/Python/Valueerror: the truth value of a series is ambiguous. use a.empty, a.bool(), a.item(), a.any() or a.all().

Valueerror: the truth value of a series is ambiguous. use a.empty, a.bool(), a.item(), a.any() or a.all().

The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

#Python pandas
#This NOT works
result = result[(result['var'] > 0.25) or (result['var'] < -0.25)]

#This works
result = result[(result['var']>0.25) | (result['var']<-0.25)]

==> Use: & (and), | (or)

Source: stackoverflow.com

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). site:stackoverflow.com

Well pandas use bitwise & | and each condition should be wrapped in a ()

For example following works

data_query = data[(data['year'] >= 2005) & (data['year'] <= 2010)]
But the same query without proper brackets does not

data_query = data[(data['year'] >= 2005 & data['year'] <= 2010)]

Source: grepper.com

The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()

instead of or, use |
instead of and, use &

Source: grepper.com

The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

df[~((df['price'] < 30000) & (df['mileage'] < 2000))]

-1

Source: grepper.com

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