diff --git a/fastplotlib/utils/functions.py b/fastplotlib/utils/functions.py
index e775288d..87d764e4 100644
--- a/fastplotlib/utils/functions.py
+++ b/fastplotlib/utils/functions.py
@@ -406,7 +406,9 @@ def parse_cmap_values(
return colors
-def subsample_array(arr: np.ndarray, max_size: int = 1e6):
+def subsample_array(
+ arr: np.ndarray, max_size: int = 1e6, ignore_dims: Sequence[int] | None = None
+):
"""
Subsamples an input array while preserving its relative dimensional proportions.
@@ -444,6 +446,10 @@ def subsample_array(arr: np.ndarray, max_size: int = 1e6):
max_size: int, default 1e6
maximum number of elements in subsampled array
+ ignore_dims: Sequence[int], optional
+ List of dimension indices to exclude from subsampling (i.e. retain full resolution).
+ For example, `ignore_dims=[0]` will avoid subsampling along the first axis.
+
Returns
-------
np.ndarray
@@ -462,4 +468,12 @@ def subsample_array(arr: np.ndarray, max_size: int = 1e6):
slices = tuple(
slice(None, None, int(s)) for s in np.floor(arr.shape / ns).astype(int)
)
+
+ # ignore dims e.g. RGB, which we don't want to downsample
+ if ignore_dims is not None:
+ for dim in ignore_dims:
+ slices[dim] = slice(None)
+
+ slices = tuple(slices)
+
return np.asarray(arr[slices])
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