Jupyter?Notebook運行代碼無反應(yīng)如何解決

這篇文章主要介紹“Jupyter Notebook運行代碼無反應(yīng)如何解決”，在日常操作中，相信很多人在Jupyter Notebook運行代碼無反應(yīng)如何解決問題上存在疑惑，小編查閱了各式資料，整理出簡單好用的操作方法，希望對大家解答”Jupyter Notebook運行代碼無反應(yīng)如何解決”的疑惑有所幫助！接下來，請跟著小編一起來學(xué)習(xí)吧！

Jupyter Notebook運行代碼無反應(yīng)

在學(xué)習(xí)人臉識別知識的過程中需要用到Anaconda 、Jupyter Notebook.

我在啟動Jupyter Notebook后，新建代碼運行無反應(yīng)。

從頁面上也觀察不出來是什么問題，后來在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(jié)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(zhí)行代碼片段，后臺包這個錯誤。

 
(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.

然后參考http://kemok4.com/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了。

這是修復(fù)后的運行效果。

jupyter notebook 某個cell 一直在運行

近期調(diào)試程序，發(fā)現(xiàn)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(shù)據(jù)進行處理異常值的函數(shù)，函數(shù)里有對形參temp進行賦值的操作，而temp 是whole_df的切片，執(zhí)行后，出現(xiàn)了很多提示：

/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，過了10分鐘，不再出現(xiàn)提示，但是這段cell 執(zhí)行符號里顯示‘*’，為一直在執(zhí)行，本身數(shù)據(jù)量不大，community 為200個,check_result為8萬條，應(yīng)該2、3分鐘就結(jié)束了但是又過5分鐘還是‘*’號，點‘Interrupt the kernel ’也是很長時間沒反應(yīng)。用寫標(biāo)準(zhǔn)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(biāo)準(zhǔn)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(biāo)準(zhǔn)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(zhí)行后，文件內(nèi)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(nèi)已經(jīng)執(zhí)行完畢，再看標(biāo)準(zhǔn)輸出，還是有很多之前的提示，同時標(biāo)示進度的w值里，只發(fā)現(xiàn)了三條：

w=0

w=50

w=100

再向后就只有提示，再向后提示也終止了

因此這段代碼一直執(zhí)行的可能原因是短時間內(nèi)寫大量內(nèi)容至標(biāo)準(zhǔn)輸出，標(biāo)準(zhǔn)輸出緩沖區(qū)滿，無法打印提示和之后的內(nèi)容，但程序?qū)嶋H已執(zhí)行完畢。最后刪除delanomaly_test 函數(shù)里的切片賦值語句，發(fā)現(xiàn)這段代碼很快結(jié)束，至此問題有三個：切片不可直接賦值，標(biāo)準(zhǔn)輸出不可靠，每個提示都要細(xì)看。

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