converting categorical data to numerical data code example

Example 1: pandas categorical to numeric

#this will label the different catagories as 0,1,2,3....
dataset["sex"] = dataset["sex"].astype('category').cat.codes

Example 2: panda categorical data into numerica

sex = train_dataset['Sex'].replace(['female','male'],[0,1])
print(sex)

Example 3: transform categorical variables python

from sklearn.preprocessing import LabelEncoder

lb_make = LabelEncoder()
obj_df["make_code"] = lb_make.fit_transform(obj_df["make"])
obj_df[["make", "make_code"]].head(11)

Example 4: how to convert categorical data to binary data in python

MedInc        False
HouseAge      False
AveRooms      False
AveBedrms     False
Population    False
AveOccup      False
Latitude      False
Longitude     False
Price         False
dtype: bool