How to Calculate Percentage in Python

Calculate the percentile in Python

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  3. Calculate the percentile in Python

Created: March-07, 2021

  1. Percentile calculation in Python with the package
  2. Percentile calculation in Python with the package
  3. Percentile calculation in Python with the package
  4. Percentile calculation in Python with the package
  5. Percentile calculation in Python using NumPy's linear interpolation method
  6. Percentile calculation in Python using NumPy's lower interpolation method
  7. Percentile calculation in Python with the higher interpolation method of NumPy
  8. Percentile calculation in Python using the NumPy midpoint interpolation method

Percentiles indicate the percentage of values ​​that fall below a certain value. For example, a person with an IQ of 120 is in the 91st percentile, which means their IQ is higher than that of 91% of the other people.

This article discusses some methods of calculating percentiles in Python.

Percentile calculation in Python with the package

This package calculates the value of the input series at a certain percentile. The syntax of the function is given below:

In the function, the parameter represents a 1-D array and specifies the percentile in the range from 0 to 100. The other two parameters are optional. The library is used to get the numbers we calculated the percentile on.

The full sample code is given below.

Output:

Percentile calculation in Python with the package

This package has a function that calculates the percentile of a given array. The function syntax is given below.

The parameter represents the number of the percentile calculation. represents an array, while the other parameters are optional.

The full sample code is given below.

Output:

Percentile calculation in Python with the package

The package with its basic function - - can be used to calculate different percentiles.

The full sample code is given below.

The function rounds the value down and returns the smallest integer that is greater than or equal to while the function sorts the array.

Output:

Percentile calculation in Python with the package

The function in the package is used to equalize the data and return a distribution list of. The syntax of this function is given below.

The full sample code is given below.

Output:

Percentile calculation in Python using NumPy's linear interpolation method

We can calculate different percentiles with the help of the interpolation mode. The interpolation modes are,,,, and. These interpolations are used when the percentiles lie between two data points, and. When is the percentile value, it is the lower interpolation mode, represents the higher interpolation mode, and represents the linear mode, where denotes the index surrounded by and.

The full sample code for the linear interpolation mode is given below.

We use the function with the additional parameter. You can see that we are getting float values ​​for this interpolation.

Output:

Percentile calculation in Python using NumPy's lower interpolation method

The full sample code for the interpolation method below is given below.

Output:

You can see that the final percentile is rounded down to the lowest possible value.

Percentile calculation in Python with the higher interpolation method of NumPy

This method outputs percentiles of the given array to the highest rounded value.

The full sample code for the higher level interpolation method is given below.

Output:

Percentile calculation in Python using the NumPy midpoint interpolation method

This method provides the mean values ​​of the percentile values.

The full sample code for the midpoint interpolation mode is given below.

Output:

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