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I have a data set with 36k rows. I want to randomly select 9k rows from it using pandas. How do I accomplish this task?

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Let’s understand random selection of rows from a data set using pandas.

we can use sample method that returns a random sample of items from the dataframe.

df.sample()

You have to use parameter k which selects n number of rows randomly.

df.sample(k=5)

After that, using frac parameter, you can select a fraction of items and select a row. If frac=0.5 then the method returns 50% of rows.

df.sample(frac=0.5)  

So, according to you question

You can use df.sample(n=9000)or df.sample(frac=0.25) for to select 9k rows randomly.

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