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Difference between dates in Pandas dataframe


Difference between dates in Pandas dataframe

By : Mathias Jensen
Date : October 18 2020, 03:08 PM
wish of those help This is related to this question, but now I need to find the difference between dates that are stored in 'YYYY-MM-DD'. Essentially the difference between values in the count column is what we need, but normalized by the number of days between each row. , you can use .dt.days accessor:
code :
In [72]: df['date'] = pd.to_datetime(df['date'])

In [73]: df['day_diff'] = df.groupby(['site','country_code','kind','ID'])['date'] \
                            .diff().dt.days.fillna(0)

In [74]: df
Out[74]:
         date      site country_code  kind  ID  rank  votes  sessions  avg_score  count  day_diff
0  2017-03-20  website1           US     0  84   226    0.0      15.0   3.370812   53.0       0.0
1  2017-03-21  website1           US     0  84   214    0.0      15.0   3.370812   53.0       1.0
2  2017-03-22  website1           US     0  84   226    0.0      16.0   3.370812   53.0       1.0
3  2017-03-23  website1           US     0  84   234    0.0      16.0   3.369048   54.0       1.0
4  2017-03-24  website1           US     0  84   226    0.0      16.0   3.369048   54.0       1.0
5  2017-03-25  website1           US     0  84   212    0.0      16.0   3.369048   54.0       1.0
6  2017-03-27  website1           US     0  84   228    0.0      16.0   3.369048   58.0       2.0
7  2017-02-15  website2           AU     1  91   144    4.0     148.0   4.727272  521.0       0.0
8  2017-02-16  website2           AU     1  91   144    3.0     147.0   4.727272  524.0       1.0
9  2017-02-20  website2           AU     1  91   100    4.0     148.0   4.727272  531.0       4.0
10 2017-02-21  website2           AU     1  91   118    6.0     149.0   4.727272  533.0       1.0
11 2017-02-22  website2           AU     1  91   114    4.0     151.0   4.727272  534.0       1.0


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Difference between dates between corresponding rows in pandas dataframe

Difference between dates between corresponding rows in pandas dataframe


By : Swan88
Date : March 29 2020, 07:55 AM
I hope this helps you . Below is the example of a sample pandas dataframe. I am trying to find the difference between the dates in the two rows (with the first row as the base): , Use .diff():
code :
df.date.diff()<=pd.Timedelta(90,'d')

0    False
1     True
Name: date, dtype: bool
Pandas Dataframe: difference between all dates for each unique id

Pandas Dataframe: difference between all dates for each unique id


By : user2410954
Date : March 29 2020, 07:55 AM
To fix the issue you can do Exactly you are right, first is necessary sorting DataFrame.sort_values with both columns:
code :
df = df.sort_values(['id', 'Datetime'])
df['Time in Status'] = df.groupby('id')['Datetime'].diff()
print (df)
   id  Status            Datetime   Time in Status
2  44   Draft 2018-10-24 08:12:02              NaT
1  44  Submit 2018-10-24 18:12:02  0 days 10:00:00
0  44  Reject 2018-11-24 08:56:02 30 days 14:44:00
4  88  Submit 2018-10-24 10:12:02              NaT
3  88  Accept 2018-10-29 13:17:02  5 days 03:05:00
5  90  Submit 2018-12-30 08:43:12              NaT
6  95   Draft 2019-01-24 06:12:02              NaT
Add column with difference between dates pandas DataFrame

Add column with difference between dates pandas DataFrame


By : Mir muhammad Qureshi
Date : March 29 2020, 07:55 AM
I wish this helpful for you It's easily solved using to use groupby.
code :
ddf = df.groupby('season').apply(lambda x : x['Date'] - x.loc[x['Holiday_Name'] == 'Easter']['Date'].iloc[0]).reset_index()
df['difference'] = ddf['Date']

  season       Date Holiday_Name difference
0  12-13 2012-11-01          NaN  -150 days
1  12-13 2012-11-02          Nan  -149 days
2  12-13 2013-03-31       Easter     0 days
3  12-13 2013-04-05          NaN     5 days
4  13-14 2013-11-01          NaN  -170 days
5  13-14 2014-04-18          Nan    -2 days
6  13-14 2014-04-20       Easter     0 days
7  13-14 2014-04-22          Nan     2 days
Working with grouped data and difference between dates in Pandas DataFrame

Working with grouped data and difference between dates in Pandas DataFrame


By : user3685932
Date : March 29 2020, 07:55 AM
I wish this helpful for you I Have the following example: , I would do the following:
code :
df.groupby(["Date", "Developer"]).sum().unstack().diff()
df.groupby(["Developer", "Date"]).sum().diff().reset_index().set_index(["Date","Developer"])
Pandas DataFrame from SQL query: difference in dates is wrongly displayed

Pandas DataFrame from SQL query: difference in dates is wrongly displayed


By : Mustapha Soliman
Date : March 29 2020, 07:55 AM
it fixes the issue If you can get seconds as I described in my comment, you can convert them into the desired format.
let's say you have your DataFrame df:
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