Model.plot_voronoi¶
In [ ]:
Model.plot_voronoi(max_nb_points: int = 50,
plot_crosses: bool = True,
ax=None,
**style_kwds,)
Draws the Voronoi Graph of the model.
Parameters¶
| Name | Type | Optional | Description |
|---|---|---|---|
max_nb_points | int | ✓ | Maximum number of points to display. |
plot_crosses | bool | ✓ | If set to True, the centers are represented by white crosses. |
ax | Matplotlib axes object | ✓ | The axes to plot on. |
**style_kwds | any | ✓ | Any optional parameter to pass to the Matplotlib functions. |
Returns¶
ax : Matplotlib axes object
Example¶
In [10]:
from verticapy.learn.cluster import KMeans
model = KMeans(name = "public.KMeans_iris")
model.drop()
model.fit("public.iris",
["PetalLengthCm", "PetalWidthCm"],)
# with data points
model.plot_voronoi()
Out[10]:
In [18]:
# without crosses
model.plot_voronoi(max_nb_points = 1000, plot_crosses=False)
Out[18]:
In [11]:
# without data points
model.plot_voronoi(max_nb_points = 0)
Out[11]:
