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Assume I have a following dataframe which has years of experience and salary.

I would like to create a new dataframe from the existing one, only including observations where salary is above 45000. I would like it to include both columns.

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One way to separate these values out of your pd dataframe is to use Pandas indexing. There are many different routes that you could go, for this, I would recommend a boolean.

new_data = pd.data[data['salary'] >= 45000] 

Should separate your data out nicely.

You can read further about this here

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