Python 使用 warnings.filterwarnings() 过滤 PyTables PerformanceWarning 失败

这个网站上有许多答案，详细说明了如何忽略python中的特定警告(by category或providing a regex to match a warning message).

然而，当我试图 suppress 来自PyTables的PerformanceWarning个词时，这些似乎都不起作用.

以下是一份MWE:

import pandas as pd 
import warnings 
from tables import NaturalNameWarning, PerformanceWarning

data = {
    'a' : 1,
    'b' : 'two'
} 
df = pd.DataFrame.from_dict(data, orient = 'index') # mixed types will trigger PerformanceWarning

dest = pd.HDFStore('warnings.h5', 'w') 

#dest.put('data', df) # mixed type will produce a PerformanceWarning
#dest.put('data 1', df) # space in 'data 1' will trigger NaturalNameWarning in addition to the PerformanceWarning

warnings.filterwarnings('ignore', category = NaturalNameWarning) # NaturalNameWarnings ignored 
warnings.filterwarnings('ignore', category = PerformanceWarning) # no effect
warnings.filterwarnings('ignore', message='.*PyTables will pickle') # no effect
#warnings.filterwarnings('ignore') # kills all warnings, not what I want

dest.put('data 2', df) # PerformanceWarning

dest.close()

使用上下文管理器也无济于事:

with warnings.catch_warnings():
    warnings.filterwarnings("ignore", category=PerformanceWarning) # no effect
    warnings.filterwarnings('ignore', message='.*PyTables') # no effect
    dest.put('data 6', df)

用warnings.simplefilter()代替warnings.filterwarnings()也不起作用.

或许与此相关，以下是PerformanceWarning:

test.py:21: PerformanceWarning: 
your performance may suffer as PyTables will pickle object types that it cannot
map directly to c-types [inferred_type->mixed-integer,key->block0_values] [items->Int64Index([0], dtype='int64')]

  dest.put('data 2', df) # PerformanceWarning

与此形成对比的是NaturalNameWarning，它不是来自test.py的违规线路，而是来自tables/path.py:

/home/user/.local/lib/python3.8/site-packages/tables/path.py:137: NaturalNameWarning: object name is not a valid Python identifier: 'data 2'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
  check_attribute_name(name)

这是表3.7.0/python3.8.10中的内容.有什么主意吗？