- Sort the array of given data set.
- Divides the range into N intervals, each containing the approximately same number of samples(Equal-depth partitioning).
- Store mean/ median/ boundaries in each row.

## How do you use bins in Python?

**Python bin()**

- bin() Parameters. bin() method takes a single parameter:
- Return value from bin() bin() method returns the binary string equivalent to the given integer. …
- Example 1: Convert integer to binary using bin() number = 5 print(‘The binary equivalent of 5 is:’, bin(number))

## What is binning in pandas?

Data binning is a type of data preprocessing, a mechanism which includes also dealing with missing values, formatting, normalization and standardization. … Binning can be **applied to convert numeric values to categorical or to sample (quantise) numeric values**.

## What is binned median?

We usually **add data into bins**. When the data has erratic noise, we might prefer to take the median of the values in each bin. A useful byproduct of the calculation is the residual: For each data point its bin median is subtracted. …