MinMaxScaler Is deleting data from Dataset

Question

So i have a dataset that I need to scale so I can preform KNN and logistic regression. The data contains a feature called country(for the question lets say its seperated 0,1,2,3,4) now when I scale my data

from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler()
scaled_clean_df = pd.DataFrame(scaler.fit_transform(clean_df), columns=clean_df.columns)

It is deleting data

scaled_clean_df[scaled_clean_df["Country"]==3].shape
(0, 32)

But for others it is not deleting data

scaled_clean_df[scaled_clean_df["Country"]==1].shape
(13728, 32)

The missing data for all the countries are from the same columns but obviously the amount of nulls are different in each one.