fastplotlib.ImageGraphic¶

class ImageGraphic(data, vmin=None, vmax=None, cmap='plasma', filter='nearest', isolated_buffer=True, *args, **kwargs)[source]¶

Create an Image Graphic

Parameters:

  • data (array-like) – array-like, usually numpy.ndarray, must support memoryview() Tensorflow Tensors also work probably, but not thoroughly tested | shape must be [x_dim, y_dim] or [x_dim, y_dim, rgb]

  • vmin (int, optional) – minimum value for color scaling, calculated from data if not provided

  • vmax (int, optional) – maximum value for color scaling, calculated from data if not provided

  • cmap (str, optional, default "plasma") – colormap to use to display the image data, ignored if data is RGB

  • filter (str, optional, default "nearest") – interpolation filter, one of “nearest” or “linear”

  • isolated_buffer (bool, default True) – If True, initialize a buffer with the same shape as the input data and then set the data, useful if the data arrays are ready-only such as memmaps. If False, the input array is itself used as the buffer.

  • args – additional arguments passed to Graphic

  • kwargs – additional keyword arguments passed to Graphic

Features

data: ImageDataFeature

Manages the data buffer displayed in the ImageGraphic

cmap: ImageCmapFeature

Manages the colormap

present: PresentFeature

Control the presence of the Graphic in the scene