完整解决方案代码

Question

我有一个数据框（df）（或者来自excel文件），前9行是这样的：

      Control      Recd_Date/Due_Date                Action        Signature/Requester
0     2000-1703   2000-01-31 00:00:00           OC/OER/OPA/PMS/                 M WEBB
1           NaN   2000-02-29 00:00:00                       NaN              DATA CORP
2     2000-1776   2000-01-02 00:00:00            OC/ORA/OE/DCP/                  G KAN
3           NaN   2000-01-03 00:00:00           OC/ORA/ORO/PNC/              PALM POST
4           NaN                   NaN  FDA/OGROP/ORA/SE-FO/FLA-                    NaN
5           NaN                   NaN                DO/FLA-CB/                    NaN
6     2000-1983   2000-02-02 00:00:00  FDA/OGROP/ORA/CE-FO/CHI-                 M EGAN
7           NaN   2000-02-03 00:00:00                DO/CHI-CB/   BERNSTEIN LIEBHARD &
8           NaN                   NaN                       NaN             LONDON LLP

类型（DF [＆＃39;控制＆＃39;] [1]）=浮动;
类型（DF [＆＃39; Recd_Date / DUE_DATE＆＃39;] [1]）= datetime.datetime;
型（DF [＆＃39; Action_Office＆＃39;] [1]）=浮动;
类型（DF [＆＃39;签字/请求者＆＃39;] [1]）= unicode的

我想将此数据帧（例如前9行）转换为：

      Control            Recd_Date/Due_Date                           Action                                                            Signature/Requester
0     2000-1703   2000-01-31 00:00:00,2000-02-29 00:00:00           OC/OER/OPA/PMS/                                                      M WEBB,DATA CORP
1     2000-1776   2000-01-02 00:00:00,2000-01-03 00:00:00           OC/ORA/OE/DCP/OC/ORA/ORO/PNC/FDA/OGROP/ORA/SE-FO/FLA-DO/FLA-CB/      G KAN,PALM POST
2     2000-1983   2000-02-02 00:00:00,2000-02-03 00:00:00           FDA/OGROP/ORA/CE-FO/CHI-DO/CHI-CB/                                   M EGAN,BERNSTEIN LIEBHARD & LONDON LLP

基本上是这样的：

每次pd.isnull（行[＆＃39;控制＆＃39;]）（这应该是唯一的if条件）为true然后将此行合并到上一行（其中＆＃39; control＆＃39;值不是空的）。
对于＆＃39; Recd_Date / Due_Date＆＃39;和＆＃39;签名/请求者＆＃39;，添加＆＃39;，＆＃39; （或＆＃39; /＆＃39;）每两个值之间（来自两个合并的行）（例如＆＃39; 2000-01-31 00：00：00,2000-02-29 00：00：00＆＃ 39;和＆＃39; G KAN，PALM POST＆＃39;）
对于＆＃39; Action＆＃39;，只需合并它们而不添加任何标点符号（例如FDA / OGROP / ORA / CE-FO / CHI-DO / CHI-CB /）

任何人都可以帮助我吗？这是试图让它工作的代码：

for i, row in df.iterrows():
    if pd.isnull(df.ix[i]['Control_#']):
       df.ix[i-1]['Recd_Date/Due_Date'] = str(df.ix[i-1]['Recd_Date/Due_Date'])+'/'+str(df.ix[i]['Recd_Date/Due_Date'])
       df.ix[i-1]['Subject'] = str(df.ix[i-1]['Subject'])+' '+str(df.ix[i]['Subject'])
       if str(df.ix[i-1]['Action_Office'])[-1] == '-':
           df.ix[i-1]['Action_Office'] = str(df.ix[i-1]['Action_Office'])+str(df.ix[i]['Action_Office'])
       else:
           df.ix[i-1]['Action_Office'] = str(df.ix[i-1]['Action_Office'])+','+str(df.ix[i]['Action_Office'])
       if pd.isnull(df.ix[i-1]['Signature/Requester']):
           df.ix[i-1]['Signature/Requester'] = str(df.ix[i-1]['Signature/Requester'])+str(df.ix[i]['Signature/Requester'])
       elif str(df.ix[i-1]['Signature/Requester'])[-1] == '&':
           df.ix[i-1]['Signature/Requester'] = str(df.ix[i-1]['Signature/Requester'])+' '+str(df.ix[i]['Signature/Requester'])
       else:
           df.ix[i-1]['Signature/Requester'] = str(df.ix[i-1]['Signature/Requester'])+','+str(df.ix[i]['Signature/Requester'])
       df.drop(df.index[i])

怎么下降（）不起作用？我正在尝试删除当前行（如果它的[＆＃39; Control _＃＆＃39;]为空），那么下一行（其[＆＃39; Control _＃＆＃39;]为空）可以添加到上一行（其[＆＃39; Control _＃＆＃39;]非空）迭代地...

非常感谢!!

Answer 1

我认为您需要将行组合在一起，然后将列值连接起来。棘手的部分是找到一种方法，以您想要的方式将行组合在一起。这是我的解决方案......

1）将行组合在一起：静态变量

由于您的组依赖于行中的序列，因此我在方法中使用静态变量将每一行标记为特定组

def rolling_group(val):
    if pd.notnull(val): rolling_group.group +=1 #pd.notnull is signal to switch group
    return rolling_group.group
rolling_group.group = 0 #static variable

此方法沿Control系列应用，将索引分组，然后用于拆分数据框以允许合并行

#groups = df.groupby(df['Control'].apply(rolling_group),as_index=False)

这真是唯一棘手的部分，你可以通过向每个组提供一个函数来合并行，从而为你提供所需的输出

完整解决方案代码

def rolling_group(val):
    if pd.notnull(val): rolling_group.group +=1 #pd.notnull is signal to switch group
    return rolling_group.group
rolling_group.group = 0 #static variable

def joinFunc(g,column):
    col =g[column]
    joiner = "/" if column == "Action" else ","
    s = joiner.join([str(each) for each in col if pd.notnull(each)])
    s = re.sub("(?<=&)"+joiner," ",s) #joiner = " "
    s = re.sub("(?<=-)"+joiner,"",s) #joiner = ""
    s = re.sub(joiner*2,joiner,s)    #fixes double joiner condition
    return s

#edit above - str（each） - 转换为字符串... 编辑上面的正则表达式来清理连接字符串连接

if __name__ == "__main__":
    df = """      Control      Recd_Date/Due_Date                Action        Signature/Requester
0     2000-1703   2000-01-31 00:00:00           OC/OER/OPA/PMS/                 M WEBB
1           NaN   2000-02-29 00:00:00                       NaN              DATA CORP
2     2000-1776   2000-01-02 00:00:00            OC/ORA/OE/DCP/                  G KAN
3           NaN   2000-01-03 00:00:00           OC/ORA/ORO/PNC/              PALM POST
4           NaN                   NaN  FDA/OGROP/ORA/SE-FO/FLA-                    NaN
5           NaN                   NaN                DO/FLA-CB/                    NaN
6     2000-1983   2000-02-02 00:00:00  FDA/OGROP/ORA/CE-FO/CHI-                 M EGAN
7           NaN   2000-02-03 00:00:00                DO/CHI-CB/   BERNSTEIN LIEBHARD &
8           NaN                   NaN                       NaN             LONDON LLP"""
    df =  pd.read_csv(StringIO.StringIO(df),sep = "\s\s+",engine='python')

    groups = df.groupby(df['Control'].apply(rolling_group),as_index=False)
    groupFunct = lambda g: pd.Series([joinFunc(g,col) for col in g.columns],index=g.columns)
    print groups.apply(groupFunct)

<强>输出

     Control                       Recd_Date/Due_Date  \
0  2000-1703  2000-01-31 00:00:00,2000-02-29 00:00:00   
1  2000-1776  2000-01-02 00:00:00,2000-01-03 00:00:00   
2  2000-1983  2000-02-02 00:00:00,2000-02-03 00:00:00   

                                              Action  \
0                                    OC/OER/OPA/PMS/   
1  OC/ORA/OE/DCP/OC/ORA/ORO/PNC/FDA/OGROP/ORA/SE-...   
2                 FDA/OGROP/ORA/CE-FO/CHI-DO/CHI-CB/   

                      Signature/Requester  
0                        M WEBB,DATA CORP  
1                         G KAN,PALM POST  
2  M EGAN,BERNSTEIN LIEBHARD & LONDON LLP

在Pandas Dataframe中组合行（在条件下）

1 个答案:

1）将行组合在一起：静态变量

完整解决方案代码