如何使用 pandas dataframe 作为其他 dataframe 的条件

Question

Say I have dataframe A:

      A B  C
lower 1 0 -5
upper 2 2  0

and dataframe B:

     A  B  C
sa   5  1 -2
sb   3  0  2
sc   1 -5  1

How can I use dataframe A as a condition for dataframe B, so that df B's cells are within the upper and lower values of df A. The ideal output is this: (first cell is explanatory)

     A                     B      C
sa   (5>=1)&(5<=2)=False   True   True
sb   False                 True   False
sc   True                  False  False

Answer 1

You can chain mask with compare selected rows by DataFrame.loc in A with DataFrame.ge and DataFrame.le by & for bitwise AND :

Notice - columns names have to match in both DataFrame s.

df = B.ge(A.loc['lower']) & B.le(A.loc['upper'])
#alternative
#df = (B>= A.loc['lower']) & (B <= A.loc['upper'])
print (df)
        A      B      C
sa  False   True   True
sb  False   True  False
sc   True  False  False