I have a df that I am trying to filter, using multiple conditions
remove_outliers[remove_outliers['outlier_residual'] > (Q3 + 1.5 * IQR) and remove_outliers['season'] =='Autumn']
when i try this i get the following error
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-304-141eedb8a594> in <module>
----> 1 remove_outliers[remove_outliers['outlier_residual'] > (Q3 + 1.5 * IQR) and remove_outliers['season'] =='Autumn']
~\AppData\Roaming\Python\Python37\site-packages\pandas\core\generic.py in __nonzero__(self)
1328 def __nonzero__(self):
1329 raise ValueError(
-> 1330 f"The truth value of a {type(self).__name__} is ambiguous. "
1331 "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
1332 )
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
what is the correct way to do this? appreciate any help or advice