Upgrade to JupyterLab

README.md

@@ -65,7 +65,7 @@ Additionally, several interactive notebooks containing usage examples are
 included in [`notebooks`](notebooks). To open the notebooks, with your conda
 environment activated run
 ```
-jupyter notebook notebooks
+jupyter lab notebooks
 ```
 Alternatively, you can run these notebooks in your browser — without installing
 *infresnel* — by navigating to the project's
@@ -86,7 +86,7 @@ To cite a previous version of *infresnel*, go to the
 *infresnel*'s dependencies are [colorcet](https://colorcet.holoviz.org/) (for
 perceptually accurate colormaps to use in the creation of GeoTIFF path length difference
 grids), [Matplotlib](https://matplotlib.org/) (for applying colormaps to GeoTIFFs and
-for generally plotting results), [Jupyter Notebook](https://jupyter.org/)
+for generally plotting results), [JupyterLab](https://jupyterlab.readthedocs.io/en/latest/)
 (for running the interactive `.ipynb` notebooks), [Numba](https://numba.pydata.org/)
 (for computational acceleration), [PyGMT](https://www.pygmt.org/latest/) (for simplified
 SRTM data downloading and caching), [rioxarray](https://corteva.github.io/rioxarray/stable/)

environment.yml

@@ -4,9 +4,10 @@ channels:
   - defaults
 dependencies:
   - colorcet
+  - ipympl
   - ipywidgets
+  - jupyterlab
   - matplotlib
-  - notebook
   - numba
   - pip
   - pygmt

notebooks/example_paths.ipynb

@@ -37,7 +37,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/vr/y2n71p290zzgzbzp8xzl0ykw0000gn/T/ipykernel_50468/340186350.py:27: UserWarning: 51.5% of DEM is NaN!\n",
+      "/var/folders/vr/y2n71p290zzgzbzp8xzl0ykw0000gn/T/ipykernel_52117/1476543577.py:27: UserWarning: 51.5% of DEM is NaN!\n",
       "  ds_list, dem = calculate_paths(\n"
      ]
     },
@@ -61,7 +61,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "55872b4014b9456d98adf40c01da8a32",
+       "model_id": "1077cfe376b94f5b933f720160192d2f",
        "version_major": 2,
        "version_minor": 0
       },

notebooks/example_paths_grid.ipynb

@@ -37,7 +37,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2cdeee055cf64051bd85a3500ef2679e",
+       "model_id": "b82169e71bc1458899b96ae8beecd328",
        "version_major": 2,
        "version_minor": 0
       },
@@ -54,7 +54,7 @@
      "text": [
       "Done\n",
       "\n",
-      "Elapsed time = 8 s\n"
+      "Elapsed time = 7 s\n"
      ]
     }
    ],
@@ -91,7 +91,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5bb8b57a302a402c9e2e0f5f74e3c443",
+       "model_id": "56b0e35c1c794c908bff419b09ff1e1a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -115,8 +115,6 @@
     }
    ],
    "source": [
-    "from getpass import getuser\n",
-    "\n",
     "import colorcet as cc\n",
     "import matplotlib\n",
     "import matplotlib.pyplot as plt\n",
@@ -130,11 +128,8 @@
     "utm_crs = CRS(path_length_differences.rio.crs)\n",
     "proj = Transformer.from_crs(utm_crs.geodetic_crs, utm_crs)\n",
     "\n",
-    "# Set up interactive Matplotlib (JupyterLab doesn't support this?)\n",
-    "if getuser() == 'jovyan':  # We're on Binder (which uses JupyterLab)\n",
-    "    %matplotlib inline\n",
-    "else:\n",
-    "    %matplotlib widget\n",
+    "# Set up interactive Matplotlib\n",
+    "%matplotlib widget\n",
     "\n",
     "\n",
     "# Format coordinates and grid values nicely for interactive use\n",

notebooks/example_paths_grid_geotiff.ipynb

@@ -39,7 +39,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2c0aa7bfbc5c4dfb8e97213b31765d4a",
+       "model_id": "fd6d39ea7c7d41b5a27b8c9b26b6ec58",
        "version_major": 2,
        "version_minor": 0
       },