Feature Request: Option to Plot Highest Absolute Values on Top in sc.pl.umap

Description

Currently, sc.pl.umap provides an option to plot cells with higher values on top using an internal sorting step (np.argsort). However, for some use cases, it’s desirable to plot cells with the highest absolute values on top to highlight both large positive and large negative values in continuous color mappings.

Proposed Solution

Add a new option, such as sort_order='abs', to plot the highest absolute values on top, while preserving the original behavior as the default.

Example

Here’s how the option could be used in practice:

sc.pl.umap(adata, color='example_feature', cmap='coolwarm', sort_order='abs')

With this feature, cells with the largest magnitudes (either positive or negative) would be displayed on top, making them more visually prominent when using diverging color maps.

Suggested Implementation

scanpy/source/scanpy/plotting/_tools/scatterplots.py - line 293-295

Instead of

if sort_order and value_to_plot is not None and color_type == "cont":
    # Higher values plotted on top, null values on bottom
    order = np.argsort(-color_vector, kind="stable")[::-1]

I suggest

if sort_order and value_to_plot is not None and color_type == "cont":
    if sort_order == "abs":
        order = np.argsort(-np.abs(color_vector), kind="stable")[::-1]
    else:
        order = np.argsort(-color_vector, kind="stable")[::-1]

Thank you.

Start with sc.pl.umap and the sorting logic in src/scanpy/plotting/_tools/scatterplots.py around lines 293-295. Check how sort_order is handled for continuous color values; the work is done when an abs option plots the largest positive or negative magnitudes on top while the existing default behavior remains unchanged.