[Python] Cannot use mean strategy with non-numeric data

I want to use imputation on my data but I get this error:

Cannot use mean strategy with non-numeric data: could not convert string to float: 'RL'

I know that while using impution the way I'm using I should make sure that the columns is numerical but I checked everything I get an error. Here is my code:

# identifying columns with object data type
cols_with_missing_object = [col for col in X.columns if X[col].isnull().any() and X.dtypes[col] =='object']
# dropping these columns
X.drop(cols_with_missing_object, inplace= True, axis= 1)

# Trying to impute my numerical data ( it consists of three columns)
my_imputer = SimpleImputer()
X_imputed = pd.DataFrame(my_imputer.fit_transform(X))


Thanks for your time

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