="registration", x="cores", ) @kwargs_to_strings(I="sequence", R="sequence", i="sequence_comma") def sph2grd(data, **kwargs): r""" Create spherical grid files in tension of data. Reads a spherical harmonics coefficient table with records of L, M, C[L,M], S[L,M] and evaluates the spherical harmonic model on the specified grid. Full option list at :gmt-docs:`sph2grd.html` {aliases} Parameters ---------- data : str or {table-like} Pass in data with L, M, C[L,M], S[L,M] values by providing a file name to an ASCII data table, a 2D {table-classes}. outgrid : str or None The name of the output netCDF file with extension .nc to store the grid in. {I} {R} {V} {b} {h} {i} {r} {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``) Example ------- >>> import pygmt >>> # Create a new grid from the remote file "EGM96_to_36.txt", >>> # set the grid spacing to 1, and the region to "g" >>> new_grid = pygmt.sph2grd( ... data="@EGM96_to_36.txt", spacing=1, region="g" ... ) """ with GMTTempFile(suffix=".nc") as tmpfile: with Session() as lib: file_context = lib.virtualfile_from_data(check_kind="vector", data=data) with file_context as infile: if "G" not in kwargs: # if outgrid is unset, output to tempfile kwargs.update({"G": tmpfile.name}) outgrid = kwargs["G"] lib.call_module("sph2grd", build_arg_string(kwargs, infile=infile)) return load_dataarray(outgrid) if outgrid == tmpfile.name else None