diff --git a/src/napari_clusters_plotter/__init__.py b/src/napari_clusters_plotter/__init__.py index 1f42acdf..cdd89972 100644 --- a/src/napari_clusters_plotter/__init__.py +++ b/src/napari_clusters_plotter/__init__.py @@ -5,11 +5,12 @@ DimensionalityReductionWidget, ) from ._new_plotter_widget import PlotterWidget -from ._sample_data import bbbc_1_dataset +from ._sample_data import bbbc_1_dataset, cells3d_curvatures __all__ = [ "PlotterWidget", "DimensionalityReductionWidget", "ClusteringWidget", "bbbc_1_dataset", + "cells3d_curvatures", ] diff --git a/src/napari_clusters_plotter/_sample_data.py b/src/napari_clusters_plotter/_sample_data.py index 32da011e..02a29a38 100644 --- a/src/napari_clusters_plotter/_sample_data.py +++ b/src/napari_clusters_plotter/_sample_data.py @@ -58,3 +58,38 @@ def bbbc_1_dataset() -> List["LayerData"]: # noqa: F821 labels_layers.append(ldtuple_labels) return image_layers + labels_layers + + +def cells3d_curvatures() -> List["LayerData"]: # noqa: F821 + import numpy as np + import pandas as pd + from skimage import io + + path = Path(__file__).parent / "sample_data" / "cells3d" + + # load data + vertices = np.loadtxt(path / "vertices.txt") + faces = np.loadtxt(path / "faces.txt").astype(int) + hks = pd.read_csv(path / "signature.csv") + nuclei = io.imread(path / "nucleus.tif") + + # create layer data tuples + layer_data_surface = [ + (vertices, faces), + { + "name": "cells_3d_heat_kernel_signature", + "features": hks, + }, + "surface", + ] + + layer_data_nuclei = ( + nuclei, + { + "name": "cells_3d_nucleus", + "colormap": "gray", + }, + "image", + ) + + return [layer_data_nuclei, layer_data_surface] diff --git a/src/napari_clusters_plotter/_tests/test_sample_data.py b/src/napari_clusters_plotter/_tests/test_sample_data.py index f7c7e1eb..51d39e35 100644 --- a/src/napari_clusters_plotter/_tests/test_sample_data.py +++ b/src/napari_clusters_plotter/_tests/test_sample_data.py @@ -1,11 +1,24 @@ -def test_sample_data(make_napari_viewer): - from napari.layers import Layer +import pytest + +from napari_clusters_plotter._sample_data import ( + bbbc_1_dataset, + cells3d_curvatures, +) - import napari_clusters_plotter as ncp + +@pytest.mark.parametrize( + "sample_data_function", + [ + bbbc_1_dataset, + cells3d_curvatures, + ], +) +def test_bbbc_1_sample_data(make_napari_viewer, sample_data_function): + from napari.layers import Layer viewer = make_napari_viewer() - sample_dataset = ncp.bbbc_1_dataset() + sample_dataset = sample_data_function() for sample in sample_dataset: layer = Layer.create(sample[0], sample[1], sample[2]) viewer.add_layer(layer) diff --git a/src/napari_clusters_plotter/napari.yaml b/src/napari_clusters_plotter/napari.yaml index fc36743b..c929390d 100644 --- a/src/napari_clusters_plotter/napari.yaml +++ b/src/napari_clusters_plotter/napari.yaml @@ -17,6 +17,9 @@ contributions: - id: napari-clusters-plotter.bbbc_sample_data python_name: napari_clusters_plotter:bbbc_1_dataset title: Load bbbc sample data + - 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