Python UGrid.from_ncfile方法代码示例

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_with_just_nodes_and_depths():

    filename = '2_triangles_depth.nc'
    grid = two_triangles()
    del grid.faces
    del grid.edges

    depth_array = [1.0, 2.0, 3.0, 4.0]

    depth = DataSet('depth',
                    'node',
                    [1.0, 2.0, 3.0, 4.0],
                    {'units':'m',
                     'positive':'down',
                     'standard_name' : "sea_floor_depth_below_geoid",
                     })

    grid.add_data(depth)

    with chdir('files'):
        grid.save_as_netcdf(filename)

        # read it back in and check it out
        grid2 = UGrid.from_ncfile(filename, load_data=True)

    assert grid2.faces is None
    assert grid2.edges is None
    assert np.array_equal( grid2.nodes, grid.nodes )

    assert np.array_equal( grid2.data['depth'].data, depth_array )     
    assert grid2.data['depth'].attributes == depth.attributes     

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_two_triangles_without_edges():
    grid = two_triangles_with_depths()
    grid.edges = None

    grid.save_as_netcdf("2_triangles_without_edges.nc")

    # read it back in and check it out
    ug = UGrid.from_ncfile("2_triangles_without_edges.nc", load_data=True)

    assert ug.nodes.shape == (4, 2)
    assert ug.nodes.shape == grid.nodes.shape

    # not ideal to pull specific values out, but how else to test?
    assert np.array_equal(ug.nodes[0, :], (0.1, 0.1))
    assert np.array_equal(ug.nodes[-1, :], (3.1, 2.1))
    assert np.array_equal(ug.nodes, grid.nodes)

    assert ug.faces.shape == grid.faces.shape

    assert ug.edges is None

    depths = find_depths(ug)
    assert depths.data.shape == (4,)
    assert depths.data[0] == 1
    assert depths.attributes["units"] == "unknown"

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_with_just_nodes_and_depths():
    expected = two_triangles()
    del expected.faces
    del expected.edges

    depth = UVar('depth',
                 'node',
                 np.array([1.0, 2.0, 3.0, 4.0]),
                 {'units': 'm',
                  'positive': 'down',
                  'standard_name': 'sea_floor_depth_below_geoid'})
    expected.add_data(depth)

    fname = '2_triangles_depth.nc'
    with chdir(test_files):
        expected.save_as_netcdf(fname)
        grid = UGrid.from_ncfile(fname, load_data=True)
        os.remove(fname)

    assert grid.faces is None
    assert grid.edges is None
    assert np.array_equal(expected.nodes, grid.nodes)

    assert np.array_equal(expected.data['depth'].data, grid.data['depth'].data)
    assert expected.data['depth'].attributes == grid.data['depth'].attributes

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def ugrid(location, name):
    """
    Create a cube from an unstructured grid.

    Args:

    * location:
        A string whose value represents the path to a file or
        URL to an OpenDAP resource conforming to the
        Unstructured Grid Metadata Conventions for Scientific Datasets
        https://github.com/ugrid-conventions/ugrid-conventions

    * name:
        A string whose value represents a cube loading constraint of
        first the standard name if found, then the long name if found,
        then the variable name if found, before falling back to
        the value of the default which itself defaults to "unknown"

    Returns:
        An instance of :class:`iris.cube.Cube` decorated with
        an instance of :class:`pyugrid.ugrid.Ugrid`
        bound to an attribute of the cube called "mesh"

    """

    cube = iris.load_cube(location, name)
    ug = UGrid.from_ncfile(location)
    cube.mesh = ug
    cube.mesh_dimension = 1  # {0:time, 1:node}
    return cube

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_two_triangles_without_edges():
    grid = two_triangles_with_depths()
    grid.edges = None

    fname = '2_triangles_without_edges.nc'
    with chdir(test_files):
        grid.save_as_netcdf(fname)
        ug = UGrid.from_ncfile(fname, load_data=True)
        os.remove(fname)

    assert ug.nodes.shape == (4, 2)
    assert ug.nodes.shape == grid.nodes.shape

    # FIXME: Not ideal to pull specific values out, but how else to test?
    assert np.array_equal(ug.nodes[0, :], (0.1, 0.1))
    assert np.array_equal(ug.nodes[-1, :], (3.1, 2.1))
    assert np.array_equal(ug.nodes, grid.nodes)

    assert ug.faces.shape == grid.faces.shape

    assert ug.edges is None

    depths = find_depths(ug)
    assert depths.data.shape == (4,)
    assert depths.data[0] == 1
    assert depths.attributes['units'] == 'unknown'

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_with_just_nodes_and_depths():
    expected = two_triangles()
    del expected.faces
    del expected.edges

    depth = UVar(
        "depth",
        "node",
        np.array([1.0, 2.0, 3.0, 4.0]),
        {"units": "m", "positive": "down", "standard_name": "sea_floor_depth_below_geoid"},
    )
    expected.add_data(depth)

    fname = "2_triangles_depth.nc"
    with chdir(test_files):
        expected.save_as_netcdf(fname)
        grid = UGrid.from_ncfile(fname, load_data=True)
        os.remove(fname)

    assert grid.faces is None
    assert grid.edges is None
    assert np.array_equal(expected.nodes, grid.nodes)

    assert np.array_equal(expected.data["depth"].data, grid.data["depth"].data)
    assert expected.data["depth"].attributes == grid.data["depth"].attributes

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_without_faces():
    expected = two_triangles()
    del expected.faces
    assert expected.faces is None

    fname = '2_triangles.nc'
    with chdir(test_files):
        expected.save_as_netcdf(fname)
        grid = UGrid.from_ncfile(fname)
        os.remove(fname)

    assert grid.faces is None
    assert np.array_equal(expected.faces, grid.faces)
    assert np.array_equal(expected.edges, grid.edges)

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_without_faces():
    grid = two_triangles()
    del grid.faces
    assert grid.faces is None

    with chdir('files'):
        grid.save_as_netcdf('2_triangles.nc')

        # read it back in and check it out
        grid2 = UGrid.from_ncfile('2_triangles.nc')

    assert grid2.faces is None
    assert np.array_equal(grid.faces, grid2.faces)
    assert np.array_equal(grid.edges, grid2.edges)

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_21_triangles():
    grid = twenty_one_triangles_with_depths()

    grid.save_as_netcdf("21_triangles.nc")

    # read it back in and check it out
    ug = UGrid.from_ncfile("21_triangles.nc", load_data=True)

    assert ug.nodes.shape == grid.nodes.shape

    # not ideal to pull specific values out, but how else to test?
    assert np.array_equal(ug.nodes, grid.nodes)

    depths = find_depths(ug)
    assert depths.data.shape == (20,)
    assert depths.data[0] == 1
    assert depths.attributes["units"] == "unknown"

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_with_faces():
    """
    Test with faces, edges, but no `face_coordinates` or `edge_coordinates`.

    """

    expected = two_triangles()

    fname = '2_triangles.nc'
    with chdir(test_files):
        expected.save_as_netcdf(fname)
        grid = UGrid.from_ncfile(fname)
        os.remove(fname)

    assert np.array_equal(expected.nodes, grid.nodes)
    assert np.array_equal(expected.faces, grid.faces)
    assert np.array_equal(expected.edges, grid.edges)

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_21_triangles():
    grid = twenty_one_triangles_with_depths()

    fname = '21_triangles.nc'
    with chdir(test_files):
        grid.save_as_netcdf(fname)
        ug = UGrid.from_ncfile(fname, load_data=True)
        os.remove(fname)

    assert ug.nodes.shape == grid.nodes.shape

    # FIXME: Not ideal to pull specific values out, but how else to test?
    assert np.array_equal(ug.nodes, grid.nodes)

    depths = find_depths(ug)
    assert depths.data.shape == (20,)
    assert depths.data[0] == 1
    assert depths.attributes['units'] == 'unknown'

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_with_faces():
    """
    test with faces, edges, but no face_coordintates or edge_coordinates
    """

    with chdir('files'):
        grid = two_triangles()

        grid.save_as_netcdf('2_triangles.nc')

        # read it back in and check it out
        grid2 = UGrid.from_ncfile('2_triangles.nc')

    assert np.array_equal(grid.nodes, grid2.nodes)
    assert np.array_equal(grid.faces, grid2.faces)

    print grid2.edges

    assert np.array_equal(grid.edges, grid2.edges)

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]

#.........这里部分代码省略.........

    grid.add_data(depths)

    # velocities on the faces:
    u_vel = DataSet('u', location='face', data=np.sin(np.linspace(3,12,21)))
    u_vel.attributes['units'] = 'm/s'
    u_vel.attributes["standard_name"] = "eastward_sea_water_velocity"

    grid.add_data(u_vel)

    # create a dataset object for v velocity:
    v_vel = DataSet('v', location='face', data=np.sin(np.linspace(12,15,21)))
    v_vel.attributes['units'] = 'm/s'
    v_vel.attributes["standard_name"] = "northward_sea_water_velocity"

    grid.add_data(v_vel)

    # fluxes on the edges:
    flux = DataSet('flux', location='edge', data=np.linspace(1000,2000,41))
    flux.attributes['units'] = 'm^3/s'
    flux.attributes["long_name"] = "volume flux between cells"
    flux.attributes["standard_name"] = "ocean_volume_transport_across_line"

    grid.add_data(flux)

    # Some boundary conditions:

    bounds = np.zeros( (19,), dtype=np.uint8 )
    bounds[7] = 1
    bnds = DataSet('bnd_cond', location='boundary', data=bounds)
    bnds.attributes["long_name"] = "model boundary conditions"
    bnds.attributes["flag_values"] = "0 1"
    bnds.attributes["flag_meanings"] = "no_flow_boundary  open_boundary"

    grid.add_data(bnds)

    grid.save_as_netcdf(fname)

    ## now the tests:
    with netCDF4.Dataset(fname) as ds:

        assert nc_has_variable(ds, 'mesh')
        assert nc_has_variable(ds, 'depth')

        assert nc_var_has_attr_vals(ds, 'depth', {"coordinates" : "mesh_node_lon mesh_node_lat",
                                                  "location" : "node"})

        assert nc_has_variable(ds, 'u')
        assert nc_has_variable(ds, 'v')

        assert nc_var_has_attr_vals(ds, 'u', {
                                              "coordinates" : "mesh_face_lon mesh_face_lat",
                                              "location" : "face",
                                              "mesh": "mesh"
                                              })

        assert nc_var_has_attr_vals(ds, 'v', {
                                              "coordinates" : "mesh_face_lon mesh_face_lat",
                                              "location" : "face",
                                              "mesh": "mesh",
                                              })

        assert nc_has_variable(ds, 'flux')

        assert nc_var_has_attr_vals(ds, 'flux', {
                                              "coordinates" : "mesh_edge_lon mesh_edge_lat",
                                              "location" : "edge",
                                              'units' : 'm^3/s',
                                              "mesh": "mesh",
                                              })
        assert nc_has_variable(ds, 'mesh')
        assert nc_has_variable(ds, 'bnd_cond')

        assert nc_var_has_attr_vals(ds, 'mesh', {
                                              "boundary_node_connectivity" : "mesh_boundary_nodes",
                                              })

        assert nc_var_has_attr_vals(ds, 'bnd_cond', {
                                              "location" : "boundary",
                                              "flag_values" : "0 1",
                                              "flag_meanings" : "no_flow_boundary  open_boundary",
                                              "mesh": "mesh",
                                              })
    # and make sure pyugrid can reload it!
    grid = UGrid.from_ncfile(fname,load_data=True)
    # and that some things are the same:
    # note:  more testing might be good here...
    #        maybe some grid comparison functions? 

    assert grid.mesh_name == 'mesh'

    print "grid data:", grid.data
    assert len(grid.nodes) == 20


    depth = grid.data['depth']
    assert depth.attributes['units'] == 'm'

    u = grid.data['u']
    assert u.attributes['units'] == 'm/s'

# 需要导入模块: from pyugrid.ugrid import UGrid [as 别名]
# 或者: from pyugrid.ugrid.UGrid import from_ncfile [as 别名]
def test_write_everything():
    """An example with all features enabled, and a less trivial grid."""

    grid = twenty_one_triangles()

    grid.build_edges()
    grid.build_face_face_connectivity()

    grid.build_edge_coordinates()
    grid.build_face_coordinates()
    grid.build_boundary_coordinates()

    # Depth on the nodes.
    depths = UVar('depth', location='node', data=np.linspace(1, 10, 20))
    depths.attributes['units'] = 'm'
    depths.attributes['standard_name'] = 'sea_floor_depth_below_geoid'
    depths.attributes['positive'] = 'down'
    grid.add_data(depths)

    # Create a UVar object for u velocity:
    u_vel = UVar('u', location='face', data=np.sin(np.linspace(3, 12, 21)))
    u_vel.attributes['units'] = 'm/s'
    u_vel.attributes['standard_name'] = 'eastward_sea_water_velocity'

    grid.add_data(u_vel)

    # Create a UVar object for v velocity:
    v_vel = UVar('v', location='face', data=np.sin(np.linspace(12, 15, 21)))
    v_vel.attributes['units'] = 'm/s'
    v_vel.attributes['standard_name'] = 'northward_sea_water_velocity'

    grid.add_data(v_vel)

    # Fluxes on the edges:
    flux = UVar('flux', location='edge', data=np.linspace(1000, 2000, 41))
    flux.attributes['units'] = 'm^3/s'
    flux.attributes['long_name'] = 'volume flux between cells'
    flux.attributes['standard_name'] = 'ocean_volume_transport_across_line'

    grid.add_data(flux)

    # Boundary conditions:
    bounds = np.zeros((19,), dtype=np.uint8)
    bounds[7] = 1
    bnds = UVar('bnd_cond', location='boundary', data=bounds)
    bnds.attributes['long_name'] = 'model boundary conditions'
    bnds.attributes['flag_values'] = '0 1'
    bnds.attributes['flag_meanings'] = 'no_flow_boundary  open_boundary'

    grid.add_data(bnds)

    fname = 'full_example.nc'
    with chdir(test_files):
        grid.save_as_netcdf(fname)
        ds = netCDF4.Dataset(fname)

        # Now the tests:
        assert nc_has_variable(ds, 'mesh')
        assert nc_has_variable(ds, 'depth')
        assert nc_var_has_attr_vals(ds, 'depth', {
            'coordinates': 'mesh_node_lon mesh_node_lat',
            'location': 'node'})
        assert nc_has_variable(ds, 'u')
        assert nc_has_variable(ds, 'v')
        assert nc_var_has_attr_vals(ds, 'u', {
            'coordinates': 'mesh_face_lon mesh_face_lat',
            'location': 'face',
            'mesh': 'mesh'})
        assert nc_var_has_attr_vals(ds, 'v', {
            'coordinates': 'mesh_face_lon mesh_face_lat',
            'location': 'face',
            'mesh': 'mesh',
            })
        assert nc_has_variable(ds, 'flux')
        assert nc_var_has_attr_vals(ds, 'flux', {
            'coordinates': 'mesh_edge_lon mesh_edge_lat',
            'location': 'edge',
            'units': 'm^3/s',
            'mesh': 'mesh'})
        assert nc_has_variable(ds, 'mesh')
        assert nc_has_variable(ds, 'bnd_cond')
        assert nc_var_has_attr_vals(ds, 'mesh', {
            'boundary_node_connectivity': 'mesh_boundary_nodes',
            })
        assert nc_var_has_attr_vals(ds, 'bnd_cond', {
            'location': 'boundary',
            'flag_values': '0 1',
            'flag_meanings': 'no_flow_boundary  open_boundary',
            'mesh': 'mesh',
            })
        ds.close()

        # And make sure pyugrid can reload it!
        with chdir(test_files):
            grid = UGrid.from_ncfile('full_example.nc', load_data=True)
        # And that some things are the same.
        # NOTE: more testing might be good here.
        # maybe some grid comparison functions?

        assert grid.mesh_name == 'mesh'
#.........这里部分代码省略.........