add_heatmap¶
- Subplot.add_heatmap(data, vmin=None, vmax=None, cmap='plasma', filter='nearest', chunk_size=8192, isolated_buffer=True, *args, **kwargs)¶
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]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 data
filter (str, optional, default "nearest") – interpolation filter, one of “nearest” or “linear”
chunk_size (int, default 8192, max 8192) – chunk size for each tile used to make up the heatmap texture
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
- Return type:
Features
- data:
HeatmapDataFeature Manages the data buffer displayed in the HeatmapGraphic
- cmap:
HeatmapCmapFeature Manages the colormap
- present:
PresentFeature Control the presence of the Graphic in the scene