Drop specific date in dataframe
To achieve this, you can use the isin() functionality in python.
df = df[~df['date'].isin(dates_list)]
This will basically remove all the rows where the 'date' column contains a value which is in dates_list.
When using drop you're supposed to target an index or a column label. So either set your column to index and drop it:
df.set_index('year').drop(dates_list)
Or loc what you want directly:
df.loc[~df.year.isin(dates_list)]