Logging System#
This module contains functions related to sp_logging
(Scikit-plots Logging).
Note
The Scikit-plots logging system is meant for internal scikit-plots usage. For use in other packages, we recommend implementing your own logger instead.
Tip
The Scikit-plots logging system compatible with python logging API system. This module defines a logging class based on the built-in logging module.
Configuring the logging system#
First, import the logger, Get a root logger by module:
>>> from scikitplot import logger
>>> logger.setLevel(logger.INFO) # default WARNING
>>> logger.info("This is a info message from the sp logger.")
2025-06-19 00:04:17.865573: W scikitplot 140354697898880 python.py:96:<module>] TOML write support requires `toml` package. Install via `pip install toml`.
2025-06-19 00:04:17.993759: I scikitplot 140354697898880 948823027.py:3:<module>] This is a info message from the sp logger.
Get a root logger by func:
>>> from scikitplot import logger
>>> logger.setLevel(logger.INFO) # default WARNING
>>> logger.info("This is a info message from the sp logger.")
2025-06-19 00:04:17.999264: I scikitplot 140354697898880 948823027.py:3:<module>] This is a info message from the sp logger.
Note
This module builds on Python’s standard logging
library.
For more information on Python’s logging API, refer to the official
documentation: https://docs.python.org/3/library/logging.html
>>> import logging
>>> logger = logging.getLogger(__name__)
>>> logger.setLevel(logging.DEBUG)
Logging Levels:
NOTSET
(0) : NOTSETDEBUG
(10) : Detailed information useful during development, typically of interest only when diagnosing problems.INFO
(20) : Confirmation that things are working as expected.WARNING
(30): An indication that something unexpected happened, or indicative of some problem in the near future.ERROR
(40) : Due to a more serious problem, the software has not been able to perform some function.CRITICAL
=FATAL
(50): A very serious error, indicating that the program itself may be unable to continue running.