Geometric mean of Dataset |python

How to find the Geometric Mean of a Dataset ❔

Here,
eg. There is a dataset of marks obtained by the students.

Algorithm (GM of Discrete series):

1️⃣ Input number of data element: n

2️⃣ Take input of marks (data) and number of Students (frequency): data and list are Python list

3️⃣ Take loop from 0 to n-1
Calculate: ➡️Sologx = log (data [ ]) * freq[ ]
and ➡️N = N+ freq [ ]

4️⃣ Calculation of Anti-log by pow():
➡️ gm = pow( 10, Sologx/N)

Solog : sum of log
pow : power function