blocks|key|24103|text|如果您仍然希望使用basicConfig，请像这样重新加载日志记录模块|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|24104|from+importlib+import+reload++#+Not+needed+in+Python+2
import+logging
reload(logging)
logging.basicConfig(format='%25(asctime)s+%25(levelname)s:%25(message)s',+level=logging.DEBUG,+datefmt='%25I:%25M:%25S')|code-block|syntax|javascript|24105|entityMap^0|9|B|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

If you still want to use <code>basicConfig</code>, reload the logging module like this

<pre><code>from importlib import reload # Not needed in Python 2
import logging
reload(logging)
logging.basicConfig(format='%(asctime)s %(levelname)s:%(message)s', level=logging.DEBUG, datefmt='%I:%M:%S')
</code></pre>

blocks|key|24150|text|我的理解是，IPython会话会启动日志记录，因此basicConfig无法工作。以下是对我有效的设置(我希望这看起来不是那么难看，因为我想在几乎所有的笔记本上都使用它)：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|24151|import+logging
logger+=+logging.getLogger()
fhandler+=+logging.FileHandler(filename='mylog.log',+mode='a')
formatter+=+logging.Formatter('%25(asctime)s+-+%25(name)s+-+%25(levelname)s+-+%25(message)s')
fhandler.setFormatter(formatter)
logger.addHandler(fhandler)
logger.setLevel(logging.DEBUG)|code-block|syntax|javascript|24152|现在，当我运行时：|24153|logging.error('hello!')
logging.debug('This+is+a+debug+message')
logging.info('this+is+an+info+message')
logging.warning('tbllalfhldfhd,+warning.')|24154|我在我的笔记本所在的目录中得到了一个"mylog.log“文件，其中包含：|24155|2015-01-28+09:49:25,026+-+root+-+ERROR+-+hello!
2015-01-28+09:49:25,028+-+root+-+DEBUG+-+This+is+a+debug+message
2015-01-28+09:49:25,029+-+root+-+INFO+-+this+is+an+info+message
2015-01-28+09:49:25,032+-+root+-+WARNING+-+tbllalfhldfhd,+warning.|24156|请注意，如果在未重新启动IPython会话的情况下重新运行此命令，则会将重复的条目写入文件，因为现在将定义两个文件处理程序|24157|entityMap^0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|T|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|U|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|V|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|W|8|@]|9|@]|A|$]]|$1|M|3|N|5|D|7|X|8|@]|9|@]|A|$E|F]]|$1|O|3|P|5|6|7|Y|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|Z|8|@]|9|@]|A|$]]]|R|$]]

My understanding is that the IPython session starts up logging so basicConfig doesn't work. Here is the setup that works for me (I wish this was not so gross looking since I want to use it for almost all my notebooks):

<pre><code>import logging
logger = logging.getLogger()
fhandler = logging.FileHandler(filename='mylog.log', mode='a')
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
fhandler.setFormatter(formatter)
logger.addHandler(fhandler)
logger.setLevel(logging.DEBUG)
</code></pre>

Now when I run:

<pre><code>logging.error('hello!')
logging.debug('This is a debug message')
logging.info('this is an info message')
logging.warning('tbllalfhldfhd, warning.')
</code></pre>

I get a "mylog.log" file in the same directory as my notebook that contains:

<pre><code>2015-01-28 09:49:25,026 - root - ERROR - hello!
2015-01-28 09:49:25,028 - root - DEBUG - This is a debug message
2015-01-28 09:49:25,029 - root - INFO - this is an info message
2015-01-28 09:49:25,032 - root - WARNING - tbllalfhldfhd, warning.
</code></pre>

Note that if you rerun this without restarting the IPython session it will write duplicate entries to the file since there would now be two file handlers defined

blocks|key|240436|text|请记住，stderr是logging模块的默认流，因此在IPython和Jupyter笔记本中，除非将流配置为stdout，否则您可能看不到任何内容：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|240437|import+logging
import+sys

logging.basicConfig(format='%25(asctime)s+%7C+%25(levelname)s+:+%25(message)s',
+++++++++++++++++++++level=logging.INFO,+stream=sys.stdout)

logging.info('Hello+world!')|code-block|syntax|javascript|240438|entityMap^0|B|7|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

Bear in mind that stderr is the default stream for the <code>logging</code> module, so in IPython and Jupyter notebooks you might not see anything unless you configure the stream to stdout:

<pre><code>import logging
import sys

logging.basicConfig(format='%(asctime)s | %(levelname)s : %(message)s',
 level=logging.INFO, stream=sys.stdout)

logging.info('Hello world!')
</code></pre>

blocks|key|24210|text|可以通过运行%25config+Application.log_level="INFO"来配置日志记录|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|24211|有关更多信息，请参阅IPython+kernel+options|24212|entityMap|0|LINK|mutability|MUTABLE|url|https://ipython.readthedocs.io/en/stable/config/options/kernel.html#configtrait-Application.log_level^0|6|10|0|A|M|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@$9|Q|A|R|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|S|8|@]|D|@$9|T|A|U|1|V]]|E|$]]|$1|H|3|-4|5|6|7|W|8|@]|D|@]|E|$]]]|I|$J|$5|K|L|M|E|$N|O]]]]

You can configure logging by running <code>%config Application.log_level="INFO"</code>

For more information, see <a href="https://ipython.readthedocs.io/en/stable/config/options/kernel.html#configtrait-Application.log_level" rel="noreferrer">IPython kernel options</a>

blocks|key|240459|text|我现在用的是什么(Jupyter，笔记本服务器是:+5.4.1，IPython+7.0.1)|type|unstyled|depth|inlineStyleRanges|entityRanges|data|240460|import+logging
logging.basicConfig()
logger+=+logging.getLogger('Something')
logger.setLevel(logging.DEBUG)|code-block|syntax|javascript|240461|现在我可以使用记录器来打印信息，否则我只能看到来自默认级别(logging.WARNING)或更高级别的消息。|offset|length|style|CODE|240462|entityMap^0|0|0|U|F|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Q|8|@$I|R|J|S|K|L]]|9|@]|A|$]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

What worked for me now (Jupyter, notebook server is: 5.4.1, IPython 7.0.1)

<pre><code>import logging
logging.basicConfig()
logger = logging.getLogger('Something')
logger.setLevel(logging.DEBUG)
</code></pre>

Now I can use logger to print info, otherwise I would see only message from the default level (<code>logging.WARNING</code>) or above.

blocks|key|24258|text|我为这两个文件设置了一个记录器，我想让它显示在笔记本上。事实证明，添加文件处理程序会清除默认的流处理程序。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|24259|logger+=+logging.getLogger()

formatter+=+logging.Formatter('%25(asctime)s+-+%25(name)s+-+%25(levelname)s+-+%25(message)s')

#+Setup+file+handler
fhandler++=+logging.FileHandler('my.log')
fhandler.setLevel(logging.DEBUG)
fhandler.setFormatter(formatter)

#+Configure+stream+handler+for+the+cells
chandler+=+logging.StreamHandler()
chandler.setLevel(logging.DEBUG)
chandler.setFormatter(formatter)

#+Add+both+handlers
logger.addHandler(fhandler)
logger.addHandler(chandler)
logger.setLevel(logging.DEBUG)

#+Show+the+handlers
logger.handlers

#+Log+Something
logger.info("Test+info")
logger.debug("Test+debug")
logger.error("Test+error")|code-block|syntax|javascript|24260|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

I setup a logger for both file and I wanted it to show up on the notebook. Turns out adding a filehandler clears out the default stream handlder.

<pre><code>logger = logging.getLogger()

formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')

# Setup file handler
fhandler = logging.FileHandler('my.log')
fhandler.setLevel(logging.DEBUG)
fhandler.setFormatter(formatter)

# Configure stream handler for the cells
chandler = logging.StreamHandler()
chandler.setLevel(logging.DEBUG)
chandler.setFormatter(formatter)

# Add both handlers
logger.addHandler(fhandler)
logger.addHandler(chandler)
logger.setLevel(logging.DEBUG)

# Show the handlers
logger.handlers

# Log Something
logger.info("Test info")
logger.debug("Test debug")
logger.error("Test error")
</code></pre>

blocks|key|24275|text|我想要一个简单明了的答案，输出样式很好，所以这里是我的建议|type|unstyled|depth|inlineStyleRanges|entityRanges|data|24276|import+sys
import+logging

logging.basicConfig(
++++format='%25(asctime)s+[%25(levelname)s]+%25(name)s+-+%25(message)s',
++++level=logging.INFO,
++++datefmt='%25Y-%25m-%25d+%25H:%25M:%25S',
++++stream=sys.stdout,
)
log+=+logging.getLogger('notebook')|code-block|syntax|javascript|24277|然后，您可以在笔记本中的任何位置使用log.info()或任何其他logging+levels，其输出如下所示|offset|length|style|CODE|24278|2020-10-28+17:07:08+[INFO]+notebook+-+Hello+world
2020-10-28+17:12:22+[INFO]+notebook+-+More+info+here
2020-10-28+17:12:22+[INFO]+notebook+-+And+some+more|24279|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.python.org/3/library/logging.html#logging.Logger.info^0|0|0|I|A|X|E|0|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|X|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Y|8|@$I|Z|J|10|K|L]]|9|@$I|11|J|12|1|13]]|A|$]]|$1|M|3|N|5|D|7|14|8|@]|9|@]|A|$E|F]]|$1|O|3|-4|5|6|7|15|8|@]|9|@]|A|$]]]|P|$Q|$5|R|S|T|A|$U|V]]]]

I wanted a simple and straightforward answer to this, with nicely styled output so here's my recommendation
<pre class="lang-py prettyprint-override"><code>import sys
import logging

logging.basicConfig(
 format='%(asctime)s [%(levelname)s] %(name)s - %(message)s',
 level=logging.INFO,
 datefmt='%Y-%m-%d %H:%M:%S',
 stream=sys.stdout,
)
log = logging.getLogger('notebook')
</code></pre>
Then you can use <code>log.info()</code> or any of the other <a href="https://docs.python.org/3/library/logging.html#logging.Logger.info" rel="nofollow noreferrer">logging levels</a> anywhere in your notebook with output that looks like this
<pre><code>2020-10-28 17:07:08 [INFO] notebook - Hello world
2020-10-28 17:12:22 [INFO] notebook - More info here
2020-10-28 17:12:22 [INFO] notebook - And some more
</code></pre>

blocks|key|240511|text|设置|type|unstyled|depth|inlineStyleRanges|entityRanges|data|240512|import+logging

#+make+a+handler
handler+=+logging.StreamHandler()
formatter+=+logging.Formatter('%25(asctime)s+-+%25(name)s+-+%25(levelname)s+-+%25(message)s')
handler.setFormatter(formatter)

#+add+it+to+the+root+logger
logging.getLogger().addHandler(handler)|code-block|syntax|javascript|240513|从您自己的记录器进行日志记录|240514|#+make+a+logger+for+this+notebook,+set+verbosity
logger+=+logging.getLogger(__name__)
logger.setLevel('DEBUG')

#+send+messages
logger.debug("debug+message")
logger.info("so+much+info")
logger.warning("you've+veen+warned!")
logger.error("bad+news")
logger.critical("really+bad+news")|240515|2021-09-02+18:18:27,397+-+__main__+-+DEBUG+-+debug+message
2021-09-02+18:18:27,397+-+__main__+-+INFO+-+so+much+info
2021-09-02+18:18:27,398+-+__main__+-+WARNING+-+you've+veen+warned!
2021-09-02+18:18:27,398+-+__main__+-+ERROR+-+bad+news
2021-09-02+18:18:27,399+-+__main__+-+CRITICAL+-+really+bad+news|240516|从其他库捕获日志记录|240517|logging.getLogger('google').setLevel('DEBUG')

from+google.cloud+import+storage

client+=+storage.Client()|240518|2021-09-02+18:18:27,415+-+google.auth._default+-+DEBUG+-+Checking+None+for+explicit+credentials+as+part+of+auth+process...
2021-09-02+18:18:27,416+-+google.auth._default+-+DEBUG+-+Checking+Cloud+SDK+credentials+as+part+of+auth+process...
2021-09-02+18:18:27,416+-+google.auth._default+-+DEBUG+-+Cloud+SDK+credentials+not+found+on+disk;+not+using+them
...|240519|entityMap^0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|U|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|V|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|W|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|X|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|D|7|Y|8|@]|9|@]|A|$E|F]]|$1|M|3|N|5|6|7|Z|8|@]|9|@]|A|$]]|$1|O|3|P|5|D|7|10|8|@]|9|@]|A|$E|F]]|$1|Q|3|R|5|D|7|11|8|@]|9|@]|A|$E|F]]|$1|S|3|-4|5|6|7|12|8|@]|9|@]|A|$]]]|T|$]]

<h3>setup</h3>
<pre class="lang-py prettyprint-override"><code>import logging

# make a handler
handler = logging.StreamHandler()
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)

# add it to the root logger
logging.getLogger().addHandler(handler)
</code></pre>
<h2>log from your own logger</h2>
<pre class="lang-py prettyprint-override"><code># make a logger for this notebook, set verbosity
logger = logging.getLogger(__name__)
logger.setLevel('DEBUG')

# send messages
logger.debug(&quot;debug message&quot;)
logger.info(&quot;so much info&quot;)
logger.warning(&quot;you've veen warned!&quot;)
logger.error(&quot;bad news&quot;)
logger.critical(&quot;really bad news&quot;)
</code></pre>
<pre><code>2021-09-02 18:18:27,397 - __main__ - DEBUG - debug message
2021-09-02 18:18:27,397 - __main__ - INFO - so much info
2021-09-02 18:18:27,398 - __main__ - WARNING - you've veen warned!
2021-09-02 18:18:27,398 - __main__ - ERROR - bad news
2021-09-02 18:18:27,399 - __main__ - CRITICAL - really bad news
</code></pre>
<h2>capture logging from other libraries</h2>
<pre class="lang-py prettyprint-override"><code>logging.getLogger('google').setLevel('DEBUG')

from google.cloud import storage

client = storage.Client()
</code></pre>
<pre><code>2021-09-02 18:18:27,415 - google.auth._default - DEBUG - Checking None for explicit credentials as part of auth process...
2021-09-02 18:18:27,416 - google.auth._default - DEBUG - Checking Cloud SDK credentials as part of auth process...
2021-09-02 18:18:27,416 - google.auth._default - DEBUG - Cloud SDK credentials not found on disk; not using them
...
</code></pre>

When I running the following inside IPython Notebook I don't see any output:

<pre><code>import logging
logging.basicConfig(level=logging.DEBUG)
logging.debug("test")
</code></pre>

Anyone know how to make it so I can see the "test" message inside the notebook?

Get Output From the logging Module in IPython Notebook

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当我在IPython笔记本中运行以下命令时，我看不到任何输出：import logginglogging.basicConfig(level=logging.DEBUG)logging.debug("test")谁知道怎么做，这样我就能看到笔记本里的“测试”信息了？

问从IPython笔记本中的日志记录模块获取输出
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