When I running the following inside IPython Notebook I don't see any output:
import logging
logging.basicConfig(level=logging.DEBUG)
logging.debug("test")
Anyone know how to make it so I can see the "test" message inside the notebook?
Jupyter Notebook can print the output of each cell just below the cell. When you have a lot of output you can reduce the amount of space it takes up by clicking on the left side panel of the output. This will turn the output into a scrolling window.
Capturing Output With %%capture IPython has a cell magic, %%capture , which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable. By default, %%capture discards these streams. This is a simple way to suppress unwanted output.
clear_output to clear the output of a cell. from IPython. display import clear_output for i in range(10): clear_output(wait=True) print("Hello World!") At the end of this loop you will only see one Hello World! .
Try following:
import logging
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
logging.debug("test")
According to logging.basicConfig:
Does basic configuration for the logging system by creating a StreamHandler with a default Formatter and adding it to the root logger. The functions debug(), info(), warning(), error() and critical() will call basicConfig() automatically if no handlers are defined for the root logger.
This function does nothing if the root logger already has handlers configured for it.
It seems like ipython notebook call basicConfig (or set handler) somewhere.
If you still want to use basicConfig
, reload the logging module like this
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')
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):
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)
Now when I run:
logging.error('hello!')
logging.debug('This is a debug message')
logging.info('this is an info message')
logging.warning('tbllalfhldfhd, warning.')
I get a "mylog.log" file in the same directory as my notebook that contains:
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.
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
Bear in mind that stderr is the default stream for the logging
module, so in IPython and Jupyter notebooks you might not see anything unless you configure the stream to stdout:
import logging
import sys
logging.basicConfig(format='%(asctime)s | %(levelname)s : %(message)s',
level=logging.INFO, stream=sys.stdout)
logging.info('Hello world!')
What worked for me now (Jupyter, notebook server is: 5.4.1, IPython 7.0.1)
import logging
logging.basicConfig()
logger = logging.getLogger('Something')
logger.setLevel(logging.DEBUG)
Now I can use logger to print info, otherwise I would see only message from the default level (logging.WARNING
) or above.
You can configure logging by running %config Application.log_level="INFO"
For more information, see IPython kernel options
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.
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")
I wanted a simple and straightforward answer to this, with nicely styled output so here's my recommendation
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')
Then you can use log.info()
or any of the other logging levels anywhere in your notebook with output that looks like this
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
As of logging version 3.8 a force
parameter has been added that removes any existing handlers, which allows basicConfig
to work. This worked on IPython version 7.29.0 and Jupyter Lab version 3.2.1.
import logging
logging.basicConfig(level=logging.DEBUG,
force = True)
logging.debug("test")
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