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