Numpy array for each level property permute_axes Physical size of each element for each level property flip_axes Forįor multi-dimensional data this is an array of element sizes, else an array with a single The order is defined by the ‘dimension_order’ field. volume) dataĮlement_sizes – Physical size of an element for each level. With a single numpy array for other (e.g. Levels – array of numpy arrays with the data for each level for multi-dimensional data, an array _init_(self: ._viz.Array, levels: List, dimension_order: str = ‘’, permute_axes: List =, flip_axes: List =, element_sizes: List] = ) -> NoneĬonstruct an array holding multi-dimensional data. ForĮlements which have no physical size like ‘M’ or ‘T’ the corresponding value is 1.0. to swap x and y of a 3-dimensionalĮlement_size – Physical size of each element, the order is defined by the ‘dimension_order’ field. Permute_axes – Permutes the given data axes, e.g. Either one of the data element definitionĬharacters ‘C’, ‘D’ or ‘M’ and the ‘X’ axis definition has to be present.
Is defined as ‘CXY’, a time sequence of density volumes is defined asĮach character can occur only once. _init_(self: ._viz.Array, array: numpy.ndarray, dimension_order: str = ‘’, permute_axes: List =, flip_axes: List =, element_size: List = ) -> Noneĭimension_order – a string defining the data organization and format.Įach character defines a dimension starting with the fastest varying axisĪnd ending with the slowest varying axis. Clara-viz-core: Core functionality for Clara Viz.
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