Lifemap.layer_points
Lifemap.layer_points(leaves='show', radius=None, radius_col=None, fill_col=None, fill_col_cat=None, scheme=None, opacity=0.8, popup=False, label=None)
Add a points layer.
It can be used to display leaves values, or aggregated counts or values already computed or generated by aggregate_num or aggregate_count.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
leaves |
Literal["show", "only", "omit"] | If "only", only show tree leaves. If "omit", only show nodes that are not leaves. If "show", show all nodes, by default “show” |
'show' |
radius |
float | None | Base points radius, by default None | None |
radius_col |
str | None | Name of a numeric DataFrame column to compute points radius, by default None | None |
fill_col |
str | None | Name of a DataFrame column to determine points color, by default None | None |
fill_col_cat |
bool | None | If True, force color scheme to be categorical. If False, force it to be continuous. If None, let pylifemap decide, by default None | None |
scheme |
str | None | Color scheme for points color. If fill_col is defined, it is the name of an Observable Plot color scale. Otherwise, it is an hexadecimal color value, by default None |
None |
opacity |
float | None | Points opacity as a floating number between 0 and 1, by default 0.8 | 0.8 |
popup |
bool | None | If True, display informations in a popup when a point is clicked, by default False | False |
label |
str | None | Legend title for this layer if fill_col is defined. If None, the value of fill_col is used. |
None |
Returns
| Type | Description |
|---|---|
| Lifemap | A Lifemap visualization object. |
Raises
| Type | Description |
|---|---|
| ValueError | If leaves is not one of the allowed values. |
Examples
>>> import polars as pl
>>> from pylifemap import Lifemap
>>> d = pl.DataFrame({
... "taxid": [9685, 9615, 9994, 2467430, 2514524, 2038938, 1021470, 1415565, 1928562, 1397240, 230741],
... "value": [ 7.4, 2.5, 8.3, 1.0, 1.4, 5.6, 4.6, 3.4, 2.3, 2.8, 3.1]
... })
>>> (
... Lifemap(d)
... .layer_points(radius_col="value", fill_col="value", popup=True)
... .show()
... )See Also
aggregate_num : aggregation of a numeric variable.
aggregate_count : aggregation of the number of observations.