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