vispy.io.datasets module

vispy.io.datasets.load_crate()

Load an image of a crate

Returns

cratearray

256x256x3 crate image.

vispy.io.datasets.load_iris()

Load the iris dataset

Returns

irisNpzFile

data[‘data’] : a (150, 4) NumPy array with the iris’ features data[‘group’] : a (150,) NumPy array with the iris’ group

vispy.io.datasets.load_spatial_filters(packed=True)

Load spatial-filters kernel

Parameters

packedbool

Whether or not the data should be in “packed” representation for use in GLSL code.

Returns

kernelarray

16x1024x4 (packed float in rgba) or 16x1024 (unpacked float) 16 interpolation kernel with length 1024 each.

namestuple of strings

Respective interpolation names, plus “Nearest” which does not require a filter but can still be used

vispy.io.datasets.pack_ieee(value)

Packs float ieee binary representation into 4 unsigned int8

Returns

pack: array

packed interpolation kernel

vispy.io.datasets.pack_unit(value)

Packs float values between [0,1] into 4 unsigned int8

Returns

pack: array

packed interpolation kernel

vispy.io.tests.test_io module vispy.io.image module