excel - How can I find minimum and maximum value of date for ID 1 and 5 using python pandas? -




here, shown in image want find minimum , maximum value of date id 1 , 5. id 1 minimum date 2016-01-27 17:13:19 , maximum 2016-03-28 00:56:43. same id 5.

please click see image

you can use aggregate,

consider df

    date    id 0   2016-3-28 00:56:43  1 1   2017-3-28 00:56:43  1 2   2005-3-28 00:56:43  1 3   2010-3-28 00:56:43  1 4   2002-3-28 00:56:43  1 5   2017-3-29 00:56:43  1 6   2004-3-28 00:56:43  5 7   2002-3-21 00:56:43  5 8   2015-3-28 00:56:43  5 9   2017-4-28 00:56:43  5 10  2009-3-28 00:56:43  5 11  2007-3-28 00:56:43  5 

you can min , max date each id using

df.groupby('id').date.agg(['min', 'max']).reset_index() 

you get

    id  min                 max 0   1   2002-3-28 00:56:43  2017-3-29 00:56:43 1   5   2002-3-21 00:56:43  2017-4-28 00:56:43 




wiki

Comments

Popular posts from this blog

Asterisk AGI Python Script to Dialplan does not work -

python - Read npy file directly from S3 StreamingBody -

kotlin - Out-projected type in generic interface prohibits the use of metod with generic parameter -