how to convert contionous data into categorical data in python
pd.cut(df.Age,bins=[0,2,17,65,99],labels=['Toddler/Baby','Child','Adult','Elderly'])
# where bins is cut off points of bins for the continuous data
# and key things here is that no. of labels is always less than 1transform 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)how to change value of categorical variable in python
df['Gender'].str[0].str.upper().map({'M':'Male', 'F':'Female'})Copyright © 2021 Codeinu
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