An error occurred while creating events: Out of range float values are not JSON compliant. Make sure your data does not contain NaN(s) or +/- Inf!

At the "Solution - Hands On Exercise" lab, in the point 5 "Adding events", I have an issue running the code.
I have modified the code in order to see what error there in the script and the message say: "An error occurred while creating events: Out of range float values are not JSON compliant. Make sure your data does not contain NaN(s) or +/- Inf!"
Please your guidance for this.

from cognite.client.data_classes import Event

store = []
# Cycle through each row
for _,row in df.iterrows():

    # Unpack the row
    _,_,_,Disaster_Type,Disaster_Subtype,_,Country,_,_,_,Location,_,Start_Year,Start_Month,Start_Day,End_Year,End_Month,End_Day = row

    # Create start and end datetimes
    start_date = pd.to_datetime(f'{Start_Year}-{Start_Month}-{int(Start_Day)}')
    end_date = pd.to_datetime(f'{End_Year}-{End_Month}-{int(End_Day)}')

    # Create metadata
    metadata = {'Location':Location}

    # Check for NaN or infinite values in start and end times and replace with None if found
    start_time = int(start_date.timestamp()*1000) if pd.notna(start_date) else None
    end_time = int(end_date.timestamp()*1000) if pd.notna(end_date) else None

    # Create the event and store
    event = Event(start_time=int(start_date.timestamp()*1000), end_time=int(end_date.timestamp()*1000),metadata=metadata,data_set_id=data_set_id, type=Disaster_Type, subtype=Disaster_Subtype, asset_ids=[country_to_id[Country]])
    store.append(event)

# Attempt to create events, handling potential API errors
try:
    client.events.create(store)
    print("Events created successfully!")
except Exception as e:
    print(f"An error occurred while creating events: {e}")