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hey there python trainer Reuben learner here and today I want to talk to you about how to turn numeric data into categorical data in pandas using the cut method and Ive already set up my jupyter notebook here with importing numpy importing pandas from Pandas import series and data frame and Im going to use one of my favorite data sets the New York City Taxi data set this is from January 2019. Im going to say here DF equals PD reads CSV now Im going to say file name and then I only need a few of the columns to prove my point Im going to say here use calls equals Im going to say here trip distance and well say here passenger account and well say here total amount and theres actually a lot of data its if I remember correctly seven and a half million rows so its going to take a little bit to load up indeed if we say here DF of shape we see here its 7.6 million rows fantastic and we do a DF head were going to see and this is um every single taxi ride reported in New York City