cleanup

notebooks/wp4/cmip6_sea_ice_thickness_bias_maps.ipynb

@@ -25,6 +25,7 @@
    "source": [
     "import warnings\n",
     "\n",
+    "import calendar\n",
     "import cartopy.crs as ccrs\n",
     "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
@@ -235,6 +236,7 @@
    "source": [
     "projection = ccrs.Stereographic(central_latitude=90)\n",
     "da = xr.concat([da_satellite, da_cmip6], \"product\")\n",
+    "da[\"month\"] = [calendar.month_abbr[month] for month in da[\"month\"].values]\n",
     "da = da.where(da.sel(product=\"satellite\").notnull())\n",
     "for dim in ds.dims:\n",
     "    da = da.dropna(dim, how=\"all\")\n",