Matrix

Most 2D numpy arrays can be visualized in Scripton using the multi-purpose show function. For color-mapped matrices, it takes the following concrete form:

def show(
    # The matrix to visualize.
    matrix: numpy.ndarray,

    # An optional title displayed above the visualization.
    title: str | None = None,

    # The [case-insensitive] name of a colormap (eg: 'turbo')
    # See the IDE for a list of available colormaps.
    colormap: str | None = None
):
    ...

Here's an example visualizing a (837, 837) matrix:

from scripton import show
import numpy as np

dist_matrix = np.load('AlphaFold-Q5VSL9-F1-model_v4_distance_map.npy')
show(dist_matrix, title='Striatin-interacting protein 1')

Visualization of a (837, 837) colormapped NumPy array

You can hover over the visualization to view the raw data values (as shown in the screenshot above).
You can easily switch the colormap on-the-fly using the toolbar button.
The extremes of the source data (min/max) map to the extremes of the colormap. Consequently, any two colormapped visualizations are not directly comparable unless they're pre-normalized to the same range.
Smoothing is disabled by default for matrices — zooming in uses nearest neighbor interpolation.