How to filter and drop row based on last max date condition in descending order for loop in python

Hi I am trying to do a for loop where the dataframe is filtered with max date return from date column and if the len of rows ==1, then drop and keep on doing that until max date != 1.
Max date here refers to the max date on the date column in dataframe.
The purpose why I am doing a descending here is that because data is appended daily to the dataframe, I am checking the last date if it’s returned 1 row only, if so delete so that the append feature from a different function can continue appending from the max date.
The table is like so

the expected end results is

I have tried doing this

latestDate = df['date'].max()
dfRow = len(df[df['date']==latestDate])
if dfRow == 1:
  df = df[df['date']!= latestDate]

How do I loop the code above until the len of rows for max date is not 1.
How do you a descending for loop date range?

>Solution :

You can try using groupby and transform

df['date'] = pd.to_datetime(df['date'])

df_filtered = df[(df.groupby('date')['names'].transform('count')!=1) | (df['date'].dt.year != 2022)]