索引器越界错误。使用 df loc 和 iloc 获取满足特定条件的列值

Question

我有一个如下所示的数据框。

>>> df
         Status    server Name   Location                    DateTime
0     [RUNNING]        server1     London  2021-02-08 16:55:43.770558
1     [RUNNING]      server07a     London  2021-02-08 16:55:43.770558
2     [RUNNING]      server07b     London  2021-02-08 16:55:43.770558
3     [RUNNING]    labserver01     London  2021-02-08 16:55:43.770558
4  [NOTRUNNING]      server04a     London  2021-02-08 16:55:43.770558
5  [NOTRUNNING]      server04b     London  2021-02-08 16:55:43.770558
6     [RUNNING]       server05     London  2021-02-08 16:55:43.770558
7     [RUNNING]       server06     London  2021-02-08 16:55:43.770558
8     [RUNNING]       server08     London  2021-02-08 16:55:43.770558

正在尝试获取状态为 NOT运行的服务器的名称。如果所有内容都显示运行，验证变量应该用每个条目 'None' 的列表填充。如果有一项显示 NOT运行，则应该写 serverName.

而不是 NONE

def errorstatuschecker(df):
   affectedserver = []
   #print(df)
   for i in df['Status'].values:
      if i != '[RUNNING]':
         for j in range(len(df.index)):
            print(df.loc[df['Status'] == '[RUNNING]', 'server Name'].iloc[j])
      else:
         affectedserver.append('None')
   verify = len(affectedserver) > 0 and all(elem == affectedserver[0] for elem in affectedserver)

我收到以下错误。我明白为什么。但是我无法理解如何更好地编写它，所以我没有运行超出索引。

Traceback (most recent call last):
  File "<stdin>", line 4, in <module>
  File "C:\Users\Python39\lib\site-packages\pandas\core\indexing.py", line 895, in __getitem__
    return self._getitem_axis(maybe_callable, axis=axis)
  File "C:\Users\Python39\lib\site-packages\pandas\core\indexing.py", line 1501, in _getitem_axis
    self._validate_integer(key, axis)
  File "C:\Users\Python39\lib\site-packages\pandas\core\indexing.py", line 1444, in _validate_integer
    raise IndexError("single positional indexer is out-of-bounds")
IndexError: single positional indexer is out-of-bounds

Answer 1

找到了一种四处导航并仍然得到我想要的东西的方法。可能不是很聪明。但现在有效。任何更好的方法仍然欢迎。

def errorstatuschecker(df):
   affectedserver = list(df.loc[df['Status'] != '[RUNNING]', 'server Name'].to_numpy())
   if len(affectedserver) == 0:
      msg = errormessages.msg6
      notify(msg)
   else:
      affectedsystems = '\n'.join(map(str, affectedserver))
      msg = errormessages.msg1
      subject = errormessages.sub1
      notify(msg,affectedsystems)

Answer 2

你为什么不试试这个：

idx = df.index[df['Status']=="[NOTRUNNING]"].tolist()
df.loc[idx]

我认为运行会更快。如果您只想将服务器名称保存在新数据框中：

df2 = df['server Name'].loc[idx]

索引器越界错误。使用 df loc 和 iloc 获取满足特定条件的列值

Indexer is out-of-bounds error. Using df loc and iloc to get the column value that meets a specific criteria

python

pandas

indexoutofboundsexception