"""
GMT accessor for :class:`xarray.DataArray`.
"""
from pathlib import Path
import xarray as xr
from pygmt.exceptions import GMTInvalidInput
from pygmt.src.grdinfo import grdinfo
[docs]@xr.register_dataarray_accessor("gmt")
class GMTDataArrayAccessor:
"""
GMT accessor for :class:`xarray.DataArray`.
The accessor extends :class:`xarray.DataArray` to store GMT-specific
properties about grids, which are important for PyGMT to correctly process
and plot the grids.
Notes
-----
Due to the limitations of xarray accessors, the GMT accessors are created
once per :class:`xarray.DataArray` instance. You may lose these
GMT-specific properties when manipulating grids (e.g., arithmetic and slice
operations) or when accessing a :class:`xarray.DataArray` from a
:class:`xarray.Dataset`. In these cases, you need to manually set these
properties before passing the grid to PyGMT.
Examples
--------
For GMT's built-in remote datasets, these GMT-specific properties are
automatically determined and you can access them as follows:
>>> from pygmt.datasets import load_earth_relief
>>> # Use the global Earth relief grid with 1 degree spacing
>>> grid = load_earth_relief(resolution="01d", registration="pixel")
>>> # See if grid uses Gridline (0) or Pixel (1) registration
>>> grid.gmt.registration
1
>>> # See if grid uses Cartesian (0) or Geographic (1) coordinate system
>>> grid.gmt.gtype
1
For :class:`xarray.DataArray` grids created by yourself, grid properties
``registration`` and ``gtype`` default to 0 (i.e., a gridline-registered,
Cartesian grid). You need to set the correct properties before
passing it to PyGMT functions:
>>> import numpy as np
>>> import pygmt
>>> import xarray as xr
>>> # create a DataArray in gridline coordinates of sin(lon) * cos(lat)
>>> interval = 2.5
>>> lat = np.arange(90, -90 - interval, -interval)
>>> lon = np.arange(0, 360 + interval, interval)
>>> longrid, latgrid = np.meshgrid(lon, lat)
>>> data = np.sin(np.deg2rad(longrid)) * np.cos(np.deg2rad(latgrid))
>>> grid = xr.DataArray(
... data, coords=[("latitude", lat), ("longitude", lon)]
... )
>>> # default to a gridline-registrated Cartesian grid
>>> grid.gmt.registration, grid.gmt.gtype
(0, 0)
>>> # set it to a gridline-registered geographic grid
>>> grid.gmt.registration = 0
>>> grid.gmt.gtype = 1
>>> grid.gmt.registration, grid.gmt.gtype
(0, 1)
Note that the accessors are created once per :class:`xarray.DataArray`
instance, so you may lose these GMT-specific properties after manipulating
your grid.
Inplace assignment operators like ``*=`` don't create new instances, so the
properties are still kept:
>>> grid *= 2.0
>>> grid.gmt.registration, grid.gmt.gtype
(0, 1)
Other grid operations (e.g., arithmetic or slice operations) create new
instances, so the properties will be lost:
>>> # grid2 is a slice of the original grid
>>> grid2 = grid[0:30, 50:80]
>>> # properties are reset to the default values for new instance
>>> grid2.gmt.registration, grid2.gmt.gtype
(0, 0)
>>> # need to set these properties before passing the grid to PyGMT
>>> grid2.gmt.registration = grid.gmt.registration
>>> grid2.gmt.gtype = grid.gmt.gtype
>>> grid2.gmt.registration, grid2.gmt.gtype
(0, 1)
Accesing a :class:`xarray.DataArray` from a :class:`xarray.Dataset` always
creates new instances, so these properties are always lost. The workaround
is to assign the :class:`xarray.DataArray` into a variable:
>>> ds = xr.Dataset({"zval": grid})
>>> ds.zval.gmt.registration, ds.zval.gmt.gtype
(0, 0)
>>> # manually set these properties won't work as expected
>>> ds.zval.gmt.registration, ds.zval.gmt.gtype = 0, 1
>>> ds.zval.gmt.registration, ds.zval.gmt.gtype
(0, 0)
>>> # workaround: assign the DataArray into a variable
>>> zval = ds.zval
>>> zval.gmt.registration, zval.gmt.gtype
(0, 0)
>>> zval.gmt.registration, zval.gmt.gtype = 0, 1
>>> zval.gmt.registration, zval.gmt.gtype
(0, 1)
"""
def __init__(self, xarray_obj):
self._obj = xarray_obj
self._source = self._obj.encoding.get("source")
if self._source is not None and Path(self._source).exists():
try:
# Get grid registration and grid type from the last two columns
# of the shortened summary information of `grdinfo`.
self._registration, self._gtype = map(
int, grdinfo(self._source, per_column="n").split()[-2:]
)
except ValueError:
self._registration = 0 # Default to Gridline registration
self._gtype = 0 # Default to Cartesian grid type
else:
self._registration = 0 # Default to Gridline registration
self._gtype = 0 # Default to Cartesian grid type
del self._source
@property
def registration(self):
"""
Registration type of the grid, either 0 (Gridline) or 1 (Pixel).
"""
return self._registration
@registration.setter
def registration(self, value):
if value not in (0, 1):
raise GMTInvalidInput(
f"Invalid grid registration value: {value}, should be either "
"0 for Gridline registration or 1 for Pixel registration."
)
self._registration = value
@property
def gtype(self):
"""
Coordinate system type of the grid, either 0 (Cartesian) or 1
(Geographic).
"""
return self._gtype
@gtype.setter
def gtype(self, value):
if value not in (0, 1):
raise GMTInvalidInput(
f"Invalid coordinate system type: {value}, should be "
"either 0 for Cartesian or 1 for Geographic."
)
self._gtype = value