"""
grdview - Create a three-dimensional plot from a grid.
"""
import contextlib
from pygmt.clib import Session
from pygmt.exceptions import GMTInvalidInput
from pygmt.helpers import (
build_arg_string,
data_kind,
fmt_docstring,
kwargs_to_strings,
use_alias,
)
@fmt_docstring
@use_alias(
R="region",
J="projection",
Jz="zscale",
JZ="zsize",
B="frame",
C="cmap",
G="drapegrid",
N="plane",
Q="surftype",
Wc="contourpen",
Wm="meshpen",
Wf="facadepen",
I="shading",
V="verbose",
X="xshift",
Y="yshift",
c="panel",
f="coltypes",
n="interpolation",
p="perspective",
t="transparency",
)
@kwargs_to_strings(R="sequence", c="sequence_comma", p="sequence")
def grdview(self, grid, **kwargs):
r"""
Create 3-D perspective image or surface mesh from a grid.
Reads a 2-D grid file and produces a 3-D perspective plot by drawing a
mesh, painting a colored/gray-shaded surface made up of polygons, or by
scanline conversion of these polygons to a raster image. Options
include draping a data set on top of a surface, plotting of contours on
top of the surface, and apply artificial illumination based on
intensities provided in a separate grid file.
Full option list at :gmt-docs:`grdview.html`
{aliases}
Parameters
----------
grid : str or xarray.DataArray
The file name of the input relief grid or the grid loaded as a
DataArray.
region : str or list
*xmin/xmax/ymin/ymax*\ [**+r**][**+u**\ *unit*].
Specify the :doc:`region </tutorials/basics/regions>` of interest.
When used with ``perspective``, optionally append */zmin/zmax* to
indicate the range to use for the 3-D axes [Default is the region in
the input grid].
{J}
zscale/zsize : float or str
Set z-axis scaling or z-axis size.
{B}
cmap : str
The name of the color palette table to use.
drapegrid : str or xarray.DataArray
The file name or a DataArray of the image grid to be draped on top
of the relief provided by grid. [Default determines colors from
grid]. Note that ``zscale`` and ``plane`` always refers to the grid.
The drapegrid only provides the information pertaining to colors, which
(if drapegrid is a grid) will be looked-up via the CPT (see ``cmap``).
plane : float or str
*level*\ [**+g**\ *fill*].
Draws a plane at this z-level. If the optional color is provided
via the **+g** modifier, and the projection is not oblique, the frontal
facade between the plane and the data perimeter is colored.
surftype : str
Specifies cover type of the grid.
Select one of following settings:
- **m** - mesh plot [Default].
- **mx** or **my** - waterfall plots (row or column profiles).
- **s** - surface plot, and optionally append **m** to have mesh lines
drawn on top of the surface.
- **i** - image plot.
- **c** - Same as **i** but will make nodes with z = NaN transparent.
For any of these choices, you may force a monochrome image by
appending the modifier **+m**.
contourpen : str
Draw contour lines on top of surface or mesh (not image). Append
pen attributes used for the contours.
meshpen : str
Sets the pen attributes used for the mesh. You must also select
``surftype`` of **m** or **sm** for meshlines to be drawn.
facadepen :str
Sets the pen attributes used for the facade. You must also select
``plane`` for the facade outline to be drawn.
shading : str
Provide the name of a grid file with intensities in the (-1,+1)
range, or a constant intensity to apply everywhere (affects the
ambient light). Alternatively, derive an intensity grid from the
input data grid reliefgrid via a call to ``grdgradient``; append
**+a**\ *azimuth*, **+n**\ *args*, and **+m**\ *ambient* to specify
azimuth, intensity, and ambient arguments for that module, or just give
**+d** to select the default arguments
[Default is **+a**\ -45\ **+nt**\ 1\ **+m**\ 0].
{V}
{XY}
{c}
{f}
{n}
{p}
{t}
"""
kwargs = self._preprocess(**kwargs) # pylint: disable=protected-access
with Session() as lib:
file_context = lib.virtualfile_from_data(check_kind="raster", data=grid)
with contextlib.ExitStack() as stack:
if "G" in kwargs: # deal with kwargs["G"] if drapegrid is xr.DataArray
drapegrid = kwargs["G"]
if data_kind(drapegrid) in ("file", "grid"):
if data_kind(drapegrid) == "grid":
drape_context = lib.virtualfile_from_grid(drapegrid)
kwargs["G"] = stack.enter_context(drape_context)
else:
raise GMTInvalidInput(
f"Unrecognized data type for drapegrid: {type(drapegrid)}"
)
fname = stack.enter_context(file_context)
lib.call_module("grdview", build_arg_string(kwargs, infile=fname))