Source code for pygmt.src.surface

surface - Grids table data using adjustable tension continuous curvature
from pygmt.clib import Session
from pygmt.helpers import (
from import load_dataarray

__doctest_skip__ = ["surface"]

[docs]@fmt_docstring @use_alias( I="spacing", R="region", G="outgrid", V="verbose", a="aspatial", b="binary", d="nodata", e="find", f="coltypes", h="header", i="incols", r="registration", w="wrap", ) @kwargs_to_strings(I="sequence", R="sequence") def surface(data=None, x=None, y=None, z=None, **kwargs): r""" Grids table data using adjustable tension continuous curvature splines. Surface reads randomly-spaced (x, y, z) triplets and produces gridded values z(x,y) by solving: .. math:: (1 - t)\nabla^2(z)+t\nabla(z) = 0 where :math:`t` is a tension factor between 0 and 1, and :math:`\nabla` indicates the Laplacian operator. Takes a matrix, (x, y, z) triplets, or a file name as input. Must provide either ``data`` or ``x``, ``y``, and ``z``. Full option list at :gmt-docs:`surface.html` {aliases} Parameters ---------- data : str or {table-like} Pass in (x, y, z) or (longitude, latitude, elevation) values by providing a file name to an ASCII data table, a 2-D {table-classes}. x/y/z : 1-D arrays Arrays of x and y coordinates and values z of the data points. {spacing} {region} outgrid : str Optional. The file name for the output netcdf file with extension .nc to store the grid in. {verbose} {aspatial} {binary} {nodata} {find} {coltypes} {header} {incols} {registration} {wrap} 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 >>> # Load a sample table of topography >>> topography = pygmt.datasets.load_sample_data( ... name="notre_dame_topography" ... ) >>> # Perform gridding of topography data >>> grid = pygmt.surface(data=topography, spacing=1, region=[0, 4, 0, 8]) """ with GMTTempFile(suffix=".nc") as tmpfile: with Session() as lib: # Choose how data will be passed into the module file_context = lib.virtualfile_from_data( check_kind="vector", data=data, x=x, y=y, z=z, required_z=True ) with file_context as infile: if (outgrid := kwargs.get("G")) is None: kwargs["G"] = outgrid = # output to tmpfile lib.call_module( module="surface", args=build_arg_string(kwargs, infile=infile) ) return load_dataarray(outgrid) if outgrid == else None