>>> import time
>>> import datetime
>>> s = "01/12/2011"
>>> time.mktime(datetime.datetime.strptime(s, "%d/%m/%Y").timetuple())
1322697600.0
Answer from Katriel on Stack Overflow>>> import time
>>> import datetime
>>> s = "01/12/2011"
>>> time.mktime(datetime.datetime.strptime(s, "%d/%m/%Y").timetuple())
1322697600.0
I use ciso8601, which is 62x faster than datetime's strptime.
t = "01/12/2011"
ts = ciso8601.parse_datetime(t)
# to get time in seconds:
time.mktime(ts.timetuple())
You can learn more here.
Use datetime module:
from datetime import datetime
ts = int('1284101485')
# if you encounter a "year is out of range" error the timestamp
# may be in milliseconds, try `ts /= 1000` in that case
print(datetime.utcfromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S'))
>>> from datetime import datetime
>>> datetime.fromtimestamp(1172969203.1)
datetime.datetime(2007, 3, 4, 0, 46, 43, 100000)
Taken from http://seehuhn.de/pages/pdate
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Can you coerce the data type to a string to perform this calculation?
date_time_obj = datetime.strptime(str(date), '%Y-%m-%d %H:%M:%S')
If it says "strptime() argument 1 must be str, not Timestamp", likely that you already have the pandas.Timestamp object, i.e., it is not a string but a parsed date time, only it is in Pandas' format, not Python's. So to convert, use this:
date_time_obj = date.to_pydatetime()
instead of date_time_obj = datetime.strptime(date, '%Y-%m-%d %H:%M:%S')
Use the .date method:
In [11]: t = pd.Timestamp('2013-12-25 00:00:00')
In [12]: t.date()
Out[12]: datetime.date(2013, 12, 25)
In [13]: t.date() == datetime.date(2013, 12, 25)
Out[13]: True
To compare against a DatetimeIndex (i.e. an array of Timestamps), you'll want to do it the other way around:
In [21]: pd.Timestamp(datetime.date(2013, 12, 25))
Out[21]: Timestamp('2013-12-25 00:00:00')
In [22]: ts = pd.DatetimeIndex([t])
In [23]: ts == pd.Timestamp(datetime.date(2013, 12, 25))
Out[23]: array([ True], dtype=bool)
As of pandas 0.20.3, use .to_pydatetime() to convert any pandas.DateTimeIndex instances to Python datetime.datetime.