Python如何过滤特定警告？

问题描述

如何过滤python中特定模块的特定警告？

MWE

ERROR:

cross_val_score(model,df_Xtrain,ytrain,cv=2,scoring='r2')

/usr/local/lib/python3.6/dist-packages/sklearn/linear_model/_ridge.py:148: LinAlgWarning: Ill-conditioned matrix (rcond=3.275e-20): result may not be accurate.
  overwrite_a=True).T

我的尝试

import warnings
warnings.filterwarnings(action='ignore',module='sklearn')

cross_val_score(model,scoring='r2')

This works but I assume it ignores all the warnings such as deprecation warnings. I would like to exclude only LinAlgWarning

必填项

import warnings
warnings.filterwarnings(action='ignore',category='LinAlgWarning',module='sklearn')

是否有类似此过滤器警告的方法？

解决方法

您必须将类别作为WarningClass而不是在字符串中传递：

Name start1 end1 start2 end2 0 OK0100087.1_0 0 375 1000 625 1 OK0100087.1_1 376 750 624 250 2 OK0100087.1_2 751 1000 249 0 3 OK0100088.1 0 87766 87766 0 4 OK0100089.1 0 66778 66778 0 5 OK0100090.1_0 0 47519 73733 26214 6 OK0100090.1_1 47520 73733 26213 0

from scipy.linalg import LinAlgWarning