Implementing Biorhythm Calculations and Visualization in Python
VerifiedAdded on 2024/05/15
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Practical Assignment
AI Summary
This assignment details the implementation of biorhythm analysis using Python. It explains how to calculate and visualize an individual's emotional, physical, and intellectual cycles based on their birthdate. The solution utilizes libraries such as NumPy and Matplotlib to process data and plot the biorhythm graph. The assignment includes the algorithm, code snippets, and output graph, demonstrating how to interpret the cycles and their significance. References to relevant literature on NumPy, Matplotlib, and Python programming are also provided. Desklib offers this and many other solved assignments for students.

Table of Contents
Biorhythm.............................................................................................................................................2
Curves in biorhythms............................................................................................................................2
Pseudo-code/Algorithm.........................................................................................................................2
Implementation......................................................................................................................................3
Demonstration.......................................................................................................................................4
Features.................................................................................................................................................5
Discussion.............................................................................................................................................5
References.............................................................................................................................................6
Table of Figures
Figure 1 Coding.....................................................................................................................................3
Figure 2 Output.....................................................................................................................................4
Biorhythm.............................................................................................................................................2
Curves in biorhythms............................................................................................................................2
Pseudo-code/Algorithm.........................................................................................................................2
Implementation......................................................................................................................................3
Demonstration.......................................................................................................................................4
Features.................................................................................................................................................5
Discussion.............................................................................................................................................5
References.............................................................................................................................................6
Table of Figures
Figure 1 Coding.....................................................................................................................................3
Figure 2 Output.....................................................................................................................................4
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Biorhythm
Biorhythm is a graphical representation of the predictions regarding some aspects of the life
of an individual using his/her birthdate or any other date using mathematical calculations.
This model predicts the cycles of an individual’s period. It is not true but is somewhat
accurate.
Curves in biorhythms
Biorhythms consists of curves which represents various features of an individual’s life. These
are also known as the oscillating waves. The graph consists of three sine curves which
represents the three cycles. The 3 cycles are emotional cycle, physical cycle and intellectual
cycle. There are 3 formulas, one formula for each cycle using which the sine waves are
created which depicts predictions of one’s life. These aren’t scientific but these aren’t
inaccurate too. The cycles starts at 0 at the birth date. All the sine curves have same
amplitude but their periods vary.
Pseudo-code/Algorithm
1. Input 2 dates from the user.
2. Variation is calculated using array(range(variable2 - 10,variable2 + 10)) formula.
3. At wavelength 23 λ, Physical cycle is calculated.
4. At wavelength 28 λ, Emotional cycle is calculated.
5. At wavelength 33 λ, Intellectual cycle is calculated.
6. The calculations are performed.
7. The curves of all the cycles are plotted.
8. The graphs is displayed.
Biorhythm is a graphical representation of the predictions regarding some aspects of the life
of an individual using his/her birthdate or any other date using mathematical calculations.
This model predicts the cycles of an individual’s period. It is not true but is somewhat
accurate.
Curves in biorhythms
Biorhythms consists of curves which represents various features of an individual’s life. These
are also known as the oscillating waves. The graph consists of three sine curves which
represents the three cycles. The 3 cycles are emotional cycle, physical cycle and intellectual
cycle. There are 3 formulas, one formula for each cycle using which the sine waves are
created which depicts predictions of one’s life. These aren’t scientific but these aren’t
inaccurate too. The cycles starts at 0 at the birth date. All the sine curves have same
amplitude but their periods vary.
Pseudo-code/Algorithm
1. Input 2 dates from the user.
2. Variation is calculated using array(range(variable2 - 10,variable2 + 10)) formula.
3. At wavelength 23 λ, Physical cycle is calculated.
4. At wavelength 28 λ, Emotional cycle is calculated.
5. At wavelength 33 λ, Intellectual cycle is calculated.
6. The calculations are performed.
7. The curves of all the cycles are plotted.
8. The graphs is displayed.

Implementation
Figure 1 Coding
The figure above represents the code in the script. As seen above, the code is purely written
in python language using modules such as NumPy, Matplotlib, etc. to process and compute
the file for obtaining the desired result.
Figure 1 Coding
The figure above represents the code in the script. As seen above, the code is purely written
in python language using modules such as NumPy, Matplotlib, etc. to process and compute
the file for obtaining the desired result.

Demonstration
Figure 2 Output
The figure above represents the biorhythm graph in which the 3 cycles are presented using
three different colour. According to the legend, the blue curve represents the emotional cycle,
the red curve represents the physical cycle and the green curve represents the intellectual
cycle. The high and low represents the good and the bad times respectively.
Figure 2 Output
The figure above represents the biorhythm graph in which the 3 cycles are presented using
three different colour. According to the legend, the blue curve represents the emotional cycle,
the red curve represents the physical cycle and the green curve represents the intellectual
cycle. The high and low represents the good and the bad times respectively.
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Features
There exists 3 cycles in total in the graph that is represented using 3 different colours. Each
colour represent a different curve. The legend is provided for clear understanding of the
graph. All the curves are different and derived using various formulas. The highs and lows
are clearly presented in the graph.
Discussion
Python language is used for developing the script which provides solution to the problem. A
biorhythm graph is plotted using various calculations based on the dates inputted by the user.
The biorhythm graph consists of three curves. These 3 curves represents three different cycles
which predicts the future of an individual’s life. Various plotting and array modules such as
NumPy and Matplotlib are included in the python script. The emotional curve is the first
curve, the physical curve is the second curve and the intellectual curve is the last curve. The
dates inputted by the user are processed for each curve while keeping their wavelengths same
but varying their wavelength which represents the days. After processing and calculating, the
curves are plotted into the graph to produce a biorhythm for time period during the dates
inputted by the user. Each curve is represented by different colour to help the user
differentiate between the cycles without any confusion.
There exists 3 cycles in total in the graph that is represented using 3 different colours. Each
colour represent a different curve. The legend is provided for clear understanding of the
graph. All the curves are different and derived using various formulas. The highs and lows
are clearly presented in the graph.
Discussion
Python language is used for developing the script which provides solution to the problem. A
biorhythm graph is plotted using various calculations based on the dates inputted by the user.
The biorhythm graph consists of three curves. These 3 curves represents three different cycles
which predicts the future of an individual’s life. Various plotting and array modules such as
NumPy and Matplotlib are included in the python script. The emotional curve is the first
curve, the physical curve is the second curve and the intellectual curve is the last curve. The
dates inputted by the user are processed for each curve while keeping their wavelengths same
but varying their wavelength which represents the days. After processing and calculating, the
curves are plotted into the graph to produce a biorhythm for time period during the dates
inputted by the user. Each curve is represented by different colour to help the user
differentiate between the cycles without any confusion.

References
Idris, I., 2015. NumPy: Beginner's Guide. Packt Publishing Ltd.
Pine, D.J., 2019. Introduction to Python for Science and Engineering. CRC Press.
Yim, A., Chung, C. and Yu, A., 2018. Matplotlib for Python Developers: Effective
techniques for data visualization with Python. Packt Publishing Ltd.
Idris, I., 2015. NumPy: Beginner's Guide. Packt Publishing Ltd.
Pine, D.J., 2019. Introduction to Python for Science and Engineering. CRC Press.
Yim, A., Chung, C. and Yu, A., 2018. Matplotlib for Python Developers: Effective
techniques for data visualization with Python. Packt Publishing Ltd.
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