Pandas Cut Function Tutorial | pd.cut() Explained with Examples
Introduction
Pandas Cut function lets you segment your data into intervals or bins making it easier to analyze data into discrete groups or visualize the data with the help of Histogram. In this tutorial, we will understand the syntax of pd.cut() function and explain its various functionality with the help of examples.
Syntax of pandas.cut()
pandas.cut(x, bins, right=True, labels=None, retbins=False, precision=3, include_lowest=False, duplicates=’raise’)
Parameters:
- x: This is the input array or series containing the continuous data that you want to bin.
- bins: It defines the intervals into which data should be divided. You can specify the number of bins or provide an array of bin edges.
- right: A boolean parameter indicating whether the intervals should