如何为特定列的每个不同值选择一行，并在Python中合并以形成新的数据帧？

我使用的数据集如下所示。这是一个视频字幕数据集，在“描述”列下有字幕

Video_ID       Description
mv89psg6zh4    A bird is bathing in a sink.
mv89psg6zh4    A faucet is running while a bird stands.
mv89psg6zh4    A bird gets washed.
mv89psg6zh4    A parakeet is taking a shower in a sink.
mv89psg6zh4    The bird is taking a bath under the faucet.
mv89psg6zh4    A bird is standing in a sink drinking water.
R2DvpPTfl-E    PLAYING GAME ON LAPTOP.
R2DvpPTfl-E    THE MAN IS WATCHING LAPTOP.
l7x8uIdg2XU    A woman is pouring ingredients into a bowl.
l7x8uIdg2XU    A woman is adding milk to some pasta.
l7x8uIdg2XU    A person adds ingredients to pasta. 
l7x8uIdg2XU    the girls are doing the cooking.

但是，每个视频的字幕数量不同，也不统一

我打算为一个唯一的视频ID提取一行，并形成一个合并这些唯一行的新数据帧。另外，从现有数据帧中删除同一行

我想要的结果应该如下所示：

数据帧1-

Video_ID       Description
mv89psg6zh4    A faucet is running while a bird stands.
mv89psg6zh4    A bird gets washed.
mv89psg6zh4    A parakeet is taking a shower in a sink.
mv89psg6zh4    The bird is taking a bath under the faucet.
mv89psg6zh4    A bird is standing in a sink drinking water.
R2DvpPTfl-E    THE MAN IS WATCHING LAPTOP.
l7x8uIdg2XU    A woman is adding milk to some pasta.
l7x8uIdg2XU    A person adds ingredients to pasta. 
l7x8uIdg2XU    the girls are doing the cooking.

数据帧2-

Video_ID       Description
mv89psg6zh4    A bird is bathing in a sink.
R2DvpPTfl-E    PLAYING GAME ON LAPTOP.
l7x8uIdg2XU    A woman is pouring ingredients into a bowl.

因此，行基本上从现有数据框中移动，以形成新的数据框。

您可以使用

groupby（）

对索引进行采样：

s = df.index.to_series().groupby(df['Video_ID']).apply(lambda x: x.sample(n=1))

# random unique
df.loc[s]

# rest of data
df.drop(s)

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伟大、高效的解决方案！！你能告诉我如何选择描述最长的行而不是任意一行吗？