Jupyter Notebook運行代碼無反應問題及解決方法

Posted on 2023-01-05 by WalkonNet

Jupyter Notebook運行代碼無反應

在學習人臉識別知識的過程中需要用到Anaconda 、Jupyter Notebook.

我在啟動Jupyter Notebook後，新建代碼運行無反應。

從頁面上也觀察不出來是什麼問題，後來在Anaconda Pormpt中啟動Jupyter Notebook，我一開始還以為是自動啟動的，傻傻的等它自動運行。。。

結果是在瀏覽器中操作，命令行中才會跑模塊的運行情況。

要在瀏覽器中shift+enter執行代碼片段，後臺包這個錯誤。

(tensorflow) C:\Users\admin>jupyter notebook
[I 15:55:33.979 NotebookApp] The port 8888 is already in use, trying another port.
[I 15:55:34.011 NotebookApp] The port 8889 is already in use, trying another port.
[I 15:55:34.130 NotebookApp] Serving notebooks from local directory: C:\Users\admin
[I 15:55:34.131 NotebookApp] The Jupyter Notebook is running at:
[I 15:55:34.137 NotebookApp] http://localhost:8890/?token=7d8aff641154f969e61dec8ebd511d98849f08829e440fe0
[I 15:55:34.139 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 15:55:34.220 NotebookApp]

To access the notebook, open this file in a browser:
file:///C:/Users/admin/AppData/Roaming/jupyter/runtime/nbserver-24428-open.html
Or copy and paste one of these URLs:
http://localhost:8890/?token=7d8aff641154f969e61dec8ebd511d98849f08829e440fe0
Traceback (most recent call last):
File "C:\Users\admin\Anaconda3\envs\tensorflow\lib\site-packages\tornado\ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "C:\Users\admin\Anaconda3\envs\tensorflow\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\admin\Anaconda3\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 450, in _handle_events
self._handle_recv()
File "C:\Users\admin\Anaconda3\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 480, in _handle_recv
self._run_callback(callback, msg)
File "C:\Users\admin\Anaconda3\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 432, in _run_callback
callback(*args, **kwargs)
File "C:\Users\admin\Anaconda3\envs\tensorflow\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\admin\Anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:\Users\admin\Anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 233, in dispatch_shell
self.pre_handler_hook()
File "C:\Users\admin\Anaconda3\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 248, in pre_handler_hook
self.saved_sigint_handler = signal(SIGINT, default_int_handler)
File "C:\Users\admin\Anaconda3\envs\tensorflow\lib\signal.py", line 47, in signal
handler = _signal.signal(_enum_to_int(signalnum), _enum_to_int(handler))
ValueError: signal only works in main thread
[IPKernelApp] WARNING | Parent appears to have exited, shutting down.

然後參考https://www.jb51.net/article/271651.htm 解決。

(tensorflow) C:\Users\admin>pip install "pyzmq==17.0.0" "ipykernel==4.8.2"
Collecting pyzmq==17.0.0
Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)",)': /simple/pyzmq/
Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)",)': /simple/pyzmq/
Downloading https://files.pythonhosted.org/packages/27/0b/a275f30738a014dc25443d2f45156ca739991df581fdaa40aa19df6c4f86/pyzmq-17.0.0-cp36-cp36m-win_amd64.whl (944kB)
100% |████████████████████████████████| 952kB 49kB/s
Collecting ipykernel==4.8.2
Downloading https://files.pythonhosted.org/packages/ab/3f/cd624c835aa3336a9110d0a99e15070f343b881b7d651ab1375ef226a3ac/ipykernel-4.8.2-py3-none-any.whl (108kB)
100% |████████████████████████████████| 112kB 58kB/s
Requirement already satisfied: ipython>=4.0.0 in c:\users\admin\anaconda3\envs\tensorflow\lib\site-packages (from ipykernel==4.8.2) (6.1.0)
Requirement already satisfied: tornado>=4.0 in c:\users\admin\anaconda3\envs\tensorflow\lib\site-packages (from ipykernel==4.8.2) (4.5.2)
Requirement already satisfied: traitlets>=4.1.0 in c:\users\admin\anaconda3\envs\tensorflow\lib\site-packages (from ipykernel==4.8.2) (4.3.2)
Requirement already satisfied: jupyter-client in c:\users\admin\anaconda3\envs\tensorflow\lib\site-packages (from ipykernel==4.8.2) (5.2.4)
Requirement already satisfied: jupyter-core in c:\users\admin\anaconda3\envs\tensorflow\lib\site-packages (from jupyter-client->ipykernel==4.8.2) (4.4.0)
Requirement already satisfied: python-dateutil>=2.1 in c:\users\admin\anaconda3\envs\tensorflow\lib\site-packages (from jupyter-client->ipykernel==4.8.2) (2.6.1)
Requirement already satisfied: six>=1.5 in c:\users\admin\anaconda3\envs\tensorflow\lib\site-packages (from python-dateutil>=2.1->jupyter-client->ipykernel==4.8.2) (1.10.0)
Installing collected packages: pyzmq, ipykernel
Found existing installation: pyzmq 17.1.2
Uninstalling pyzmq-17.1.2:
Successfully uninstalled pyzmq-17.1.2
Found existing installation: ipykernel 4.6.1
Cannot uninstall 'ipykernel'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.

安裝時報錯，ipykernel不能卸載，我也嘗試過重新裝，一直報這個錯誤。索性沒管它，直接再瀏覽器中重新運行就可以正常運行瞭。

這是修復後的運行效果。

jupyter notebook 某個cell 一直在運行

近期調試程序，發現一簡單的代碼一直在運行，很長時間不終止，代碼如下：

whole_df=pd.read_csv(r'./train.csv')
 
community=whole_df['COMMUNITY_ID'].unique()
 
for community_id in community:
 
    temp=check_result[check_result['COMMUNITY_ID']==community_id]
 
    start=temp.index.tolist()[0]
 
    delanomaly_test(temp,start)

其中delanomaly_test 是對測試數據進行處理異常值的函數，函數裡有對形參temp進行賦值的操作，而temp 是whole_df的切片，執行後，出現瞭很多提示：

/usr/local/python3/lib/python3.6/site-packages/pandas/core/indexing.py:1763: SettingWithCopyWarning:

A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

一大串的全是提示，而且還一直擴展向下，過瞭10分鐘，不再出現提示，但是這段cell 執行符號裡顯示‘*’，為一直在執行，本身數據量不大，community 為200個,check_result為8萬條，應該2、3分鐘就結束瞭但是又過5分鐘還是‘*’號，點‘Interrupt the kernel ’也是很長時間沒反應。用寫標準輸出+寫文件的方式測試下：

whole_df=pd.read_csv(r'./train.csv')
 
community=whole_df['COMMUNITY_ID'].unique()
filename='proeceeing.txt'
 
with open(file_name,'w+') as f:
 
    f.write(file_name)
 
w=0 #進度的變量
 
for community_id in community:
 
    if w%50==0:
 
        print('w=%s' %str(w)) #打印至標準輸出
 
        f=open(file_name,'a')
 
        f.write('\n     '+str(w)+':')#寫入文件
 
        f.write(time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time())))  
 
        f.close()
 
    temp=check_result[check_result['COMMUNITY_ID']==community_id]
 
    start=temp.index.tolist()[0]
 
    delanomaly_test(temp,start)
 
    w=w+1
print('w=%s' %str(w)) #打印至標準輸出
 
f=open(file_name,'a')
 
print('w=%s' %str(w))
 
f.write('\n     '+str(w)+':') #寫入文件
 
f.write(time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time())))
 
f.write('\n check_result executed ')
 
f.close()

執行後，文件內容如下：

processing.txt
0:2021-08-25 21:14:38
50:2021-08-25 21:14:43
100:2021-08-25 21:14:49
150:2021-08-25 21:14:54
200:2021-08-25 21:15:00
check_result executed

看來這段代碼在一分鐘之內已經執行完畢，再看標準輸出，還是有很多之前的提示，同時標示進度的w值裡，隻發現瞭三條：

w=0

w=50

w=100

再向後就隻有提示，再向後提示也終止瞭

因此這段代碼一直執行的可能原因是短時間內寫大量內容至標準輸出，標準輸出緩沖區滿，無法打印提示和之後的內容，但程序實際已執行完畢。最後刪除delanomaly_test 函數裡的切片賦值語句，發現這段代碼很快結束，至此問題有三個：切片不可直接賦值，標準輸出不可靠，每個提示都要細看

總結

以上為個人經驗，希望能給大傢一個參考，也希望大傢多多支持WalkonNet。

Jupyter Notebook運行代碼無反應問題及解決方法

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