Python 4.0 prediction

predict.py

from dateparser import parse
import numpy as np
import datetime

data_points = []
for l in """
1.4 25 October 1996
1.5 17 February 1998
2.0 16 October 2000
2.5 19 September 2006
2.7 4 July 2010
3.4 16 March 2014
""".strip().splitlines():
    v, d = l.strip().split("\t")
    data_points.append((float(v), parse(d).date().toordinal()))

data = np.array(data_points)
fit = np.polyfit(data[:,0], data[:,1], 1)
new_ordinal = np.poly1d(fit)([4.0])

print datetime.date.fromordinal(new_ordinal)

# >>> 2020-06-01