Picture for Conditional Version of Law of Total Probability

Question

http://jeremykun.com/2013/03/28/conditional-partitioned-probability-a-primer/ boasts a stupendous picture of the (Law of) Total Probability Theorem:

$Pr(A) = \sum_n P(A|E_n) \, P(E_n)$

I'd be interested to know where I could find one for the Conditional Version of the Total Probability Theorem : $Pr(A|B) = \sum_n P(A|E_n \cap B) \, P(E_n|B)$

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Remark: By virtue of Alex R.'s capital picture, we see:

$P(A|B) = \dfrac{P(\, \color{red}{A \cap [B \cap E2]} \,) \uplus P(\, \color{red}{A \cap [B \cap E3]}\,) \uplus P(\, \color{red}{A \cap [B \cap E4]} \,)}{P(B)} $
and $ {A \cap [B \cap E_i]} = \emptyset $ for $i = 1, 5$.

Answer 1

$B$ is the full circle, green and red. The red signifies the parts of $E_n$ that contribute to $A$.

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