Thinking of repainting the kitchen

... One day.

But I don't want to lose this important historical information - my offspring's height vs time!


So I've converted it into a nice graph
Using some code

#!/usr/bin/env python3
from datetime import datetime
from matplotlib import pyplot as plt

table = [
    (132.4,'10/7/11'),
    (134.8,'14/9/11'),
    (136.9,'2/3/12'),
    (138.4,'7/9/12'),
    (141.5,'25/5/13'),
    (142.6,'23/6/13'),
    (145.8,'15/3/14'),
    (148.7,'15/11/14'),
    (150.0,'20/1/15'),
    (153.1,'8/6/15'),
    (157.7,'12/11/15'),
    (159.0,'21/12/15'),
    (160.1,'7/2/16'),
    (164.1,'12/6/16'),
    (167.6,'27/12/16'),
    (169.9,'4/3/17'),
    (171.7,'14/11/17'),
    (172.1,'6/6/18'),
    (172.9,'24/8/19'),
    (173.6,'2/4/20'),
    ]

def labelToX(label: str):
    d,m,y = label.split('/')
    return datetime(int(y)+2000,int(m),int(d),12,0,0).timestamp()
    
def main():
    cm,l = zip(*table)
    x = tuple(map(labelToX,l))
    y = tuple(map(lambda h:h/100, cm))

    plt.xkcd()
    plt.scatter(x,y,marker='x')
    plt.plot(x, y, zorder=-1)
    
    # Hide the right and top spines
    plt.gca().spines['right'].set_visible(False)
    plt.gca().spines['top'].set_visible(False)

    plt.xlabel('date')
    plt.ylabel('height (m)')

    plt.xticks(x,l, rotation=80, fontsize=7)
    plt.gcf().subplots_adjust(bottom=0.2)
    plt.show()

if __name__ == '__main__':
    main()

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