a few more fixes (#139)

* a few more fixes

* exec

Author: fmaussion

_config.yml

@@ -1,6 +1,6 @@
 #######################################################################################
 # A default configuration that will be loaded for all jupyter books
-# See the documentation for help and more options: 
+# See the documentation for help and more options:
 # https://jupyterbook.org/customize/config.html
 
 #######################################################################################
@@ -11,7 +11,7 @@ copyright: "2014-2024"  # Copyright year to be placed in the footer
 logo: img/logo.png  # A path to the book logo
 repository:
   url: https://github.com/OGGM/tutorials
-  path_to_book: . 
+  path_to_book: .
   branch: stable
 launch_buttons:
   notebook_interface: "jupyterlab"
@@ -25,7 +25,7 @@ html:
   use_edit_page_button: true
   announcement: |
     <p class="announcement">
-       🚧 <strong>Scheduled maintenance:</strong> the OGGM cluster will be offline <strong>April 27 (evening CEST) – April 30 (morning CEST)</strong>. 
+       🚧 <strong>Scheduled maintenance:</strong> the OGGM cluster will be offline <strong>April 27 (evening CEST) – April 30 (morning CEST) 2025</strong>.
        <a href="https://oggm.org/2025/04/15/service-maintenance/">Learn more</a>.
     </p>
   extra_footer: |

_static/custom.css

@@ -1,11 +1,11 @@
 html {
-    --pst-font-size-h1: 2.2em; /* Default: 2.625 */
-    --pst-font-size-h2: 1.6em;   /* Default: 2.125 */
-    --pst-font-size-h3: 1.2em; /* Default: 1.75 */
+  --pst-font-size-h1: 2.2em; /* Default: 2.625 */
+  --pst-font-size-h2: 1.7em;   /* Default: 2.125 */
+  --pst-font-size-h3: 1.3em; /* Default: 1.75 */
+  --pst-font-size-h4: 1.0em; /* Default: ? */
 }
 
 .announcement {
-  background-color: orange !important; /* You can use a hex or tailwind-inspired shade if preferred */
   color: white !important;
   padding: 0.5em 1em;
   margin: 0;

notebooks/10minutes/machine_learning.ipynb

@@ -898,7 +898,7 @@
    "outputs": [],
    "source": [
     "# Back to 2d and in xarray\n",
-    "var = ds[vn].data * np.NaN\n",
+    "var = ds[vn].data * np.nan\n",
     "var[ds.glacier_mask == 1] = pred_data['thick']\n",
     "ds['linear_model_thick'] = (('y', 'x'), var)\n",
     "ds['linear_model_thick'].attrs['description'] = 'Predicted thickness'\n",

notebooks/tutorials/inversion.ipynb

@@ -586,7 +586,7 @@
     "        vn = 'distributed_thickness'\n",
     "        thick = nc.variables[vn][:]\n",
     "        mask = nc.variables['glacier_mask'][:]\n",
-    "    thick = np.where(mask, thick, np.NaN)\n",
+    "    thick = np.where(mask, thick, np.nan)\n",
     "    # The \"overplot=True\" is key here\n",
     "    # this needs a recent version of salem to run properly\n",
     "    smap.set_data(thick, crs=gdir.grid.center_grid, overplot=True)"
@@ -634,7 +634,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.12.4"
   },
   "metadata": {
    "interpreter": {

notebooks/tutorials/oggm_shop.ipynb

@@ -374,7 +374,7 @@
     "    demfile = os.path.join(gdir.dir, src) + '/dem.tif'\n",
     "    with rioxr.open_rasterio(demfile) as ds:\n",
     "        data = ds.sel(band=1).load() * 1.\n",
-    "        ods[src] = data.where(data > -100, np.NaN)\n",
+    "        ods[src] = data.where(data > -100, np.nan)\n",
     "\n",
     "    sy, sx = np.gradient(ods[src], gdir.grid.dx, gdir.grid.dx)\n",
     "    ods[src + '_slope'] = ('y', 'x'),  np.arctan(np.sqrt(sy**2 + sx**2))\n",
@@ -852,7 +852,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.12.4"
   },
   "latex_envs": {
    "LaTeX_envs_menu_present": true,

notebooks/tutorials/rgitopo_rgi6.ipynb

@@ -261,7 +261,7 @@
     "    demfile = os.path.join(gdir.dir, src) + '/dem.tif'\n",
     "    with rioxr.open_rasterio(demfile) as ds:\n",
     "        data = ds.sel(band=1).load() * 1.\n",
-    "        ods[src] = data.where(data > -100, np.NaN)\n",
+    "        ods[src] = data.where(data > -100, np.nan)\n",
     "    \n",
     "    sy, sx = np.gradient(ods[src], gdir.grid.dx, gdir.grid.dx)\n",
     "    ods[src + '_slope'] = ('y', 'x'),  np.arctan(np.sqrt(sy**2 + sx**2))\n",
@@ -706,7 +706,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.12.4"
   },
   "latex_envs": {
    "LaTeX_envs_menu_present": true,

notebooks/tutorials/rgitopo_rgi7.ipynb

@@ -271,7 +271,7 @@
     "    demfile = os.path.join(gdir.dir, src) + '/dem.tif'\n",
     "    with rioxr.open_rasterio(demfile) as ds:\n",
     "        data = ds.sel(band=1).load() * 1.\n",
-    "        ods[src] = data.where(data > -100, np.NaN)\n",
+    "        ods[src] = data.where(data > -100, np.nan)\n",
     "    \n",
     "    sy, sx = np.gradient(ods[src], gdir.grid.dx, gdir.grid.dx)\n",
     "    ods[src + '_slope'] = ('y', 'x'),  np.arctan(np.sqrt(sy**2 + sx**2))\n",
@@ -718,7 +718,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.12.4"
   },
   "latex_envs": {
    "LaTeX_envs_menu_present": true,