Iris Grouped Grid#
Most examples work across multiple plotting backends, this example is also available for:
import holoviews as hv from holoviews import opts hv.extension('matplotlib')
from bokeh.sampledata.iris import flowers from holoviews.operation import gridmatrix iris_ds = hv.Dataset(flowers).groupby('species').overlay()
density_grid = gridmatrix(iris_ds, diagonal_type=hv.Distribution, chart_type=hv.Bivariate) point_grid = gridmatrix(iris_ds, chart_type=hv.Points) (density_grid * point_grid).opts( opts.Bivariate(bandwidth=0.5, cmap=hv.Cycle(values=['Blues', 'Reds', 'Oranges'])), opts.Histogram(alpha=0.5), opts.Points(s=4))
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