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**Biorhythms - Python Application, Federation University, Australia**

**ITECH1400 Foundations Of Programming**

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**Question: Develop a Python application that can display Biorhythms for a person given their date of birth and the target date. You should be able to provide the Biorhythms for a suitable spread around the target date as well.**

**Answer: **from datetime import date

from math import sin, pi

from pylab import *

from datetime import date

import matplotlib.dates

from pylab import *

from numpy import array,sin,pi

rc(('xtick.major','xtick.minor','ytick.major','ytick.minor'), pad=10)

dd,mm,yy=12,11,2009

dd2,mm2,yy2=25,1,2019 # Liz Taylor

# computation method:

method = 1 # 1: summed phase; 0: phase difference

# (See https://www.brianapps.net/palmbio/compatibilitycomparison.png for

# the differences between computation methods.)

#----------------------------------------------------------------------

s1 = "%04u-%02u-%02u" % (yy,mm,dd)

s2 = "%04u-%02u-%02u" % (yy2,mm2,dd2)

print ("Compatibility between",s1,"and",s2)

print (47*'-')

t1 = date(yy,mm,dd).toordinal()

t2 = date(yy2,mm2,dd2).toordinal()

lag = abs(t2-t1)

lag_p = lag % 23

lag_e = lag % 28

lag_i = lag % 33

lag_int = lag % 38

lag_aes = lag % 43

lag_awa = lag % 48

lag_spi = lag % 53

print ("lags (PEI):", lag_p,lag_e,lag_i)

avg1, avg2 = 0,0

out = []

def ana_lag(s, l, t):

global avg1, avg2

if method:

qq = 100.*abs(cos(pi*l/t)) # summed maximum method

else:

qq = 200./t*abs(l-t/2.) # phase difference

print (s, round(qq), "%")

avg1 += qq

avg2 += qq

out.append(qq)

ana_lag("compat physical: ", lag_p, 23)

ana_lag("compat emotional: ", lag_e, 28)

ana_lag("compat intellectual:", lag_i, 33)

avg1f = int(.5+avg1/3.)

print ("average: ", avg1f, "%")

ana_lag("compat intuitive: ", lag_int, 38) # aka compassion

ana_lag("compat aesthetic: ", lag_aes, 43)

ana_lag("compat awareness: ", lag_awa, 48)

ana_lag("compat spiritual: ", lag_spi, 53)

avg2f = int(.5+avg2/7.)

print ("total average: ", avg2f, "%")

t = array(range((t1-10),(t1+10))) # range of 20 days

y = 100*[sin(2*pi*(t-t1)/23), # Physical

sin(2*pi*(t-t1)/28), # Emotional

sin(2*pi*(t-t1)/33)]; # Intellectual

# converting ordinals to date

label = []

for p in t:

label.append(date.fromordinal(p))

fig = figure()

ax = fig.gca()

plot(label,y[0],label,y[1],label,y[2])

# adding a legend

legend(['Physical', 'Emotional', 'Intellectual'])

# formatting the dates on the x axis

ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d/%b'))

show()

yticks(arange(8.5,-.5,-1), tnam)

xlim((0,100))

xlabel("%")

x = 102

text(x,8.5, "%u%%" % round(out[1]), va="center")

text(x,7.5, "%u%%" % round(out[0]), va="center")

text(x,6.5, "%u%%" % round(out[2]), va="center")

text(x,5.5, "%u%%" % round(avg1f), va="center")

text(x,4.5, "%u%%" % round(out[6]), va="center")

text(x,3.5, "%u%%" % round(out[5]), va="center")

text(x,2.5, "%u%%" % round(out[3]), va="center")

text(x,1.5, "%u%%" % round(out[4]), va="center")

text(x,.5, "%u%%" % round(avg2f), va="center")

title("Compatibility between %04u-%02u-%02u and %04u-%02u-%02u" % (yy,mm,dd,yy2,mm2,dd2))

fn = "%04u-%02u-%02u_and_%04u-%02u-%02u.pdf" % (yy,mm,dd,yy2,mm2,dd2)

savefig(fn)

show()

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