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Press Releases
FOR IMMEDIATE RELEASE
August 14, 2018
Mountain West Football Leader In Football Scouting, Proud of the 12 Coaches Finishing in the Top 25 For Teams in 2017
SANTA FE, N.M. — With the 2019 Football Scouting Guide from the National Football Scouting Association (NFSAA) and PrepStar now out, the Mountain West Conference has 18 teams who are either listed at a national level or in the Top 25 as major college football head coaches. Additionally, nine of the 18 teams are ranked No. 1 for their conference in the guide.
“I’m proud of our coaches and players for the tremendous job that they do in the classroom and on the field,” said MWC Commissioner Craig Thompson. “To be able to place a great deal of respect on our coaches and players, as well as our staffs and academic programs, says it all about where we are in college football. We are at the top of the Mountain West and that should be recognized.”
Coaches
Coaching wins in the Mountain West, and nationally by conference, are led by TCU head coach Gary Patterson, who has made it five straight years the Horned Frogs reached the top 25 of the preseason coaches’ poll. Last season, Patterson’s TCU team finished ranked No. 3 overall in the country and the MWC’s No. 2 team. Patterson has won at least 10 games in each of the last six seasons while coaching in the Mountain West.
USC’s head coach Steve Sarkisian is ranked No. 1 for the third straight year, while his Trojans have been recognized as the No. 3 team in the country after back-to-back 10-win seasons. Sarkisian went 9
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Pandas – Extract column value between date and time
I have a pandas Dataframe, and in one column, there is a date-time, separated by a space (and I have no idea why).
Index, Date & Time
1, 11.11.2015 06:16:20
2, 11.11.2015 06:16:21
3, 11.11.2015 06:16:22
4, 11.11.2015 06:16:23
5, 11.11.2015 06:16:24
6, 11.11.2015 06:16:25
7, 11.11.2015 06:16:26
8, 11.11.2015 06:16:27
9, 11.11.2015 06:16:28
10, 11.11.2015 06:16:29
11, 11.11.2015 06:16:30
12, 11.11.2015 06:16:31
13, 11.11.2015 06:16:32
What I want to do is to add a column where I can add up the number of minutes and seconds in the field, so in the example, what I want to get is the following:
11:20:03
Is there a way to do that with pandas, maybe without the need of parsing the date-time?
Thanks for your help!
A:
Use resample with offset and minutes as parameter:
df[‘new’] = df.resample
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