Python xarray.Variable方法代碼示例

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def _load_GeoTransform(self):
        """Calculate latitude and longitude variable calculated from the
        gdal.Open.GetGeoTransform method"""
        def load_lon():
            return arange(ds.RasterXSize)*b[1]+b[0]

        def load_lat():
            return arange(ds.RasterYSize)*b[5]+b[3]
        ds = self.ds
        b = self.ds.GetGeoTransform()  # bbox, interval
        if with_dask:
            lat = Array(
                {('lat', 0): (load_lat,)}, 'lat', (self.ds.RasterYSize,),
                shape=(self.ds.RasterYSize,), dtype=float)
            lon = Array(
                {('lon', 0): (load_lon,)}, 'lon', (self.ds.RasterXSize,),
                shape=(self.ds.RasterXSize,), dtype=float)
        else:
            lat = load_lat()
            lon = load_lon()
        return Variable(('lat',), lat), Variable(('lon',), lon) 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def can_decode(cls, ds, var):
        """
        Class method to determine whether the object can be decoded by this
        decoder class.

        Parameters
        ----------
        ds: xarray.Dataset
            The dataset that contains the given `var`
        var: xarray.Variable or xarray.DataArray
            The array to decode

        Returns
        -------
        bool
            True if the decoder can decode the given array `var`. Otherwise
            False

        Notes
        -----
        The default implementation returns True for any argument. Subclass this
        method to be specific on what type of data your decoder can decode
        """
        return True 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def standardize_dims(self, var, dims={}):
        """Replace the coordinate names through x, y, z and t

        Parameters
        ----------
        var: xarray.Variable
            The variable to use the dimensions of
        dims: dict
            The dictionary to use for replacing the original dimensions

        Returns
        -------
        dict
            The dictionary with replaced dimensions"""
        dims = dict(dims)
        name_map = {self.get_xname(var, self.ds.coords): 'x',
                    self.get_yname(var, self.ds.coords): 'y',
                    self.get_zname(var, self.ds.coords): 'z',
                    self.get_tname(var, self.ds.coords): 't'}
        dims = dict(dims)
        for dim in set(dims).intersection(name_map):
            dims[name_map[dim]] = dims.pop(dim)
        return dims 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def get_mesh(self, var, coords=None):
        """Get the mesh variable for the given `var`

        Parameters
        ----------
        var: xarray.Variable
            The data source whith the ``'mesh'`` attribute
        coords: dict
            The coordinates to use. If None, the coordinates of the dataset of
            this decoder is used

        Returns
        -------
        xarray.Coordinate
            The mesh coordinate"""
        mesh = var.attrs.get('mesh')
        if mesh is None:
            return None
        if coords is None:
            coords = self.ds.coords
        return coords.get(mesh, self.ds.coords.get(mesh)) 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def base(self):
        """Base dataset this instance gets its data from"""
        if self._base is None:
            if 'variable' in self.arr.dims:
                def to_dataset(i):
                    ret = self.isel(variable=i).to_dataset(
                        name=self.arr.coords['variable'].values[i])
                    try:
                        return ret.drop('variable')
                    except ValueError:  # 'variable' Variable not defined
                        pass
                    return ret
                ds = to_dataset(0)
                if len(self.arr.coords['variable']) > 1:
                    for i in range(1, len(self.arr.coords['variable'])):
                        ds.update(ds.merge(to_dataset(i)))
                self._base = ds
            else:
                self._base = self.arr.to_dataset(
                    name=self.arr.name or self.arr_name)
            self.onbasechange.emit()
        return self._base 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def _insert_fldmean_bounds(self, da, keepdims=False):
        xcoord = self.get_coord('x')
        ycoord = self.get_coord('y')
        sdims = (self.get_dim('y'), self.get_dim('x'))
        xbounds = np.array([[xcoord.min(), xcoord.max()]])
        ybounds = np.array([[ycoord.min(), ycoord.max()]])
        xdims = (sdims[-1], 'bnds') if keepdims else ('bnds', )
        ydims = (sdims[0], 'bnds') if keepdims else ('bnds', )
        xattrs = xcoord.attrs.copy()
        xattrs.pop('bounds', None)
        yattrs = ycoord.attrs.copy()
        yattrs.pop('bounds', None)
        da.psy.base.coords[xcoord.name + '_bnds'] = xr.Variable(
            xdims, xbounds if keepdims else xbounds[0], attrs=xattrs)
        da.psy.base.coords[ycoord.name + '_bnds'] = xr.Variable(
            ydims, ybounds if keepdims else ybounds[0], attrs=yattrs) 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def test_plot_bounds_2d(self):
        x = np.arange(1, 5)
        y = np.arange(5, 10)
        x2d, y2d = np.meshgrid(x, y)
        x_bnds = np.arange(0.5, 4.51, 1.0)
        y_bnds = np.arange(4.5, 9.51, 1.0)
        # the borders are not modified
        x_bnds[0] = 1.0
        x_bnds[-1] = 4.0
        y_bnds[0] = 5.0
        y_bnds[-1] = 9.0
        x2d_bnds, y2d_bnds = np.meshgrid(x_bnds, y_bnds)
        d = psyd.CFDecoder()
        # test x bounds
        bounds = d.get_plotbounds(xr.Variable(('y', 'x'), x2d))
        self.assertAlmostArrayEqual(bounds, x2d_bnds)

        # test y bounds
        bounds = d.get_plotbounds(xr.Variable(('y', 'x'), y2d))
        self.assertAlmostArrayEqual(bounds, y2d_bnds) 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def _from_dataset_test_variables(self):
        """The variables and coords needed for the from_dataset tests"""
        variables = {
             # 3d-variable
             'v0': xr.Variable(('time', 'ydim', 'xdim'), np.zeros((4, 4, 4))),
             # 2d-variable with time and x
             'v1': xr.Variable(('time', 'xdim', ), np.zeros((4, 4))),
             # 2d-variable with y and x
             'v2': xr.Variable(('ydim', 'xdim', ), np.zeros((4, 4))),
             # 1d-variable
             'v3': xr.Variable(('xdim', ), np.zeros(4))}
        coords = {
            'ydim': xr.Variable(('ydim', ), np.arange(1, 5)),
            'xdim': xr.Variable(('xdim', ), np.arange(4)),
            'time': xr.Variable(
                ('time', ),
                pd.date_range('1999-01-01', '1999-05-01', freq='M').values)}
        return variables, coords 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def _get_variable_point(vname, mask_override):
    # fix for https://github.com/MITgcm/xmitgcm/issues/191
    if vname in mask_override:
        return mask_override[vname]
    dims = _VAR_METADATA[vname]['dims']
    if 'i' in dims and 'j' in dims:
        point = 'c'
    elif 'i_g' in dims and 'j' in dims:
        point = 'w'
    elif 'i' in dims and 'j_g' in dims:
        point = 's'
    elif 'i_g' in dims and 'j_g' in dims:
        raise ValueError("Don't have masks for corner points!")
    else:
        raise ValueError("Variable `%s` is not a horizontal variable." % vname)
    return point 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def read_data(data_handle, domain=None, is_worker=False,
              start=None, stop=None, calendar='standard',
              var_dict=None) -> xr.Dataset:
    """Read data directly from an xarray dataset"""
    varlist = list(data_handle.keys())
    if var_dict is not None:
        data_handle = data_handle.rename(var_dict)
        varlist = list(var_dict.values())
    data_handle = data_handle[varlist]

    if start is not None and stop is not None:
        data_handle = data_handle.sel(time=slice(start, stop))
        dates = data_handle.indexes['time']
        data_handle['day_of_year'] = xr.Variable(('time', ), dates.dayofyear)

    return data_handle 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def get_variables(self):
        def load(band):
            band = ds.GetRasterBand(band)
            a = band.ReadAsArray()
            no_data = band.GetNoDataValue()
            if no_data is not None:
                try:
                    a[a == no_data] = a.dtype.type(nan)
                except ValueError:
                    pass
            return a
        ds = self.ds
        dims = ['lat', 'lon']
        chunks = ((ds.RasterYSize,), (ds.RasterXSize,))
        shape = (ds.RasterYSize, ds.RasterXSize)
        variables = OrderedDict()
        for iband in range(1, ds.RasterCount+1):
            band = ds.GetRasterBand(iband)
            dt = dtype(gdal_array.codes[band.DataType])
            if with_dask:
                dsk = {('x', 0, 0): (load, iband)}
                arr = Array(dsk, 'x', chunks, shape=shape, dtype=dt)
            else:
                arr = load(iband)
            attrs = band.GetMetadata_Dict()
            try:
                dt.type(nan)
                attrs['_FillValue'] = nan
            except ValueError:
                no_data = band.GetNoDataValue()
                attrs.update({'_FillValue': no_data} if no_data else {})
            variables['Band%i' % iband] = Variable(dims, arr, attrs)
        variables['lat'], variables['lon'] = self._load_GeoTransform()
        return FrozenOrderedDict(variables) 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def get_index_from_coord(coord, base_index):
    """Function to return the coordinate as integer, integer array or slice

    If `coord` is zero-dimensional, the corresponding integer in `base_index`
    will be supplied. Otherwise it is first tried to return a slice, if that
    does not work an integer array with the corresponding indices is returned.

    Parameters
    ----------
    coord: xarray.Coordinate or xarray.Variable
        Coordinate to convert
    base_index: pandas.Index
        The base index from which the `coord` was extracted

    Returns
    -------
    int, array of ints or slice
        The indexer that can be used to access the `coord` in the
        `base_index`
    """
    try:
        values = coord.values
    except AttributeError:
        values = coord
    if values.ndim == 0:
        return base_index.get_loc(values[()])
    if len(values) == len(base_index) and (values == base_index).all():
        return slice(None)
    values = np.array(list(map(lambda i: base_index.get_loc(i), values)))
    return to_slice(values) or values


#: mapping that translates datetime format strings to regex patterns 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def to_netcdf(ds, *args, **kwargs):
    """
    Store the given dataset as a netCDF file

    This functions works essentially the same as the usual
    :meth:`xarray.Dataset.to_netcdf` method but can also encode absolute time
    units

    Parameters
    ----------
    ds: xarray.Dataset
        The dataset to store
    %(xarray.Dataset.to_netcdf.parameters)s
    """
    to_update = {}
    for v, obj in six.iteritems(ds.variables):
        units = obj.attrs.get('units', obj.encoding.get('units', None))
        if units == 'day as %Y%m%d.%f' and np.issubdtype(
                obj.dtype, np.datetime64):
            to_update[v] = xr.Variable(
                obj.dims, AbsoluteTimeEncoder(obj), attrs=obj.attrs.copy(),
                encoding=obj.encoding)
            to_update[v].attrs['units'] = units
    if to_update:
        ds = ds.copy()
        ds.update(to_update)
    return xarray_api.to_netcdf(ds, *args, **kwargs) 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def get_x(self, var, coords=None):
        """
        Get the x-coordinate of a variable

        This method searches for the x-coordinate in the :attr:`ds`. It first
        checks whether there is one dimension that holds an ``'axis'``
        attribute with 'X', otherwise it looks whether there is an intersection
        between the :attr:`x` attribute and the variables dimensions, otherwise
        it returns the coordinate corresponding to the last dimension of `var`

        Possible types
        --------------
        var: xarray.Variable
            The variable to get the x-coordinate for
        coords: dict
            Coordinates to use. If None, the coordinates of the dataset in the
            :attr:`ds` attribute are used.

        Returns
        -------
        xarray.Coordinate or None
            The y-coordinate or None if it could be found"""
        coords = coords or self.ds.coords
        coord = self.get_variable_by_axis(var, 'x', coords)
        if coord is not None:
            return coord
        return coords.get(self.get_xname(var)) 

# 需要導入模塊: import xarray [as 別名]
# 或者: from xarray import Variable [as 別名]
def get_y(self, var, coords=None):
        """
        Get the y-coordinate of a variable

        This method searches for the y-coordinate in the :attr:`ds`. It first
        checks whether there is one dimension that holds an ``'axis'``
        attribute with 'Y', otherwise it looks whether there is an intersection
        between the :attr:`y` attribute and the variables dimensions, otherwise
        it returns the coordinate corresponding to the second last dimension of
        `var` (or the last if the dimension of var is one-dimensional)

        Possible types
        --------------
        var: xarray.Variable
            The variable to get the y-coordinate for
        coords: dict
            Coordinates to use. If None, the coordinates of the dataset in the
            :attr:`ds` attribute are used.

        Returns
        -------
        xarray.Coordinate or None
            The y-coordinate or None if it could be found"""
        coords = coords or self.ds.coords
        coord = self.get_variable_by_axis(var, 'y', coords)
        if coord is not None:
            return coord
        return coords.get(self.get_yname(var))