I am trying to set a variable to equal today's date.
I looked this up and found a related article:
Set today date as default value in the model
However, this didn't particularly answer my question.
I used the suggested:
dt.date.today
But after
import datetime as dt
date = dt.date.today
print date
<built-in method today of type object at 0x000000001E2658B0>
Df['Date'] = date
I didn't get what I actually wanted which as a clean date format of today's date...in Month/Day/Year.
How can I create a variable of today's day in order for me to input that variable in a DataFrame?
This question is related to
python
date
datetime
formatting
pandas
You can also look into pandas.Timestamp
, which includes methods like .now
and .today
.
Unlike pandas.to_datetime('now')
, pandas.Timestamp.now()
won't default to UTC:
import pandas as pd
pd.Timestamp.now() # will return California time
# Timestamp('2018-12-19 09:17:07.693648')
pd.to_datetime('now') # will return UTC time
# Timestamp('2018-12-19 17:17:08')
i got the same problem so tried so many things but finally this is the solution.
import time
print (time.strftime("%d/%m/%Y"))
You mention you are using Pandas (in your title). If so, there is no need to use an external library, you can just use to_datetime
>>> pandas.to_datetime('today').normalize()
Timestamp('2015-10-14 00:00:00')
This will always return today's date at midnight, irrespective of the actual time, and can be directly used in pandas to do comparisons etc. Pandas always includes 00:00:00 in its datetimes.
Replacing today
with now
would give you the date in UTC instead of local time; note that in neither case is the tzinfo (timezone) added.
In pandas versions prior to 0.23.x, normalize
may not have been necessary to remove the non-midnight timestamp.
Easy solution in Python3+:
import time
todaysdate = time.strftime("%d/%m/%Y")
#with '.' isntead of '/'
todaysdate = time.strftime("%d.%m.%Y")
Using pandas: pd.Timestamp("today").strftime("%m/%d/%Y")
pd.datetime.now().strftime("%d/%m/%Y")
this will give output as '11/02/2019'
you can use add time if you want
pd.datetime.now().strftime("%d/%m/%Y %I:%M:%S")
this will give output as '11/02/2019 11:08:26'
If you want a string mm/dd/yyyy
instead of the datetime
object, you can use strftime
(string format time):
>>> dt.datetime.today().strftime("%m/%d/%Y")
# ^ note parentheses
'02/12/2014'
import datetime
def today_date():
'''
utils:
get the datetime of today
'''
date=datetime.datetime.now().date()
date=pd.to_datetime(date)
return date
Df['Date'] = today_date()
this could be safely used in pandas dataframes.
Source: Stackoverflow.com