I’m facing a challenge when I’m trying to group a dataframe, here’s a fake datafram which similir to the real one :

I need to append rows of a serialized subclass of BaseModel and display in streamlit. The problem is that some fields are Optional and sometimes are missing. When they are missing, the column type will of the initialized table will deviate. I tried a few ways to pre-specify column types:

I need to append rows of a serialized subclass of BaseModel and display in streamlit. The problem is that some fields are Optional and sometimes are missing. When they are missing, the column type will of the initialized table will deviate. I tried a few ways to pre-specify column types:

I need to append rows of a serialized subclass of BaseModel and display in streamlit. The problem is that some fields are Optional and sometimes are missing. When they are missing, the column type will of the initialized table will deviate. I tried a few ways to pre-specify column types:

I need to append rows of a serialized subclass of BaseModel and display in streamlit. The problem is that some fields are Optional and sometimes are missing. When they are missing, the column type will of the initialized table will deviate. I tried a few ways to pre-specify column types:

I need to append rows of a serialized subclass of BaseModel and display in streamlit. The problem is that some fields are Optional and sometimes are missing. When they are missing, the column type will of the initialized table will deviate. I tried a few ways to pre-specify column types:

I need to append rows of a serialized subclass of BaseModel and display in streamlit. The problem is that some fields are Optional and sometimes are missing. When they are missing, the column type will of the initialized table will deviate. I tried a few ways to pre-specify column types:

I need to append rows of a serialized subclass of BaseModel and display in streamlit. The problem is that some fields are Optional and sometimes are missing. When they are missing, the column type will of the initialized table will deviate. I tried a few ways to pre-specify column types:

I need to append rows of a serialized subclass of BaseModel and display in streamlit. The problem is that some fields are Optional and sometimes are missing. When they are missing, the column type will of the initialized table will deviate. I tried a few ways to pre-specify column types:

Based on following link: Streamlit displot