Iris Scatter Colormap

Example showing cmap change for scatter plot.

/home/runner/work/fastplotlib/fastplotlib/fastplotlib/graphics/_features/_base.py:18: UserWarning: casting float64 array to float32
  warn(f"casting {array.dtype} array to float32")

# test_example = true

import fastplotlib as fpl
from sklearn.cluster import AgglomerativeClustering
from sklearn import datasets


figure = fpl.Figure(size=(700, 560))

data = datasets.load_iris()["data"]

agg = AgglomerativeClustering(n_clusters=3)
agg.fit_predict(data)

scatter_graphic = figure[0, 0].add_scatter(
    data=data[:, :-1],  # use only xy data
    sizes=15,
    alpha=0.7,
    cmap="Set1",
    cmap_transform=agg.labels_  # use the labels as a transform to map colors from the colormap
)

figure.show()

scatter_graphic.cmap = "tab10"


if __name__ == "__main__":
    print(__doc__)
    fpl.loop.run()