Lifemap.layer_heatmap

Lifemap.layer_heatmap(
    data=None,
    *,
    taxid_col='taxid',
    radius=5.0,
    blur=5.0,
    opacity=1.0,
    gradient=('#4675ed', '#39a2fc', '#1bcfd4', '#24eca6', '#61fc6c', '#a4fc3b', '#d1e834', '#f3363a'),
)

Add an 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 5.0	5.0
blur	float	Heatmap blur, by default 5.0	5.0
opacity	float	Heatmap opacity as a floating number between 0 and 1, by default 1.0	1.0
gradient	tuple	Tuple of CSS colors to define the heatmap gradient. By default gradient inspired from the “turbo” color ramp.	('#4675ed', '#39a2fc', '#1bcfd4', '#24eca6', '#61fc6c', '#a4fc3b', '#d1e834', '#f3363a')

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().show()