tidy3d.ScalarFieldTimeData

class tidy3d.ScalarFieldTimeData

stores a single scalar field in time domain

Parameters

• values (Array) – Multi-dimensional array storing the raw scalar field values in time domain.

• data_attrs (Optional[Mapping[str, str]] = None) – Dictionary storing extra attributes associated with the monitor data.

• t (Array) – [units = sec]. Array of time values to use as coordintes.

• x (Array) – [units = um]. Array of x location values to use as coordintes.

• y (Array) – [units = um]. Array of y location values to use as coordintes.

• z (Array) – [units = um]. Array of z location values to use as coordintes.

Example

>>> t = np.linspace(0, 1e-12, 1001)
>>> x = np.linspace(-1, 1, 10)
>>> y = np.linspace(-2, 2, 20)
>>> z = np.linspace(0, 0, 1)
>>> values = np.random.random((len(x), len(y), len(z), len(t)))
>>> data = ScalarFieldTimeData(values=values, x=x, y=y, z=z, t=t)

Show JSON schema

{
   "title": "ScalarFieldTimeData",
   "description": "stores a single scalar field in time domain\n\nParameters\n----------\nvalues : Array\n    Multi-dimensional array storing the raw scalar field values in time domain.\ndata_attrs : Optional[Mapping[str, str]] = None\n    Dictionary storing extra attributes associated with the monitor data.\nt : Array\n    [units = sec].  Array of time values to use as coordintes.\nx : Array\n    [units = um].  Array of x location values to use as coordintes.\ny : Array\n    [units = um].  Array of y location values to use as coordintes.\nz : Array\n    [units = um].  Array of z location values to use as coordintes.\n\nExample\n-------\n>>> t = np.linspace(0, 1e-12, 1001)\n>>> x = np.linspace(-1, 1, 10)\n>>> y = np.linspace(-2, 2, 20)\n>>> z = np.linspace(0, 0, 1)\n>>> values = np.random.random((len(x), len(y), len(z), len(t)))\n>>> data = ScalarFieldTimeData(values=values, x=x, y=y, z=z, t=t)",
   "type": "object",
   "properties": {
      "type": {
         "title": "Type",
         "default": "ScalarFieldTimeData",
         "enum": [
            "ScalarFieldTimeData"
         ],
         "type": "string"
      },
      "values": {
         "title": "NumpyArray",
         "description": "Wrapper around numpy arrays that has a well defined json schema.",
         "type": "object",
         "properties": {
            "data_list": {
               "title": "Data List",
               "type": "array",
               "items": {}
            }
         },
         "required": [
            "data_list"
         ]
      },
      "data_attrs": {
         "title": "Data Attributes",
         "description": "Dictionary storing extra attributes associated with the monitor data.",
         "type": "object",
         "additionalProperties": {
            "type": "string"
         }
      },
      "t": {
         "title": "NumpyArray",
         "description": "Wrapper around numpy arrays that has a well defined json schema.",
         "units": "sec",
         "type": "object",
         "properties": {
            "data_list": {
               "title": "Data List",
               "type": "array",
               "items": {}
            }
         },
         "required": [
            "data_list"
         ]
      },
      "x": {
         "title": "NumpyArray",
         "description": "Wrapper around numpy arrays that has a well defined json schema.",
         "units": "um",
         "type": "object",
         "properties": {
            "data_list": {
               "title": "Data List",
               "type": "array",
               "items": {}
            }
         },
         "required": [
            "data_list"
         ]
      },
      "y": {
         "title": "NumpyArray",
         "description": "Wrapper around numpy arrays that has a well defined json schema.",
         "units": "um",
         "type": "object",
         "properties": {
            "data_list": {
               "title": "Data List",
               "type": "array",
               "items": {}
            }
         },
         "required": [
            "data_list"
         ]
      },
      "z": {
         "title": "NumpyArray",
         "description": "Wrapper around numpy arrays that has a well defined json schema.",
         "units": "um",
         "type": "object",
         "properties": {
            "data_list": {
               "title": "Data List",
               "type": "array",
               "items": {}
            }
         },
         "required": [
            "data_list"
         ]
      }
   },
   "required": [
      "values",
      "t",
      "x",
      "y",
      "z"
   ]
}

Fields

• values (tidy3d.components.types.Array)

attribute values: tidy3d.components.types.Array [Required]

Multi-dimensional array storing the raw scalar field values in time domain.

Constraints

• title = NumpyArray

• description = Wrapper around numpy arrays that has a well defined json schema.

• type = object

• properties = {‘data_list’: {‘title’: ‘Data List’, ‘type’: ‘array’, ‘items’: {}}}

• required = [‘data_list’]