tensorflow2.0 - How to create new columns like tensorflow dataset as same as pandas dataframe

Question

i wonder how i can transform this block of code, (that use a pandas dataframe in order to calculate new features);

into tensorflow dataset that has the raw data of lst in it but using transformations in order to calculate the new columns

lst = [[1,2,3], [4,5,6],[7,8,9]] 
df = pd.DataFrame(lst, columns =['field1', 'field2','field3']) 
df 

output:

field1  field2  field3
  1       2       3
  4       5       6
  7       8       9


 df['max'] = df[['field1', 'field2', 'field3']].max(numeric_only=True, axis=1)
 df['mean'] = df[['field1', 'field2', 'field3']].mean(numeric_only=True, axis=1)

question from:https://stackoverflow.com/questions/65916893/how-to-create-new-columns-like-tensorflow-dataset-as-same-as-pandas-dataframe

Answer 1

Waitting for answers