df1=
Date Team1 Team2
6/1 Boston New York
6/13 New York Boston
6/27 Boston New York
我试图计算波士顿上一次出现在这两列中的天数,但我只能知道如何在一列中查找它,使用的是自波士顿播放‘=df1.groupby(’Team1‘)’Date‘..diff().fillna(0)以来的df1’天。
我想要的结果是:
Date Team1 Team2 Days since Boston played
6/1 Boston N
我有如下所示的数据(真实的数据有更多的人和位置):
Year Player Location
2005 Phelan Chicago
2007 Phelan Boston
2008 Phelan Boston
2010 Phelan Chicago
2011 Phelan Boston
2002 John New York
2006 John New York
2007 John Boston
2009 John Chicago
我想要计算
我试图用to_hmtl()将一个分组的对象显示为html,但是我很难通过render_template()包装这个对象,然后在我的html页面上用烧瓶显示所有组数据。
Python:
groups = pandas_table.groupby(pandas_table.City)
#pandas_table is my dataframe and City is a column
#also in my code pandas_table will be variable in size potentially containing a lot of
#different cities
因此,
搭建大数据平台,jdk,mysqk,hadoop,hive,均可用正常。在esclipse中可以跑词频统计项目。 但是在hive中执行mapreduce任务(例如这样的语句 selece * from user order by id),一直卡顿,加载不
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请用通俗易懂的英语解释这个SQL查询回答了什么问题:
SELECT SUM(price) FROM Room r, Hotel h
WHERE r.hotelNo = h.hotelNo and hotelName = 'Paris Hilton' and
roomNo NOT IN
(SELECT roomNo FROM Booking b, Hotel h
WHERE (dateFrom <= CURRENT_DATE AND
dateTo >= CURRENT_DATE) AND
b.hotelNo = h.hotelNo AND hotelName =