Bayesian Statistics question

I have this problem that i am doing, but i am having a major blank of how to move forward with this question. As it is I have calculated this joint probability table where n=5:

**π** | **Prior** | **Y=0** | **Y=1** | **Y=2** | **Y=3** | **Y=4** | **Y=5** | **Posterior** |

**0.30** | **0.1** | 0.0168 | 0.0360 | 0.0309 | 0.0132 | 0.0028 | 0.0002 | **0.1131** |

**0.45** | **0.2** | 0.0100 | 0.0412 | 0.0674 | 0.0552 | 0.0226 | 0.0038 | **0.2468** |

**0.55** | **0.3** | 0.0057 | 0.0339 | 0.0828 | 0.1011 | 0.0618 | 0.0150 | **0.3032** |

**0.60** | **0.4** | 0.0040 | 0.0308 | 0.0920 | 0.1384 | 0.1036 | 0.0312 | **0.3369** |

| | **0.0365** | **0.1419** | **0.2731** | **0.3079** | **0.1908** | **0.0502** | |

And also this table with the calculation for the posterior probabilities given that we have observed y=2:

**π** | **Prior** | **Likelihood** | **Prior*Likelihood** | **Posterior** |

**0.30** | **0.1** | **0.309** | **0.0309** | **0.1131** |

**0.45** | **0.2** | **0.337** | **0.0674** | **0.2468** |

**0.55** | **0.3** | **0.276** | **0.0828** | **0.3032** |

**0.60** | **0.4** | **0.230** | **0.0920** | **0.3369** |

| | | **0.2731** | |

It has then stated that- the likelihood is proportional to π^y.(1-π)^n-y where n=5 and y=2. Redo the calculations using that likelihood.

**π** | **Prior** | **Likelihood** | **Prior*Likelihood** | **Posterior** |

**0.30** | | | | |

**0.45** | | | | |

**0.55** | | | | |

**0.60** | | | | |

| | | | |

Any help with how to go about this would be greatly appreciated