cfdm.example_domain

cfdm.example_domain(n, _func=<function example_field>)[source]

Return an example domain construct.

New in version (cfdm): 1.8.9.0

Parameters
n: int

Select the example domain construct to return, one of:

n

Description

0

A domain construct dimension coordinate constructs with bounds.

1

A domain construct with at least one of every possible type of metadata construct.

2

A domain construct dimension coordinate constructs with bounds. series at each latitude-longitude location.

3

A domain construct for discrete sampling geometry (DSG) “timeSeries” features.

4

A domain construct or discrete sampling geometry (DSG) “timeSeriesProfile” features.

5

A domain construct dimension coordinate constructs with bounds.

6

A domain construct that has polygon geometry coordinate cells with interior ring variables.

7

A domain construct that has rotated pole dimension coordinate constructs and 2-d latitude and longitude auxiliary coordinate constructs.

See the examples for details.

_func: function

The function that creates the field construct from which the domain construct is derived.

Returns
Domain

The example domain construct.

Examples:

>>> f = cfdm.example_domain(0)
>>> print(f)
Dimension coords: latitude(5) = [-75.0, ..., 75.0] degrees_north
                : longitude(8) = [22.5, ..., 337.5] degrees_east
                : time(1) = [2019-01-01 00:00:00]
>>> f = cfdm.example_domain(1)
>>> print(f)
Dimension coords: atmosphere_hybrid_height_coordinate(1) = [1.5]
                : grid_latitude(10) = [2.2, ..., -1.76] degrees
                : grid_longitude(9) = [-4.7, ..., -1.18] degrees
                : time(1) = [2019-01-01 00:00:00]
Auxiliary coords: latitude(grid_latitude(10), grid_longitude(9)) = [[53.941, ..., 50.225]] degrees_N
                : longitude(grid_longitude(9), grid_latitude(10)) = [[2.004, ..., 8.156]] degrees_E
                : long_name=Grid latitude name(grid_latitude(10)) = [--, ..., b'kappa']
Cell measures   : measure:area(grid_longitude(9), grid_latitude(10)) = [[2391.9657, ..., 2392.6009]] km2
Coord references: grid_mapping_name:rotated_latitude_longitude
                : standard_name:atmosphere_hybrid_height_coordinate
Domain ancils   : ncvar%a(atmosphere_hybrid_height_coordinate(1)) = [10.0] m
                : ncvar%b(atmosphere_hybrid_height_coordinate(1)) = [20.0]
                : surface_altitude(grid_latitude(10), grid_longitude(9)) = [[0.0, ..., 270.0]] m
>>> f = cfdm.example_domain(2)
>>> print(f)
Dimension coords: time(36) = [1959-12-16 12:00:00, ..., 1962-11-16 00:00:00]
                : latitude(5) = [-75.0, ..., 75.0] degrees_north
                : longitude(8) = [22.5, ..., 337.5] degrees_east
                : air_pressure(1) = [850.0] hPa
>>> f = cfdm.example_domain(3)
>>> print(f)
Auxiliary coords: time(cf_role=timeseries_id(4), ncdim%timeseries(9)) = [[1969-12-29 00:00:00, ..., 1970-01-07 00:00:00]]
                : latitude(cf_role=timeseries_id(4)) = [-9.0, ..., 78.0] degrees_north
                : longitude(cf_role=timeseries_id(4)) = [-23.0, ..., 178.0] degrees_east
                : height(cf_role=timeseries_id(4)) = [0.5, ..., 345.0] m
                : cf_role=timeseries_id(cf_role=timeseries_id(4)) = [b'station1', ..., b'station4']
                : long_name=station information(cf_role=timeseries_id(4)) = [-10, ..., -7]
>>> f = cfdm.example_domain(4)
>>> print(f)
Auxiliary coords: time(cf_role=timeseries_id(3), ncdim%timeseries(26)) = [[1970-01-04 00:00:00, ..., --]]
                : latitude(cf_role=timeseries_id(3)) = [-9.0, 2.0, 34.0] degrees_north
                : longitude(cf_role=timeseries_id(3)) = [-23.0, 0.0, 67.0] degrees_east
                : height(cf_role=timeseries_id(3)) = [0.5, 12.6, 23.7] m
                : altitude(cf_role=timeseries_id(3), ncdim%timeseries(26), ncdim%profile_1(4)) = [[[2.07, ..., --]]] km
                : cf_role=timeseries_id(cf_role=timeseries_id(3)) = [b'station1', b'station2', b'station3']
                : long_name=station information(cf_role=timeseries_id(3)) = [-10, -9, -8]
                : cf_role=profile_id(cf_role=timeseries_id(3), ncdim%timeseries(26)) = [[102, ..., --]]
>>> f = cfdm.example_domain(5)
>>> print(f)
Dimension coords: time(118) = [1959-01-01 06:00:00, ..., 1959-02-28 18:00:00]
                : latitude(5) = [-75.0, ..., 75.0] degrees_north
                : longitude(8) = [22.5, ..., 337.5] degrees_east
                : air_pressure(1) = [850.0] hPa
>>> f = cfdm.example_domain(6)
>>> print(f)
Dimension coords: time(4) = [2000-01-16 12:00:00, ..., 2000-04-15 00:00:00]
Auxiliary coords: latitude(cf_role=timeseries_id(2)) = [25.0, 7.0] degrees_north
                : longitude(cf_role=timeseries_id(2)) = [10.0, 40.0] degrees_east
                : cf_role=timeseries_id(cf_role=timeseries_id(2)) = [b'x1', b'y2']
                : ncvar%z(cf_role=timeseries_id(2), 3, 4) = [[[1.0, ..., --]]] m
Coord references: grid_mapping_name:latitude_longitude
>>> f = cfdm.example_domain(7)
>>> print(f)
Dimension coords: time(3) = [1979-05-01 12:00:00, 1979-05-02 12:00:00, 1979-05-03 12:00:00] gregorian
                : air_pressure(1) = [850.0] hPa
                : grid_latitude(4) = [0.44, ..., -0.88] degrees
                : grid_longitude(5) = [-1.18, ..., 0.58] degrees
Auxiliary coords: latitude(grid_latitude(4), grid_longitude(5)) = [[52.4243, ..., 51.1163]] degrees_north
                : longitude(grid_latitude(4), grid_longitude(5)) = [[8.0648, ..., 10.9238]] degrees_east
Coord references: grid_mapping_name:rotated_latitude_longitude