"""
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, {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 2-D
{table-classes}.
{outgrid}
{spacing}
{region}
{verbose}
{binary}
{header}
{incols}
{registration}
{cores}
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 arc-degree, and the region to global ("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 (outgrid := kwargs.get("G")) is None:
kwargs["G"] = outgrid = tmpfile.name # output to tmpfile
lib.call_module(
module="sph2grd", args=build_arg_string(kwargs, infile=infile)
)
return load_dataarray(outgrid) if outgrid == tmpfile.name else None