pygmt.datasets.load_earth_age
- pygmt.datasets.load_earth_age(resolution='01d', region=None, registration='gridline')[source]
Load the Earth seafloor crustal age dataset in various resolutions.
The grids are downloaded to a user data directory (usually
~/.gmt/server/earth/earth_age/
) the first time you invoke this function. Afterwards, it will load the grid from the data directory. So you’ll need an internet connection the first time around.These grids can also be accessed by passing in the file name @earth_age_res[_reg] to any grid processing function or plotting method. res is the grid resolution (see below), and reg is the grid registration type (p for pixel registration or g for the gridline registration).
The default color palette table (CPT) for this dataset is @earth_age.cpt. It’s implicitly used when passing in the file name of the dataset to any grid plotting method if no CPT is explicitly specified. When the dataset is loaded and plotted as an
xarray.DataArray
object, the default CPT is ignored, and GMT’s default CPT (turbo) is used. To use the dataset-specific CPT, you need to explicitly setcmap="@earth_age.cpt"
.Refer to https://www.generic-mapping-tools.org/remote-datasets/earth-age.html for more details about available datasets, including version information and references.
- Parameters:
resolution (
Literal
['01d'
,'30m'
,'20m'
,'15m'
,'10m'
,'06m'
,'05m'
,'04m'
,'03m'
,'02m'
,'01m'
], default:'01d'
) – The grid resolution. The suffixd
andm
stand for arc-degrees and arc-minutes.region (
Sequence
[float
] |str
|None
, default:None
) – The subregion of the grid to load, in the form of a sequence [xmin, xmax, ymin, ymax] or an ISO country code. Required for grids with resolutions higher than 5 arc-minutes (i.e.,"05m"
).registration (
Literal
['gridline'
,'pixel'
], default:'gridline'
) – Grid registration type. Either"pixel"
for pixel registration or"gridline"
for gridline registration.
- Return type:
- Returns:
grid – The Earth seafloor crustal age grid. Coordinates are latitude and longitude in degrees. Age is in millions of years (Myr).
Note
The registration and coordinate system type of the returned
xarray.DataArray
grid can be accessed via the GMT accessors (i.e.,grid.gmt.registration
andgrid.gmt.gtype
respectively). However, these properties may be lost after specific grid operations (such as slicing) and will need to be manually set before passing the grid to any PyGMT data processing or plotting functions. Refer topygmt.GMTDataArrayAccessor
for detailed explanations and workarounds.Examples
>>> from pygmt.datasets import load_earth_age >>> # load the default grid (gridline-registered 1 arc-degree grid) >>> grid = load_earth_age() >>> # load the 30 arc-minutes grid with "gridline" registration >>> grid = load_earth_age(resolution="30m", registration="gridline") >>> # load high-resolution (5 arc-minutes) grid for a specific region >>> grid = load_earth_age( ... resolution="05m", ... region=[120, 160, 30, 60], ... registration="gridline", ... )
Examples using pygmt.datasets.load_earth_age
Draping a dataset on top of a topographic surface