Reputation: 3858
I have two different dates and I want to know the difference in days between them. The format of the date is YYYY-MM-DD.
I have a function that can ADD or SUBTRACT a given number to a date:
def addonDays(a, x):
ret = time.strftime("%Y-%m-%d",time.localtime(time.mktime(time.strptime(a,"%Y-%m-%d"))+x*3600*24+3600))
return ret
where A is the date and x the number of days I want to add. And the result is another date.
I need a function where I can give two dates and the result would be an int with date difference in days.
Upvotes: 240
Views: 557207
Reputation: 7718
Another short solution:
from datetime import date
def diff_dates(date1, date2):
return abs(date2-date1).days
def main():
d1 = date(2013,1,1)
d2 = date(2013,9,13)
result1 = diff_dates(d2, d1)
print('{} days between {} and {}'.format(result1, d1, d2))
print("Happy programmer's day!")
main()
Upvotes: 50
Reputation: 19431
You can use the third-party library dateutil
, which is an extension for the built-in datetime
.
Parsing dates with the parser
module is very straightforward:
from dateutil import parser
date1 = parser.parse('2019-08-01')
date2 = parser.parse('2019-08-20')
diff = date2 - date1
print(diff)
print(diff.days)
Answer based on the one from this deleted duplicate
Upvotes: 11
Reputation: 1
I tried a couple of codes, but end up using something as simple as (in Python 3):
from datetime import datetime
df['difference_in_datetime'] = abs(df['end_datetime'] - df['start_datetime'])
If your start_datetime and end_datetime columns are in datetime64[ns]
format, datetime understands it and return the difference in days + timestamp, which is in timedelta64[ns]
format.
If you want to see only the difference in days, you can separate only the date portion of the start_datetime and end_datetime by using (also works for the time portion):
df['start_date'] = df['start_datetime'].dt.date
df['end_date'] = df['end_datetime'].dt.date
And then run:
df['difference_in_days'] = abs(df['end_date'] - df['start_date'])
Upvotes: -2
Reputation: 21
Try this:
data=pd.read_csv('C:\Users\Desktop\Data Exploration.csv')
data.head(5)
first=data['1st Gift']
last=data['Last Gift']
maxi=data['Largest Gift']
l_1=np.mean(first)-3*np.std(first)
u_1=np.mean(first)+3*np.std(first)
m=np.abs(data['1st Gift']-np.mean(data['1st Gift']))>3*np.std(data['1st Gift'])
pd.value_counts(m)
l=first[m]
data.loc[:,'1st Gift'][m==True]=np.mean(data['1st Gift'])+3*np.std(data['1st Gift'])
data['1st Gift'].head()
m=np.abs(data['Last Gift']-np.mean(data['Last Gift']))>3*np.std(data['Last Gift'])
pd.value_counts(m)
l=last[m]
data.loc[:,'Last Gift'][m==True]=np.mean(data['Last Gift'])+3*np.std(data['Last Gift'])
data['Last Gift'].head()
Upvotes: 2
Reputation: 6724
I tried the code posted by larsmans above but, there are a couple of problems:
1) The code as is will throw the error as mentioned by mauguerra 2) If you change the code to the following:
...
d1 = d1.strftime("%Y-%m-%d")
d2 = d2.strftime("%Y-%m-%d")
return abs((d2 - d1).days)
This will convert your datetime objects to strings but, two things
1) Trying to do d2 - d1 will fail as you cannot use the minus operator on strings and 2) If you read the first line of the above answer it stated, you want to use the - operator on two datetime objects but, you just converted them to strings
What I found is that you literally only need the following:
import datetime
end_date = datetime.datetime.utcnow()
start_date = end_date - datetime.timedelta(days=8)
difference_in_days = abs((end_date - start_date).days)
print difference_in_days
Upvotes: 6
Reputation: 363817
Use -
to get the difference between two datetime
objects and take the days
member.
from datetime import datetime
def days_between(d1, d2):
d1 = datetime.strptime(d1, "%Y-%m-%d")
d2 = datetime.strptime(d2, "%Y-%m-%d")
return abs((d2 - d1).days)
Upvotes: 468