[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

notebooks/demo_biological_data.ipynb

@@ -6,15 +6,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import glob\n",
-    "import pandas as pd\n",
-    "from pathlib import Path\n",
-    "import numpy as np\n",
-    "from skimage import io, measure\n",
     "\n",
     "import napari\n",
-    "import napari_clusters_plotter as ncp\n",
-    "import napari_segment_blobs_and_things_with_membranes as nsbatwm"
+    "\n",
+    "import napari_clusters_plotter as ncp"
    ]
   },
   {

notebooks/demo_cluster_export.ipynb

@@ -8,9 +8,12 @@
    "outputs": [],
    "source": [
     "import napari\n",
-    "from napari.layers import Points\n",
     "import numpy as np\n",
-    "from napari_clusters_plotter._new_plotter_widget import _export_cluster_to_layer, PlotterWidget"
+    "from napari.layers import Points\n",
+    "\n",
+    "from napari_clusters_plotter._new_plotter_widget import (\n",
+    "    PlotterWidget,\n",
+    ")"
    ]
   },
   {

notebooks/demo_new_plotter.ipynb

@@ -7,11 +7,11 @@
    "outputs": [],
    "source": [
     "import napari\n",
-    "from napari_clusters_plotter._new_plotter_widget import PlotterWidget\n",
-    "\n",
-    "from skimage import morphology, measure, data\n",
     "import numpy as np\n",
-    "import pandas as pd"
+    "import pandas as pd\n",
+    "from skimage import data, measure\n",
+    "\n",
+    "from napari_clusters_plotter._new_plotter_widget import PlotterWidget"
    ]
   },
   {

notebooks/demo_new_reduction.ipynb

@@ -6,16 +6,16 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from napari_clusters_plotter._new_plotter_widget import PlotterWidget\n",
-    "from napari_clusters_plotter._dim_reduction_and_clustering import DimensionalityReductionWidget, ClusteringWidget\n",
-    "from napari_clusters_plotter._algorithms import reduce_pca\n",
     "import napari\n",
     "import numpy as np\n",
+    "import pandas as pd\n",
     "from napari.layers import Points\n",
     "\n",
-    "from skimage import data, measure\n",
-    "\n",
-    "import pandas as pd"
+    "from napari_clusters_plotter._dim_reduction_and_clustering import (\n",
+    "                         ClusteringWidget,\n",
+    "                         DimensionalityReductionWidget,\n",
+    ")\n",
+    "from napari_clusters_plotter._new_plotter_widget import PlotterWidget"
    ]
   },
   {

notebooks/demo_shapes_clustering.ipynb

@@ -6,15 +6,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import glob\n",
-    "import pandas as pd\n",
-    "from pathlib import Path\n",
+    "import napari\n",
     "import numpy as np\n",
-    "from skimage import io, measure\n",
+    "import pandas as pd\n",
     "\n",
-    "import napari\n",
-    "import napari_clusters_plotter as ncp\n",
-    "import napari_segment_blobs_and_things_with_membranes as nsbatwm"
+    "import napari_clusters_plotter as ncp"
    ]
   },
   {
@@ -49,8 +45,8 @@
    "source": [
     "# random centers\n",
     "box_centers = np.random.random((20, 2)) * 1000\n",
-    "box_widths = np.random.random((20)) * 100\n",
-    "box_heights = np.random.random((20)) * 100\n",
+    "box_widths = np.random.random(20) * 100\n",
+    "box_heights = np.random.random(20) * 100\n",
     "features = pd.DataFrame({'box_widths': box_widths, 'box_heights': box_heights})\n",
     "features['area'] = features['box_widths'] * features['box_heights']\n",
     "\n",