2
我有兩個數據幀組成一個類似的信息類型。我試圖合併它們並重新組織它們。這裏是dataframes樣本:熊貓使用sort_values排序2數據框然後按日期排序
df1 =
Member Nbr Name-First Name-Last Date-Join
20 Zoe Soumas 2011-08-01
3128 Julien Bougie 2011-07-22
3535 Michel Bibeau 2015-02-18
4116 Christopher Duthie 2014-12-02
4700 Manoj Chauhan 2014-11-11
4802 Anna Balian 2014-07-26
5004 Abdullah Cekic 2012-03-12
5130 Raymonde Girard 2011-01-04
df2 =
Member Nbr Name-First Name-Last Date-Join
3762 Robert Ortopan 2010-01-31
3762 Robert Ortopan 2010-02-28
3892 Christian Burnet 2010-03-24
3892 Christian Burnet 2010-04-24
5022 Robert Ngabirano 2010-06-25
5022 Robert Ngabirano 2010-07-28
什麼,我想有是由Member Nbr
,如果會員註冊日期多次出現那麼它將orgonized更加其中再一次排序的數據幀。因此,我將有:
df12 =
Member Nbr Name-First Name-Last Date-Join
20 Zoe Soumas 2011-08-01
3128 Julien Bougie 2011-07-22
3535 Michel Bibeau 2015-02-18
3762 Robert Ortopan 2010-01-31
3762 Robert Ortopan 2010-02-28
3892 Christian Burnet 2010-03-24
3892 Christian Burnet 2010-04-24
4116 Christopher Duthie 2014-12-02
4700 Manoj Chauhan 2014-11-11
4802 Anna Balian 2014-07-26
5004 Abdullah Cekic 2012-03-12
5022 Robert Ngabirano 2010-06-25
5022 Robert Ngabirano 2010-07-28
5130 Raymonde Girard 2011-01-04
我設法concatonate在df1
底部哪個地方df2
使用df12 = pd.concat([df1, df2], ignore_index=True)
兩個數據幀。使用後
df12.sort_values(by='Member Nbr', axis=0, inplace=True)
成員按照升序排列,但那些出現不止一次(在不同的連接日期)的成員按降序排列。那就是
Member Nbr Name-First Name-Last Date-Join
20 Zoe Soumas 2011-08-01
3128 Julien Bougie 2011-07-22
3535 Michel Bibeau 2015-02-18
3762 Robert Ortopan 2010-02-28 # Wrongly sorted
3762 Robert Ortopan 2010-01-31
3892 Christian Burnet 2010-04-24 # Wrongly sorted
3892 Christian Burnet 2010-03-24
4116 Christopher Duthie 2014-12-02
4700 Manoj Chauhan 2014-11-11
4802 Anna Balian 2014-07-26
5004 Abdullah Cekic 2012-03-12
5022 Robert Ngabirano 2010-07-28 # Wrongly sorted
5022 Robert Ngabirano 2010-06-25
5130 Raymonde Girard 2011-01-04
有沒有辦法讓那些有多個加入日期的成員按日期升序排列?