Remove nc_time_axis and fix hide-input for cells

NCAR · Feb 4, 2025 · 5345b7b · 5345b7b
1 parent ca3af95
commit 5345b7b
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Showing 3 changed files with 22 additions and 8 deletions.
diff --git a/nblibrary/ice/Hemis_seaice_visual_compare_contour.ipynb b/nblibrary/ice/Hemis_seaice_visual_compare_contour.ipynb
@@ -87,7 +87,7 @@
    },
    "outputs": [],
    "source": [
-    "cupid_run = 0\n",
+    "cupid_run = 1\n",
     "\n",
     "if cupid_run == 1:\n",
     "\n",

diff --git a/nblibrary/ice/Hemis_seaice_visual_compare_obs_lens.ipynb b/nblibrary/ice/Hemis_seaice_visual_compare_obs_lens.ipynb
@@ -38,8 +38,7 @@
     "import yaml\n",
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",
-    "import matplotlib.lines as mlines\n",
-    "import nc_time_axis"
+    "import matplotlib.lines as mlines"
    ]
   },
   {
@@ -191,7 +190,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "31c8d5bf-b76f-46b2-bb5b-a654fa2150ed",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-input"
+    ]
+   },
    "outputs": [],
    "source": [
     "### Read in the CESM LENS historical data\n",
@@ -259,7 +266,15 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "4f8d57eb-8411-4b70-a200-35b99d3152f2",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-input"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Two functions to help draw plots even if only one year of data is available\n",

diff --git a/nblibrary/ice/plot_diff.py b/nblibrary/ice/plot_diff.py
@@ -88,8 +88,6 @@ def plot_diff(field1, field2, levels, case1, case2, title, proj, TLAT, TLON):
 
     ds_pop = add_cyclic(ds_obs)
 
-    ifrac_obs = ds_pop.monthly_ifrac.mean(dim="month")
-
     aice = title.find("Concentration")
 
     if np.size(levels) > 2:
@@ -101,14 +99,15 @@ def plot_diff(field1, field2, levels, case1, case2, title, proj, TLAT, TLON):
     gs = GridSpec(2, 4)
 
     if proj == "N":
-
         ax = fig.add_subplot(gs[0, :2], projection=ccrs.NorthPolarStereo())
         # sets the latitude / longitude boundaries of the plot
         ax.set_extent([0.005, 360, 90, 45], crs=ccrs.PlateCarree())
+        ifrac_obs = ds_pop["monthly_ifrac"].isel(month=2)
     if proj == "S":
         ax = fig.add_subplot(gs[0, :2], projection=ccrs.SouthPolarStereo())
         # sets the latitude / longitude boundaries of the plot
         ax.set_extent([0.005, 360, -90, -45], crs=ccrs.PlateCarree())
+        ifrac_obs = ds_pop["monthly_ifrac"].isel(month=8)
 
     ax.set_boundary(circle, transform=ax.transAxes)
     ax.add_feature(cfeature.LAND, zorder=100, edgecolor="k")