How to transform categorical text variables into integers using Pandas
• 1 minThis process is a way to transform your category into an integer that can be used as a reference in some kind of algorithm.
It is extremely useful when you want to feed this data into a machine learning algorithm. Because algorithms usually prefer numbers since it is easier to digest and comprehend.
Here is how to do it
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')
# We transform text categorical variables into numerical variables
df["species_codes"] = pd.Categorical(df["species"]).codesMore on DataFrames
If you want to know more about DataFrame and Pandas. Checkout the other articles I wrote on the topic, just here :
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