Time into duration/Session using Python
2
I have 1 pandas data-frame with date and time. I want to add 1 more column called session, with values morning afternoon, evening, night.
Time
2016-07-10 01:18:00
2016-07-10 11:21:00
2016-07-10 17:29:00
2016-07-10 21:43:00
I want output like
Time Session
2016-07-10 01:18:00 Night
2016-07-10 11:21:00 Morning
2016-07-10 17:29:00 Afternoon
2016-07-10 21:43:00 Evening
How to do this ?
I tried this by defining breaks
00:00 - 06:00 Night
06:00 - 12:00 Morning
12:00 - 18:00 Afternoon
18:00 -23:59 Evening
df.Time[(df.Time.dt.hour < 6) | (df.Time.dt.hour > 0) | (df.Time.dt.minute < 59) | (df.Time.dt.minute > 0)] = "Night"
But its not working properly. Thanks in advance
python pandas
asked May 10 '17 at 12:48
Ajay jadhavAjay jadhav
446
add a comment |
2
I have 1 pandas data-frame with date and time. I want to add 1 more column called session, with values morning afternoon, evening, night.
Time
2016-07-10 01:18:00
2016-07-10 11:21:00
2016-07-10 17:29:00
2016-07-10 21:43:00
I want output like
Time Session
2016-07-10 01:18:00 Night
2016-07-10 11:21:00 Morning
2016-07-10 17:29:00 Afternoon
2016-07-10 21:43:00 Evening
How to do this ?
I tried this by defining breaks
00:00 - 06:00 Night
06:00 - 12:00 Morning
12:00 - 18:00 Afternoon
18:00 -23:59 Evening
df.Time[(df.Time.dt.hour < 6) | (df.Time.dt.hour > 0) | (df.Time.dt.minute < 59) | (df.Time.dt.minute > 0)] = "Night"
But its not working properly. Thanks in advance
python pandas
asked May 10 '17 at 12:48
Ajay jadhavAjay jadhav
446
Your 2016-07-10 05:26:00 how is that afternoon and not morning? There is no AM PM designation nor 24 hour clock. Is it ordered based?
– Scott Boston
May 10 '17 at 12:54
@Scott Boston - Corrected the question. Sorry. Now it will make sense
– Ajay jadhav
May 10 '17 at 12:58
add a comment |
2
2
2
I have 1 pandas data-frame with date and time. I want to add 1 more column called session, with values morning afternoon, evening, night.
Time
2016-07-10 01:18:00
2016-07-10 11:21:00
2016-07-10 17:29:00
2016-07-10 21:43:00
I want output like
Time Session
2016-07-10 01:18:00 Night
2016-07-10 11:21:00 Morning
2016-07-10 17:29:00 Afternoon
2016-07-10 21:43:00 Evening
How to do this ?
I tried this by defining breaks
00:00 - 06:00 Night
06:00 - 12:00 Morning
12:00 - 18:00 Afternoon
18:00 -23:59 Evening
df.Time[(df.Time.dt.hour < 6) | (df.Time.dt.hour > 0) | (df.Time.dt.minute < 59) | (df.Time.dt.minute > 0)] = "Night"
But its not working properly. Thanks in advance
python pandas
asked May 10 '17 at 12:48
Ajay jadhavAjay jadhav
446
I have 1 pandas data-frame with date and time. I want to add 1 more column called session, with values morning afternoon, evening, night.
Time
2016-07-10 01:18:00
2016-07-10 11:21:00
2016-07-10 17:29:00
2016-07-10 21:43:00
I want output like
Time Session
2016-07-10 01:18:00 Night
2016-07-10 11:21:00 Morning
2016-07-10 17:29:00 Afternoon
2016-07-10 21:43:00 Evening
How to do this ?
I tried this by defining breaks
00:00 - 06:00 Night
06:00 - 12:00 Morning
12:00 - 18:00 Afternoon
18:00 -23:59 Evening
df.Time[(df.Time.dt.hour < 6) | (df.Time.dt.hour > 0) | (df.Time.dt.minute < 59) | (df.Time.dt.minute > 0)] = "Night"
But its not working properly. Thanks in advance
python pandas
python pandas
asked May 10 '17 at 12:48
Ajay jadhavAjay jadhav
446
asked May 10 '17 at 12:48
Ajay jadhavAjay jadhav
446
edited May 10 '17 at 12:56
Ajay jadhav
asked May 10 '17 at 12:48
Ajay jadhavAjay jadhav
446
asked May 10 '17 at 12:48
Ajay jadhavAjay jadhav
446
asked May 10 '17 at 12:48
Ajay jadhavAjay jadhav
446
446
Your 2016-07-10 05:26:00 how is that afternoon and not morning? There is no AM PM designation nor 24 hour clock. Is it ordered based?
– Scott Boston
May 10 '17 at 12:54
@Scott Boston - Corrected the question. Sorry. Now it will make sense
– Ajay jadhav
May 10 '17 at 12:58
add a comment |
Your 2016-07-10 05:26:00 how is that afternoon and not morning? There is no AM PM designation nor 24 hour clock. Is it ordered based?
– Scott Boston
May 10 '17 at 12:54
@Scott Boston - Corrected the question. Sorry. Now it will make sense
– Ajay jadhav
May 10 '17 at 12:58
Your 2016-07-10 05:26:00 how is that afternoon and not morning? There is no AM PM designation nor 24 hour clock. Is it ordered based?
– Scott Boston
May 10 '17 at 12:54
Your 2016-07-10 05:26:00 how is that afternoon and not morning? There is no AM PM designation nor 24 hour clock. Is it ordered based?
– Scott Boston
May 10 '17 at 12:54
@Scott Boston - Corrected the question. Sorry. Now it will make sense
– Ajay jadhav
May 10 '17 at 12:58
@Scott Boston - Corrected the question. Sorry. Now it will make sense
– Ajay jadhav
May 10 '17 at 12:58
add a comment |
1 Answer
1
active
oldest
votes
7
Use pd.cut to create bins for your session labels.
df.assign(session=pd.cut(df.Time.dt.hour,[0,6,12,18,24],labels=['Night','Morning','Afternoon','Evening']))
Output:
Time session
0 2016-07-10 01:18:00 Night
1 2016-07-10 11:21:00 Morning
2 2016-07-10 17:29:00 Afternoon
3 2016-07-10 21:43:00 Evening
answered May 10 '17 at 13:00
Scott BostonScott Boston
54.6k73056
Thanks @Scott Boston, Its working properly, But this is based on hours only, what if I want to 1 more condition of Minutes.
– Ajay jadhav
May 10 '17 at 13:04
You could use.dt.hoursand.dt.mintutesto create a calculation then create bins to match that calcuation.
– Scott Boston
May 10 '17 at 13:06
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
7
Use pd.cut to create bins for your session labels.
df.assign(session=pd.cut(df.Time.dt.hour,[0,6,12,18,24],labels=['Night','Morning','Afternoon','Evening']))
Output:
Time session
0 2016-07-10 01:18:00 Night
1 2016-07-10 11:21:00 Morning
2 2016-07-10 17:29:00 Afternoon
3 2016-07-10 21:43:00 Evening
answered May 10 '17 at 13:00
Scott BostonScott Boston
54.6k73056
Thanks @Scott Boston, Its working properly, But this is based on hours only, what if I want to 1 more condition of Minutes.
– Ajay jadhav
May 10 '17 at 13:04
You could use.dt.hoursand.dt.mintutesto create a calculation then create bins to match that calcuation.
– Scott Boston
May 10 '17 at 13:06
add a comment |
7
Use pd.cut to create bins for your session labels.
df.assign(session=pd.cut(df.Time.dt.hour,[0,6,12,18,24],labels=['Night','Morning','Afternoon','Evening']))
Output:
Time session
0 2016-07-10 01:18:00 Night
1 2016-07-10 11:21:00 Morning
2 2016-07-10 17:29:00 Afternoon
3 2016-07-10 21:43:00 Evening
answered May 10 '17 at 13:00
Scott BostonScott Boston
54.6k73056
Thanks @Scott Boston, Its working properly, But this is based on hours only, what if I want to 1 more condition of Minutes.
– Ajay jadhav
May 10 '17 at 13:04
You could use.dt.hoursand.dt.mintutesto create a calculation then create bins to match that calcuation.
– Scott Boston
May 10 '17 at 13:06
add a comment |
7
7
7
Use pd.cut to create bins for your session labels.
df.assign(session=pd.cut(df.Time.dt.hour,[0,6,12,18,24],labels=['Night','Morning','Afternoon','Evening']))
Output:
Time session
0 2016-07-10 01:18:00 Night
1 2016-07-10 11:21:00 Morning
2 2016-07-10 17:29:00 Afternoon
3 2016-07-10 21:43:00 Evening
answered May 10 '17 at 13:00
Scott BostonScott Boston
54.6k73056
Use pd.cut to create bins for your session labels.
df.assign(session=pd.cut(df.Time.dt.hour,[0,6,12,18,24],labels=['Night','Morning','Afternoon','Evening']))
Output:
Time session
0 2016-07-10 01:18:00 Night
1 2016-07-10 11:21:00 Morning
2 2016-07-10 17:29:00 Afternoon
3 2016-07-10 21:43:00 Evening
answered May 10 '17 at 13:00
Scott BostonScott Boston
54.6k73056
answered May 10 '17 at 13:00
Scott BostonScott Boston
54.6k73056
answered May 10 '17 at 13:00
Scott BostonScott Boston
54.6k73056
answered May 10 '17 at 13:00
Scott BostonScott Boston
54.6k73056
54.6k73056
Thanks @Scott Boston, Its working properly, But this is based on hours only, what if I want to 1 more condition of Minutes.
– Ajay jadhav
May 10 '17 at 13:04
You could use.dt.hoursand.dt.mintutesto create a calculation then create bins to match that calcuation.
– Scott Boston
May 10 '17 at 13:06
add a comment |
Thanks @Scott Boston, Its working properly, But this is based on hours only, what if I want to 1 more condition of Minutes.
– Ajay jadhav
May 10 '17 at 13:04
You could use.dt.hoursand.dt.mintutesto create a calculation then create bins to match that calcuation.
– Scott Boston
May 10 '17 at 13:06
Thanks @Scott Boston, Its working properly, But this is based on hours only, what if I want to 1 more condition of Minutes.
– Ajay jadhav
May 10 '17 at 13:04
Thanks @Scott Boston, Its working properly, But this is based on hours only, what if I want to 1 more condition of Minutes.
– Ajay jadhav
May 10 '17 at 13:04
You could use
.dt.hours and .dt.mintutes to create a calculation then create bins to match that calcuation.– Scott Boston
May 10 '17 at 13:06
You could use
.dt.hours and .dt.mintutes to create a calculation then create bins to match that calcuation.– Scott Boston
May 10 '17 at 13:06
add a comment |
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Your 2016-07-10 05:26:00 how is that afternoon and not morning? There is no AM PM designation nor 24 hour clock. Is it ordered based?
– Scott Boston
May 10 '17 at 12:54
@Scott Boston - Corrected the question. Sorry. Now it will make sense
– Ajay jadhav
May 10 '17 at 12:58