how to separate numeric and categorical variables in python
df.loc[:,df.dtypes==np.object]
how to separate numeric and categorical variables in python
df.loc[:,df.dtypes==np.object]
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)
how to convert categorical data to numerical data in python
pd.get_dummies(obj_df, columns=["body_style", "drive_wheels"], prefix=["body", "drive"]).head()
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