5  Preprocess

▄▄▄  ▄▄▄▄▄▄▄▄ .• ▌ ▄ ·. ▪  .▄▄ ·
▀▄ █·•██  ▀▄.▀··██ ▐███▪██ ▐█ ▀.
▐▀▀▄  ▐█.▪▐▀▀▪▄▐█ ▌▐▌▐█·▐█·▄▀▀▀█▄
▐█•█▌ ▐█▌·▐█▄▄▌██ ██▌▐█▌▐█▌▐█▄▪▐█
.▀  ▀ ▀▀▀  ▀▀▀ ▀▀  █▪▀▀▀▀▀▀ ▀▀▀▀ py
.:rtemispy v.0.1.95 🏝 macOS-13.4-arm64-arm-64bit

06-11-23 05:14:59 ▶ Reading iris.csv... [read]
06-11-23 05:14:59 Got 149 rows & 5 columns [read]
06-11-23 05:14:59 Read in 0.00844 seconds [read]

iris = rt.preprocess(iris, string2cat=True)

06-11-23 05:14:59 Converting string columns to categorical [preprocess]

rt.check_data(iris)

DataFrame with 149 rows x 5 columns

Data types:
  4 float columns.
  0 integer columns
  0 char columns.
  1 categorical columns

Issues:
  0 constant columns.
  0 duplicated rows.
  0 missing values total.

Recommendations:
  Everything looks good.