python merge返回ValueError:无法将DataFrame与类型为<；的实例合并；类别'；numpy.ndarray和#x27&燃气轮机；

我试图读入两个文件，一个文本文件和一个csv文件，解析它们并写出一个包含两张工作表的excel文件

我对两个文件的合并返回了一个我不理解的ValueError

这是我的代码：

jobs = pd.read_csv(r'test01.txt', delim_whitespace=True, skiprows=[0, 2])
cmdb = pd.read_csv(r'cmdb.csv', encoding='ansi')

# new data frame with split value columns 
new = jobs["Job_Name"].str.split("_", n = 2, expand = True) 

# making seperate App Code column from new data frame 
jobs["appCode"]= new[1] 

# Get unique app codes and sort them
apps = new[1].unique()
apps.sort()

merged = pd.merge(apps,cmdb, left_on="appCode", right_on="application", how='inner')

这就是我收到的错误：

  File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\reshape\merge.py", line 538, in __init__
    'type {left}'.format(left=type(left)))

ValueError: can not merge DataFrame with instance of type <class 'numpy.ndarray'>

我正在创建的cmdb csv文件如下所示-

Job_Name                                                         Last Start           Last End             
________________________________________________________________ ____________________ ____________________ 
PRD_ABC_CAT_QUARTERLYJOBS                                        -----                -----                
PRD_UNC_DOG_QUARTERLYZZZZZZZZZZZREPORT                           -----                -----                
PRD_ZYX_DOG_ABCDEF_WHATEVER_BATCH                               09/15/2016 10:00:00  09/15/2016 10:00:00  
PRD_ZYX_DOG_ABCDEF_WHATEVER_TRANSMIT_TW                         09/13/2016 10:00:11  09/13/2016 10:00:12  
PRD_ZYX_DOG_ABCDEF_WHATEVER_ARCHIVE                             09/13/2016 10:00:13  09/13/2016 10:00:13  
PRD_ZYX_DD_ABCDEF_AFFEE_BATCH                                   12/07/2016 20:00:02  12/07/2016 20:00:02  
PRD_ZYX_DD_ABCDEF_AFFEE_BATCH2                                  -----                12/07/2016 20:06:56  

application,name,status
ABC,GOOFY,LIVE
DEF,PLUTO,UNKNOWN
RRR,DAISY,HOT
UNC,DONALD,DEAD
ZYX,ALVIN,SLEEPING

unique

返回方法

如果输入是索引，则返回是索引
如果输入是分类数据类型，则返回的是分类数据类型
如果输入为系列/ndarray，则返回为ndarray

因此，

应用程序

不是数据帧

示例用法： 如果

然后

---

向我们展示（部分）您的数据肯定会有所帮助。太好了！非常感谢。

apps = new[1].unique()

jobs = pd.DataFrame(
{ 'Job_Name': [ 'PRD_ZYX_DOG_ABCDEF_WHATEVER_BATCH', 'PRD_ZYX_DOG_ABCDEF_WHATEVER_TRANSMIT_TW',
               'PRD_ZYX_DOG_ABCDEF_WHATEVER_ARCHIVE', 'PRD_ZYX_DD_ABCDEF_AFFEE_BATCH'],
  'Last Start': [ 1,2,3,4], 'Last End': [10,20,30,40]})

cmdb = pd.DataFrame({
        'application': ['ABC','DEF','RRR', 'UNC','ZYX'],
        'name': ['GOOFY','PLUTO','DAISY','DONALD','ALVIN'],
        'status': ['LIVE','UNKNOWN','HOT', 'DEAD', 'SLEEPING']})

# Create appCode
jobs["appCode"] = jobs["Job_Name"].str.split("_",  n = 2, expand=True)[1]

# If you want to merge the jobss and cmdb then you can use
merged = pd.merge(jobs,cmdb, left_on="appCode", right_on="application", how='inner')

# Of if you want to filter the contents of cmdb with only the 
# application values from appCode of jobs you can use
filtered = cmdb[cmdb['application'].isin(jobs['appCode'])]