Merge branch 'add-vectors-sample-data' of https://github.com/jo-mueller/napari-clusters-plotter into add-vectors-sample-data

Author: jo-mueller

src/napari_clusters_plotter/__init__.py

@@ -11,9 +11,9 @@
 from ._sample_data import (
     bbbc_1_dataset,
     cells3d_curvatures,
+    granule_compression_vectors,
     skan_skeleton,
     tgmm_mini_dataset,
-    granule_compression_vectors
 )
 
 __all__ = [

src/napari_clusters_plotter/_sample_data.py

@@ -207,19 +207,20 @@ def cells3d_curvatures() -> List["LayerData"]:  # noqa: F821
 
 
 def granule_compression_vectors() -> List["LayerData"]:  # noqa: F821
-    import pandas as pd
     import numpy as np
+    import pandas as pd
     from napari.utils import notifications
+
     path = Path(__file__).parent / "sample_data" / "compression_vectors"
 
     features = pd.read_csv(path / "granular_compression_test.csv")
-    features['iterations'] = features['iterations'].astype('category')
-    features['returnStatus'] = features['returnStatus'].astype('category')
-    features['Label'] = features['Label'].astype('category')
-    features.drop(columns=['PSCC'], inplace=True)
+    features["iterations"] = features["iterations"].astype("category")
+    features["returnStatus"] = features["returnStatus"].astype("category")
+    features["Label"] = features["Label"].astype("category")
+    features.drop(columns=["PSCC"], inplace=True)
 
-    points_4d = features[['frame', 'Zpos', 'Ypos', 'Xpos']].to_numpy()
-    vectors_4d = features[['frame', 'Zdisp', 'Ydisp', 'Xdisp']].to_numpy()
+    points_4d = features[["frame", "Zpos", "Ypos", "Xpos"]].to_numpy()
+    vectors_4d = features[["frame", "Zdisp", "Ydisp", "Xdisp"]].to_numpy()
     vectors_4d = np.stack([points_4d, vectors_4d], axis=1)
     vectors_4d[:, 1, 0] = 0
 
@@ -237,4 +238,3 @@ def granule_compression_vectors() -> List["LayerData"]:  # noqa: F821
     )
 
     return [layerdata_vectors]
-    

src/napari_clusters_plotter/sample_data/compression_vectors/data_source.txt

@@ -1,7 +1,7 @@
 The data in this folder has been made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license on Zenodo: https://zenodo.org/records/17668709
 It can be cited under the DOI: https://doi.org/10.5281/zenodo.17668708
 
-Citation: 
+Citation:
 @dataset{ando_2025_17668709,
   author       = {Andò, Edward},
   title        = {M2EA05 analysis results from spam},
@@ -10,4 +10,4 @@ Citation:
   publisher    = {Zenodo},
   doi          = {10.5281/zenodo.17668709},
   url          = {https://doi.org/10.5281/zenodo.17668709},
-}
+}