Adds analysis plots of temperature and precipitation

.gitignore

@@ -2,4 +2,7 @@ runs/amip/logfiles/
 runs/slab4x-sun/logfiles/
 runs/slab4x-vap/logfiles/
 runs/slab4x/logfiles/
-runs/slabctr/logfiles/
\ No newline at end of file
+runs/slabctr/logfiles/
+
+analysis/.ipynb_checkpoints/
+analysis/__pycache__/

analysis/core.py

+import xarray as xr
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+
+# load yearly mean dataset
+def load_yearmean_dataset(file: str, startdate: str):
+    ds = xr.load_dataset(file)
+    ds["time"] = pd.date_range(startdate, freq="ME", periods=ds.time.size)
+    return ds.groupby(ds.time.dt.year).mean()
+
+# compute global mean
+def globalmean(ds):
+    weights = np.cos(np.deg2rad(ds.lat))
+    weights.name = "weights"
+    ds_weighted = ds.weighted(weights)
+    return ds_weighted.mean(("lon", "lat"))
+
+def beautify_timeseries(ax, yaxis0):
+    """ Makes plots of time series  nicer in terms of axes and labeling"""
+    # adjust spines
+    ax = plt.gca()
+    ax.spines['top'].set_color('none')
+    ax.spines['right'].set_color('none')
+    ax.xaxis.set_ticks_position('bottom')
+    ax.spines['bottom'].set_position(('data',yaxis0))
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