collada.source.FloatSource

class collada.source.FloatSource(id, data, components, xmlnode=None)

Bases: collada.source.Source

Contains a source array of floats, as defined in the collada <float_array> inside a <source>.

If f is an instance of collada.source.FloatSource, then len(f) is the length of the shaped source. len(f)*len(f.components) would give you the number of values in the source. f[i] is the i^th item in the source array.

__init__(id, data, components, xmlnode=None)

Create a float source instance.

Parameters:

• id (str) – A unique string identifier for the source
• data (numpy.array) – Numpy array (unshaped) with the source values
• components (tuple) – Tuple of strings describing the semantic of the data, e.g. ('X','Y','Z') would cause data to be reshaped as (-1, 3)
• xmlnode – When loaded, the xmlnode it comes from.

Methods

__init__(id, data, components[, xmlnode])	Create a float source instance.
load(collada, localscope, node)	Load and return a class instance from an XML node.
save()	Saves the source back to xmlnode

id = None

The unique string identifier for the source

data = None

Numpy array with the source values. This will be shaped as (-1,N) where N = len(self.components)

components = None

Tuple of strings describing the semantic of the data, e.g. ('X','Y','Z')

xmlnode = None

ElementTree representation of the source.

save()

Saves the source back to xmlnode

static load(collada, localscope, node)

Load and return a class instance from an XML node.

Inspect the data inside node, which must match this class tag and create an instance out of it.

Parameters:

• collada (collada.Collada) – The collada file object where this object lives
• localscope (dict) – If there is a local scope where we should look for local ids (sid) this is the dictionary. Otherwise empty dict ({})
• node – An Element from python’s ElementTree API