Lifemap.layer_heatmap_deck

Lifemap.layer_heatmap_deck(
    data=None,
    *,
    taxid_col='taxid',
    radius=30,
    intensity=5,
    threshold=0.05,
    opacity=0.5,
    color_range=None,
)

Add a deck.gl heatmap layer.

This layer is used to display observations distribution.

Parameters

Name	Type	Description	Default
data	`pl`.`DataFrame` \| `pd`.`DataFrame` \| None	Layer data. If not provided, use the base widget data.	`None`
taxid_col	str	If `data` is provided, name of the `data` column with taxonomy ids, by default `"taxid"`	`'taxid'`
radius	float	Heatmap radius, by default 30	`30`
intensity	float	Heatmap intensity, by default 5	`5`
threshold	float	Heatmap threshold, by default 0.05	`0.05`
opacity	float	Heatmap opacity as a floating number between 0 and 1, by default 0.5	`0.5`
color_range	list \| None	List of colors to define a custom color gradient.	`None`

Returns

Name	Type	Description
	Lifemap	A Lifemap visualization object.

Examples

>>> import polars as pl
>>> from pylifemap import Lifemap
>>> d = pl.DataFrame(
...     {
...         "taxid": [
...             9685,
...             9615,
...             9994,
...             2467430,
...             2514524,
...             2038938,
...             1021470,
...             1415565,
...             1928562,
...             1397240,
...             230741,
...         ],
...     }
... )
>>> Lifemap(d).layer_heatmap_deck().show()