pingwyn.graph.Image

class pingwyn.graph.Image(arr, metadata={})

Bases: ndarray

A container for an image.

This class extends numpy.ndarray, meaning that the image data can be accessed as if it were a numpy array. The metadata attribute houses additional information for the physical experiment that was performed.

An Image object has a NxM shape, where N is the amount of rows (i.e. y-axis) and M is the amount of columns (i.e. x-axis) the image is made up of. Please take care of the difference between x,y-indexing generally used in computer graphics and the matrix i,j-indexing we use here.

metadata

A dictionary containing relevant metadata, such as setpoints, channel name, units and scan direction.

Type:

dict

__init__(*args: Any, **kwargs: Any) → None

Methods

filter_referenced_curves(curves)

Filter curves that refer to this image.

Attributes

height	Height of image in units of image.metadata["size"].
metadata
size_per_pixel	pixel width and pixel height of this image.
width	Width of image in units of image.metadata["size"].

filter_referenced_curves(curves)

Filter curves that refer to this image.

Parameters:

curves (list of pingwyn.Curve or tuple of pingwyn.Curve)

Returns:

Curves that refer to this image in their metadata.

Return type:

list of pingwyn.Curve

property height

Height of image in units of image.metadata[“size”].

Type:

float

property size_per_pixel

pixel width and pixel height of this image. Has units of image.metadata[“size”].

Type:

float, float

property width

Width of image in units of image.metadata[“size”].

Type:

float