Encoding that represents as a matrix if we are in one category or another
Example
from sklearn.preprocessing import OneHotEncoder
enc = OneHotEncoder()
# transforming the column after fitting
enc = enc.fit_transform(df[['nom_0']]).toarray()
# converting arrays to a dataframe
encoded_colm = pd.DataFrame(enc)
# concatenating dataframes
df = pd.concat([df, encoded_colm], axis=1)
# removing the encoded column.
df = df.drop(['nom_0'], axis=1)
df.head(10)