ITECH 1400 Foundations of Programming, Federation University

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Question: Provide a Python script which will calculate the Biorhythms for an individual and present the data graphically using libraries and a common algorithm.

Answer: #importing required builtin modules

import datetime as dt

from numpy import sin

import matplotlib.pyplot as plt

import matplotlib.dates as mdates

from pylab import figure

#reading Date of birth from user

print('Reading Date of Birth....')

day=int(input('enter Day of DOB:'))

month=int(input('enter Month of DOB:'))

year=int(input('enter Year of DOB:'))

#converting individual date components into a date object

dob=dt.date(year,month,day)

#reading target date from user

print('Reading Target Date....')

day=int(input('enter Day :'))

month=int(input('enter Month :'))

year=int(input('enter Year :'))

#converting individual date components into a date object

td=dt.date(year,month,day)

Ageindays=(td-dob).days

listofdays=[i for i in range(Ageindays-20,Ageindays+20) ]

average=[]

#calculating physical,emotional and intellectual skills of an individual

listofPhySkill=[100*sin(2*3.14*i/23) for i in listofdays]

listofEmoSkill=[100*sin(2*3.14*i/28) for i in listofdays]

listofIntellSkill=[100*sin(2*3.14*i/33) for i in listofdays]

for i in range(len(listofdays)):

t=(listofPhySkill[i]+listofEmoSkill[i]+listofIntellSkill[i])/3

average.append(t)

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#Calculating values for x-axis

listofxaxislabels=[dt.date.fromordinal(i) for i in listofdays]

fig, ax = plt.subplots()

#ploting curve for physical values

plt.plot(listofxaxislabels,listofPhySkill,color='red',linewidth=3)

#ploting curve for emotional values

plt.plot(listofxaxislabels,listofEmoSkill,color='green',linewidth=3)

#ploting curve for intellectual values

plt.plot(listofxaxislabels,listofIntellSkill,color='blue',linewidth=3)

plt.plot(listofxaxislabels,average,color='yellow',linewidth=3,linestyle='dashed')

#displaying legend for the graph

plt.legend([' Physical', 'Emotional','Intellectual','Average'])

#plt.gcf().xaxis.set_major_formatter(mdates.DateFormatter('%d/%b'))

cc=plt.gcf()

dateFmt = mdates.DateFormatter('%d/%b')

ax.xaxis.set_major_formatter(dateFmt)

fig.autofmt_xdate()

#plt.gcf().autofmt_xdate()

#ax.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d/%Y'))

#displaying title for the graph

t='BioRhythms graph DOB:'+str(dob)+' and Target date:'+str(td)

plt.title(t)

#making graph visible on the screen

plt.show()

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