# Python | Average of Float Numbers

While working with Python, we can have a problem in which we need to find mean of a list cumulative with float elements. This problem is common in Data Science domain. Let’s discuss certain ways in which this problem can be solved.

Method #1 : Using loop + formula
The simpler manner to approach this problem is to employ the formula for finding mean and perform using loop shorthands. This is the most basic approach to solve this problem.

 `# Python3 code to demonstrate working of  ` `# Average of Float Numbers  ` `# using loop + formula  ` `import` `math ` ` `  `# initialize list  ` `test_list ``=` `[``6.1``, ``7.2``, ``3.3``, ``9.4``, ``10.6``, ``15.7``]  ` ` `  `# printing original list  ` `print``(``"The original list is : "` `+` `str``(test_list))  ` ` `  `# Average of Float Numbers ` `# using loop + formula  ` `sum` `=` `0` `for` `ele ``in` `test_list: ` `  ``sum` `+``=` `ele ` `res ``=` `sum` `/` `len``(test_list) ` ` `  `# printing result  ` `print``(``"The mean of float list elements is : "` `+` `str``(res))  `

Output :

```The original list is : [6.1, 7.2, 3.3, 9.4, 10.6, 15.7]
The mean of float list elements is : 8.716666666666667
```

Method #2 : Using `statistics.fmean()`
This task can also be performed using inbuilt function of fmean(). This is new in Python versions >= 3.8.

 `# Python3 code to demonstrate working of  ` `# Average of Float Numbers ` `# using statistics.fmean()  ` `import` `statistics  ` ` `  `# initialize list  ` `test_list ``=` `[``6.1``, ``7.2``, ``3.3``, ``9.4``, ``10.6``, ``15.7``]  ` ` `  `# printing original list  ` `print``(``"The original list is : "` `+` `str``(test_list))  ` ` `  `# Average of Float Numbers ` `# using statistics.fmean()  ` `res ``=` `statistics.fmean(test_list)  ` ` `  `# printing result  ` `print``(``"The mean of float list elements is : "` `+` `str``(res))  `

Output :

```The original list is : [6.1, 7.2, 3.3, 9.4, 10.6, 15.7]
The mean of float list elements is : 8.716666666666667
```

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