pytomoatt.attarray¶
Submodule of xarray.Dataset for handling array data, which can be generated from pytomoatt.module.ATTModel.to_array and pytomoatt.data.ATTData.to_array.
- class pytomoatt.attarray.Dataset(data_vars, coords, attrs=None)[source]¶
Bases:
DatasetSub class of xarray.Dataset
- interp_dep(depth: float, field: str, samp_interval: int | Sequence[int] = 0, rotate: Sequence[float] | None = None) ndarray[source]¶
Interpolate map view with given depth
- Parameters:
depth (float) – Depth in km
field (str) – Field name in ATT model data
samp_interval (int or sequence of int, optional) – Sampling interval, defaults to 0. If a positive integer is provided, the same interval is used for both x/lon and y/lat directions. If a two-element sequence
[Nx, Ny]is provided,Nxis used for x/lon andNyis used for y/lat.rotate – Rotation parameters
[central_lat, central_lon, rotation_angle]in degrees.central_latandcentral_lonare physical coordinates. When provided, returned longitudes and latitudes are converted to physical coordinates. Defaults to None.
- Returns:
xyz data with 3 columns [lon, lat, value]
- Return type:
numpy.ndarray
- interp_sec(start_point: Sequence[float], end_point: Sequence[float], field: str, val: float = 10.0, flat_earth: bool = False, rotate: Sequence[float] | None = None, section_coord_type: Literal['cal', 'phy'] = 'cal', output_coord_type: Literal['cal', 'phy'] = 'cal') ndarray[source]¶
Interpolate value along a cross section
- Parameters:
start_point (list or tuple) – start point with [lon1, lat1]
end_point (list or tuple) – end points with [lon2, lat2]
field (str) – Field name in ATT model data
val (float) – interval between successive points in km
flat_earth (bool, optional) – whether to use flat earth model, defaults to False
rotate – Rotation parameters
[central_lat, central_lon, rotation_angle]in degrees.central_latandcentral_lonare physical coordinates. Defaults to None.section_coord_type (str, optional) – Coordinate type of
start_pointandend_point. Use “cal” for TomoATT computational coordinates or “phy” for physical coordinates. Defaults to “cal”.output_coord_type (str, optional) – Coordinate type of longitude and latitude in the returned array. Use “cal” for TomoATT computational coordinates or “phy” for physical coordinates. Defaults to “cal”.
- Returns:
xyz data with 5 columns [lon, lat, dis, dep, value]
- Return type:
numpy.ndarray