Easy log messages in Jupyter notebooks.
Project description
ipylogging
Easy logging in Jupyter notebooks.
Most people will be fine with the default options from get_logger()
.
import ipylogging
logger = ipylogging.get_logger()
...
logger.debug('The nitty gritty.')
logger.info('Nice to know.')
logger.warning('It could be worse.')
logger.error("It's worse.")
logger.critical('Houston, we have a problem.')
get_logger()
also takes the following options:
name
- The name of the logger passed tologging.getLogger()
. Defaults toipylogging
.show_time
- Whether to show the time. Defaults toTrue
.show_name
- Whether to show the logger name. Defaults toFalse
.show_level
- Whether to show the log level (eg.INFO
,ERROR
, etc.). Defaults toTrue
.
If you want even more control, you can also use IPythonHandler
directly, which is a standard logging.Handler
that supports all the same stuff as logging.StreamHandler
.
import logging
import ipylogging
logger = logging.getLogger('foo')
handler = ipylogging.IPythonHandler()
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)
logger.setLevel(logging.ERROR)
ipylogging also works outside of Jupyter, in which case get_logger()
will simply return a normal Python logging.Logger with a StreamHandler. This is useful when writing modules that might be used inside or outside of notebooks.
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