Log transformation, plotting the log column and dropping original column

 Checking log distribution first

#Log transformation of the feature 'kilometers_driven'

sns.distplot(np.log(data["kilometers_driven"]), axlabel="Log(kilometers_driven)");

And doing the log transformation:

data["kilometers_driven_log"] = np.log(data["Kilometers_Driven"])

Lastly dropping the original column:

data.drop(['kilometers_driven'], axis=1, inplace=True)