Resampling fix

notebooks/4-taylor-diagrams.ipynb

@@ -56,6 +56,7 @@
    "source": [
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
+    "import pandas as pd\n",
     "import xarray as xr\n",
     "\n",
     "import cftime\n",
@@ -144,7 +145,9 @@
    "source": [
     "# Change hourly data to monthly\n",
     "era5 = era5.rename({'initial_time0_hours': 'time'}) # Changing dimension name for convenience\n",
-    "era5_resampled = era5.resample(time='MS', loffset='15D').mean() # loffsest to set resampling to the center of each month as in CMIP5 data\n",
+    "era5_resampled = era5.resample(time='MS').mean()\n",
+    "offset = pd.tseries.frequencies.to_offset('15D') # use offsest to adjust to the center of each month as in CMIP5 data\n",
+    "era5_resampled['time'] = era5_resampled.get_index('time') + offset\n",
     "\n",
     "era5_resampled"
    ]

notebooks/7-animation.ipynb

@@ -341,8 +341,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "vmin = t.min()\n",
-    "vmax = t.max()\n",
+    "vmin = t.min().values\n",
+    "vmax = t.max().values\n",
     "levels = 30\n",
     "\n",
     "# create initial plot that we will update\n",