Logical operators for Boolean indexing in Pandas

I’m working with a Boolean index in Pandas.

The question is why the statement:

a[(a['some_column']==some_number) & (a['some_other_column']==some_other_number)]

works fine whereas

a[(a['some_column']==some_number) and (a['some_other_column']==some_other_number)]

exits with error?

Example:

a = pd.DataFrame({'x':[1,1],'y':[10,20]})

In: a[(a['x']==1)&(a['y']==10)]
Out:    x   y
     0  1  10

In: a[(a['x']==1) and (a['y']==10)]
Out: ValueError: The truth value of an array with more than one element is ambiguous.     Use a.any() or a.all()

3 Answers
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