这里有一些非常好的答案，但显然没有考虑太多最简单的答案(只从无穷开始)。

root_logger = logging.getLogger()
root_logger.disabled = True

这将禁用根日志记录器，从而禁用所有其他日志记录器。 我还没有真正测试过，但它应该是最快的。

从python 2.7的日志代码中，我看到了这一点

def handle(self, record):
    """
    Call the handlers for the specified record.

    This method is used for unpickled records received from a socket, as
    well as those created locally. Logger-level filtering is applied.
    """
    if (not self.disabled) and self.filter(record):
        self.callHandlers(record)

这意味着当它被禁用时，不会调用任何处理程序，并且它应该比过滤到一个非常高的值或设置一个no-op处理程序更有效。

我使用:

logger = logging.getLogger()
logger.disabled = True
... whatever you want ...
logger.disabled = False

使用上下文管理器-[最简单]

import logging 

class DisableLogger():
    def __enter__(self):
       logging.disable(logging.CRITICAL)
    def __exit__(self, exit_type, exit_value, exit_traceback):
       logging.disable(logging.NOTSET)

使用示例:

with DisableLogger():
    do_something()

如果你需要[更复杂的]细粒度的解决方案，你可以看看AdvancedLogger

AdvancedLogger can be used for fine grained logging temporary modifications

How it works:
Modifications will be enabled when context_manager/decorator starts working and be reverted after

Usage:
AdvancedLogger can be used
- as decorator `@AdvancedLogger()`
- as context manager `with  AdvancedLogger():`

It has three main functions/features:
- disable loggers and it's handlers by using disable_logger= argument
- enable/change loggers and it's handlers by using enable_logger= argument
- disable specific handlers for all loggers, by using  disable_handler= argument

All features they can be used together

AdvancedLogger的用例

# Disable specific logger handler, for example for stripe logger disable console
AdvancedLogger(disable_logger={"stripe": "console"})
AdvancedLogger(disable_logger={"stripe": ["console", "console2"]})

# Enable/Set loggers
# Set level for "stripe" logger to 50
AdvancedLogger(enable_logger={"stripe": 50})
AdvancedLogger(enable_logger={"stripe": {"level": 50, "propagate": True}})

# Adjust already registered handlers
AdvancedLogger(enable_logger={"stripe": {"handlers": "console"}

你可以使用:

logging.basicConfig(level=your_level)

your_level是其中之一:

'debug': logging.DEBUG,
'info': logging.INFO,
'warning': logging.WARNING,
'error': logging.ERROR,
'critical': logging.CRITICAL

如果你设置your_level为logging。CRITICAL，你只会得到由以下发送的关键消息:

logging.critical('This is a critical error message')

将your_level设置为日志。DEBUG将显示所有级别的日志记录。

要了解更多详细信息，请查看日志示例。

以同样的方式更改每个Handler的级别使用Handler. setlevel()函数。

import logging
import logging.handlers

LOG_FILENAME = '/tmp/logging_rotatingfile_example.out'

# Set up a specific logger with our desired output level
my_logger = logging.getLogger('MyLogger')
my_logger.setLevel(logging.DEBUG)

# Add the log message handler to the logger
handler = logging.handlers.RotatingFileHandler(
          LOG_FILENAME, maxBytes=20, backupCount=5)

handler.setLevel(logging.CRITICAL)

my_logger.addHandler(handler)

通过更改“logging.config. log”中的一层。dictConfig”，您将能够将整个日志级别提升到一个新的级别。

logging.config.dictConfig({
'version': 1,
'disable_existing_loggers': False,
'formatters': {
    'console': {
        'format': '%(name)-12s %(levelname)-8s %(message)s'
    },
    'file': {
        'format': '%(asctime)s %(name)-12s %(levelname)-8s %(message)s'
    }
},
'handlers': {
    'console': {
        'class': 'logging.StreamHandler',
        'formatter': 'console'
    },
#CHANGE below level from DEBUG to THE_LEVEL_YOU_WANT_TO_SWITCH_FOR
#if we jump from DEBUG to INFO
# we won't be able to see the DEBUG logs in our logging.log file
    'file': {
        'level': 'DEBUG',
        'class': 'logging.FileHandler',
        'formatter': 'file',
        'filename': 'logging.log'
    },
},
'loggers': {
    '': {
        'level': 'DEBUG',
        'handlers': ['console', 'file'],
        'propagate': False,
    },
}

})

这将防止所有来自第三个库的日志记录，就像这里描述的那样 https://docs.python.org/3/howto/logging.html#configuring-logging-for-a-library

logging.getLogger('somelogger').addHandler(logging.NullHandler())