From 2a70c860855ff177e3c1c41ff82d472049dc0a3e Mon Sep 17 00:00:00 2001
From: d33bs <dave.bunten@cuanschutz.edu>
Date: Wed, 6 Nov 2024 12:27:12 -0700
Subject: [PATCH] linting

---
 .../examples/cytodataframe_at_a_glance.ipynb  | 33 ++++++++-----------
 .../src/examples/cytodataframe_at_a_glance.py | 33 ++++++++-----------
 2 files changed, 26 insertions(+), 40 deletions(-)

diff --git a/docs/src/examples/cytodataframe_at_a_glance.ipynb b/docs/src/examples/cytodataframe_at_a_glance.ipynb
index 30f993b..0c27798 100644
--- a/docs/src/examples/cytodataframe_at_a_glance.ipynb
+++ b/docs/src/examples/cytodataframe_at_a_glance.ipynb
@@ -7,9 +7,12 @@
    "source": [
     "# CytoDataFrame at a Glance\n",
     "\n",
-    "This notebook demonstrates various capabilities of [CytoDataFrame](https://github.com/WayScience/CytoDataFrame) using examples.\n",
+    "This notebook demonstrates various capabilities of \n",
+    "[CytoDataFrame](https://github.com/WayScience/CytoDataFrame) using examples.\n",
     "\n",
-    "CytoDataFrame is intended to provide you a Pandas-like DataFrame experience which is enhanced with single-cell visual information which can be viewed directly in a Jupyter notebook."
+    "CytoDataFrame is intended to provide you a Pandas-like\n",
+    "DataFrame experience which is enhanced with single-cell\n",
+    "visual information which can be viewed directly in a Jupyter notebook."
    ]
   },
   {
@@ -121,9 +124,7 @@
     "        \"Image_FileName_OrigDNA\",\n",
     "        \"Image_FileName_OrigRNA\",\n",
     "    ]\n",
-    "][\n",
-    "    :3\n",
-    "]"
+    "][:3]"
    ]
   },
   {
@@ -208,7 +209,7 @@
    ],
    "source": [
     "%%time\n",
-    "# view JUMP plate BR00117006 with images and overlayed outlines for segmentation\n",
+    "# view JUMP plate BR00117006 with images and overlaid outlines for segmentation\n",
     "CytoDataFrame(\n",
     "    data=f\"{jump_data_path}/BR00117006_shrunken.parquet\",\n",
     "    data_context_dir=f\"{jump_data_path}/images/orig\",\n",
@@ -221,9 +222,7 @@
     "        \"Image_FileName_OrigDNA\",\n",
     "        \"Image_FileName_OrigRNA\",\n",
     "    ]\n",
-    "][\n",
-    "    :3\n",
-    "]"
+    "][:3]"
    ]
   },
   {
@@ -313,9 +312,7 @@
     "        \"Image_FileName_RFP\",\n",
     "        \"Image_FileName_DAPI\",\n",
     "    ]\n",
-    "][\n",
-    "    :3\n",
-    "]"
+    "][:3]"
    ]
   },
   {
@@ -393,7 +390,7 @@
    ],
    "source": [
     "%%time\n",
-    "# view NF1 Cell Painting data with images and overlayed outlines from masks\n",
+    "# view NF1 Cell Painting data with images and overlaid outlines from masks\n",
     "CytoDataFrame(\n",
     "    data=f\"{nf1_cellpainting_path}/Plate_2_with_image_data_shrunken.parquet\",\n",
     "    data_context_dir=f\"{nf1_cellpainting_path}/Plate_2_images\",\n",
@@ -406,9 +403,7 @@
     "        \"Image_FileName_RFP\",\n",
     "        \"Image_FileName_DAPI\",\n",
     "    ]\n",
-    "][\n",
-    "    :3\n",
-    "]"
+    "][:3]"
    ]
   },
   {
@@ -496,7 +491,7 @@
    ],
    "source": [
     "%%time\n",
-    "# view nuclear speckles data with images and overlayed outlines from masks\n",
+    "# view nuclear speckles data with images and overlaid outlines from masks\n",
     "CytoDataFrame(\n",
     "    data=f\"{nuclear_speckles_path}/test_slide1_converted.parquet\",\n",
     "    data_context_dir=f\"{nuclear_speckles_path}/images/plate1\",\n",
@@ -509,9 +504,7 @@
     "        \"Image_FileName_DAPI\",\n",
     "        \"Image_FileName_GOLD\",\n",
     "    ]\n",
-    "][\n",
-    "    :3\n",
-    "]"
+    "][:3]"
    ]
   }
  ],
diff --git a/docs/src/examples/cytodataframe_at_a_glance.py b/docs/src/examples/cytodataframe_at_a_glance.py
index 9324445..a45c17c 100644
--- a/docs/src/examples/cytodataframe_at_a_glance.py
+++ b/docs/src/examples/cytodataframe_at_a_glance.py
@@ -14,9 +14,12 @@
 
 # # CytoDataFrame at a Glance
 #
-# This notebook demonstrates various capabilities of [CytoDataFrame](https://github.com/WayScience/CytoDataFrame) using examples.
+# This notebook demonstrates various capabilities of
+# [CytoDataFrame](https://github.com/WayScience/CytoDataFrame) using examples.
 #
-# CytoDataFrame is intended to provide you a Pandas-like DataFrame experience which is enhanced with single-cell visual information which can be viewed directly in a Jupyter notebook.
+# CytoDataFrame is intended to provide you a Pandas-like
+# DataFrame experience which is enhanced with single-cell
+# visual information which can be viewed directly in a Jupyter notebook.
 
 # +
 from cytodataframe.frame import CytoDataFrame
@@ -39,12 +42,10 @@
         "Image_FileName_OrigDNA",
         "Image_FileName_OrigRNA",
     ]
-][
-    :3
-]
+][:3]
 
 # %%time
-# view JUMP plate BR00117006 with images and overlayed outlines for segmentation
+# view JUMP plate BR00117006 with images and overlaid outlines for segmentation
 CytoDataFrame(
     data=f"{jump_data_path}/BR00117006_shrunken.parquet",
     data_context_dir=f"{jump_data_path}/images/orig",
@@ -57,9 +58,7 @@
         "Image_FileName_OrigDNA",
         "Image_FileName_OrigRNA",
     ]
-][
-    :3
-]
+][:3]
 
 
 # %%time
@@ -75,12 +74,10 @@
         "Image_FileName_RFP",
         "Image_FileName_DAPI",
     ]
-][
-    :3
-]
+][:3]
 
 # %%time
-# view NF1 Cell Painting data with images and overlayed outlines from masks
+# view NF1 Cell Painting data with images and overlaid outlines from masks
 CytoDataFrame(
     data=f"{nf1_cellpainting_path}/Plate_2_with_image_data_shrunken.parquet",
     data_context_dir=f"{nf1_cellpainting_path}/Plate_2_images",
@@ -93,12 +90,10 @@
         "Image_FileName_RFP",
         "Image_FileName_DAPI",
     ]
-][
-    :3
-]
+][:3]
 
 # %%time
-# view nuclear speckles data with images and overlayed outlines from masks
+# view nuclear speckles data with images and overlaid outlines from masks
 CytoDataFrame(
     data=f"{nuclear_speckles_path}/test_slide1_converted.parquet",
     data_context_dir=f"{nuclear_speckles_path}/images/plate1",
@@ -111,6 +106,4 @@
         "Image_FileName_DAPI",
         "Image_FileName_GOLD",
     ]
-][
-    :3
-]
+][:3]