In [37]:
df = pd.DataFrame({'date':['2015-02-21 12:08:51']})
df
Out[37]:
date
0 2015-02-21 12:08:51
In [39]:
df['date'] = pd.to_datetime(df['date']).dt.date
df
Out[39]:
date
0 2015-02-21# If opening_date is currently a timestamp: 2021-01-09 00:00:00
opening_date = pd.to_datetime(opening_date).date()
print(opening_date)
# Result: 2021-01-09df['date'] = pd.to_datetime(df['date'])
res = df[~(df['date'] < '2018-04-01')]
print(res)
key_value date
2 value_01 2018-04-02
3 value_01 2018-05-13
4 value_01 2018-05-16
7 value_02 2018-04-01
8 value_02 2018-05-16
9 value_02 2018-05-22
11 value_03 2018-04-14