Arctic sea surface temp anomaly visualization

python_scripts/arc_sst_anom.py

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+import json
+import matplotlib.pyplot as plt
+import numpy, pandas
+import requests
+
+res = requests.get('https://climatereanalyzer.org/clim/sst_daily/json/oisst2.1_world2_sst_day.json')
+if res.status_code == 200:
+    data = json.loads(res.text)
+
+data = data[:-3] # remove final three cols (avg and sds)
+
+temps = numpy.array([i['data'] for i in data], numpy.float32).T
+cols = [i['name'] for i in data]
+
+df = pandas.DataFrame(temps, columns = cols)
+diffs = pandas.DataFrame(columns = cols, dtype=numpy.float32)
+for col in cols[20:]:
+    i = cols.index(col)
+    means = df[df.columns[0:20]].mean(axis=1) # 1981 - 2001 mean sst
+    diffs[col] = df[col] - means
+series = diffs.melt().drop('variable', axis=1)
+series.plot(figsize=(20,5))
+plt.xticks(numpy.arange(0,len(series),366)[20:], (numpy.arange(0, len(series), 366)[20:] / 366 + 1981).astype(int))
+plt.show()