PyJEM.eels.line

PyJEM.eels.line.create_count_line(dataset_id)

Create a count line for the given target graph data set ID.

Parameters:

dataset_id (str) – The ID of the target graph data set. Must be a valid GUID string.

Returns:

The returned value is a dictionary. A description of each item is provided below.

key	type	value
Ids	list[str]	List of UUIDs representing the created count line segments.

Return type:

dict

Examples

>>> create_count_line("741472dd-a29a-43f5-b1bc-aecf4f4fe6ab")
{
    "Ids": [
        "c38434ff-20f9-4f8d-88ac-3e3792d06209",
        "996102c7-8101-4e67-bb4c-0b37a33a8e74"
    ]
}

PyJEM.eels.line.create_quantitative_line(dataset_id, param)

Create a quantitative line for the given target graph data set ID.

Parameters:

• dataset_id (str) – The ID of the target graph data set. Must be a valid GUID string.

• param (dict) –

  Quantitative line creation parameters.

  key	type	value
  Config	dict	Configuration parameters. ⇒ See Config items.

  Config items

  key	type	value
  AccelarationVoltage	float	Acceleration voltage value. Example: 1
  CoreLossCrossSection	int	Core loss cross section value. Example: 0
  CorrectionAngle	float	Correction angle value. Example: 1
  IsUseZlp	bool	Whether to use zero-loss peak. Example: False
  Spectrum	dict	Spectrum selection parameters. ⇒ See Spectrum items.

  Spectrum items

  key	type	value
  Mode	str	Analysis mode. One of "SameSpectrum" or "AnotherSpectrum". Example: "SameSpectrum"
  Spectrum	str	Spectrum ID (GUID string). Example: "15b7caa0-88ed-4062-b52a-1de2699f8363"

Returns:

The returned value is a dictionary. A description of each item is provided below.

key	type	value
Ids	list[str]	List of unique identifier strings representing the created quantitative lines.

Return type:

dict

Examples

>>> param = {
...     "Config": {
...         "AccelarationVoltage": 1,
...         "CoreLossCrossSection": 0,
...         "CorrectionAngle": 1,
...         "IsUseZlp": False,
...         "Spectrum": {
...             "Mode": "SameSpectrum",
...             "Spectrum": "15b7caa0-88ed-4062-b52a-1de2699f8363"
...         }
...     }
... }
>>> create_quantitative_line("00000000-0000-0000-0000-000000000000", param)
{
    "Ids": [
        "c38434ff-20f9-4f8d-88ac-3e3792d06209",
        "730b6e97-ca6a-454e-bc43-6013cddc84f9"
    ]
}

PyJEM.eels.line.create_thickness_line(dataset_id)

Create a thickness line for the given target graph data set ID.

Parameters:

dataset_id (str) – The ID of the target graph data set. Must be a valid GUID string.

Returns:

The returned value is a dictionary. A description of each item is provided below.

key	type	value
Ids	list[str]	List of UUIDs representing the created thickness line segments.

Return type:

dict

Examples

>>> create_thickness_line("00000000-0000-0000-0000-000000000000")
{
    "Ids": [
        "c38434ff-20f9-4f8d-88ac-3e3792d06209",
        "8c7c56dc-9df3-40b8-8f4d-a1a19d03b3ae"
    ]
}

PyJEM.eels.line.create_line_whole_spectrum(dataset_id)

Create a line whole spectrum for the given target image data set ID.

Parameters:

dataset_id (str) – The ID of the target graph data set. Must be a valid GUID string.

Returns:

The returned value is a dictionary. A description of each item is provided below.

key	type	value
Ids	list[str]	List of UUIDs representing the created spectrum line segments.

Return type:

dict

Examples

>>> create_line_whole_spectrum("61a503b1-5f3a-4604-a1f3-303aede9ad49")
{
    "Ids": [
        "6b867b00-2c90-4f04-89c7-c4c9655b7b8d",
        "11844c1f-51e5-414f-a4c6-412638577728"
    ]
}