Absolute and Relative frequency in Pandas

Frequency is the number of occurrences of an outcome in a sample is known as the frequency of that outcome in the given sample. It can be termed in two different ways.

1. Absolute Frequency:
It is the number of observations in a particular category. It has always an integer value or we can say it has discrete values.

Example:

Following data are given about pass or fail of students in an exam held of Mathematics in a class.
P, P, F, P, F, P, P, F, F, P, P, P

where, P = Passed and F = Failed.

Solution:
From the given data we can say that,
There are 8 students who passed the exam
There are 4 students who failed the exam

Implementation in Python:
Let’s the result of 12 persons declared in two categories Pass(P) and Fail(F) is categorized as 1 and 0 respectively.

P, P, F, P, F, P, P, F, F, P, P, P
1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1
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import pandas as pd
  
data = [1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1]
  
# Create Data Frame using pandas library
# .value_counts() counts the number of 
# occurrences of particular observation
  
df = pd.Series(data).value_counts()
print(df)

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Output:

1    8
0    4
dtype: int64

 

2. Relative Frequency:
It is the fraction of observations of a particular category in given data set. It has floating values and also represented in percentage. Let us consider the given example of passed and failed students in the Mathematics exam. Then,

relative frequency of passed students = 8 / ( 8 + 4 ) = 0.666 = 66.6 %
relative frequency of failed students = 4 / ( 8 + 4 ) = 0.333 = 33.3 %

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edit
close

play_arrow

link
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code

import pandas as pd
  
data = [1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1]
  
# Create Data Frame using pandas library
# .value_counts() counts the number of 
# occurrences of particular observation
  
df = pd.Series(data).value_counts()      
print(df / len(data))

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Output:

1    0.666667
0    0.333333
dtype: float64


My Personal Notes arrow_drop_up

Possess good Mathematical and Statistical Foundation Learning Data Science and Machine Learning Interested in Mathematical and Statistical Analysis

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