Drop rows WHERE date is a certain condition Pandas

I have a dataset where I would like to remove all rows where the date is 4/1/2022 within a column in my dataset. The Date column is datetime64ns

Data

ID Date
AA 1/1/2022
BB 1/1/2022
CC 4/1/2022

Desired

ID Date
AA 1/1/2022
BB 1/1/2022

Doing

   new = df[df['Date'].str.contains('4/1/2022')==False]

However, this is not a string, it is datetime. This is not removing the rows at all. I am still researching. Any suggestion is appreciated.

>Solution :

Use boolean indexing:

df[df['Date'].ne('2022-04-01')]

Output:

   ID       Date
0  AA 2022-01-01
1  BB 2022-01-01

If for some reason you need to use drop (e.g. to modify a DataFrame in place):

m = df['Date'].eq('2022-04-01')

df.drop(m[m].index, inplace=True)

multiple dates

df[~df['Date'].isin(['2022-04-01', '2022-04-03'])]