I have a pandas dataframe with all the IBM prices (close, open, high, low) in it since 1962.
I would like to make a numpy array out of it with only closing prices.
I know you can use numpy.asarray but that command will keep all of the values (close, open, high, low). Does anyone know how to do the conversion and only keep close?
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RedBirdHasFlown
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3`df['close'].values` or `df['close'].to_numpy()`? – Anurag Dabas Aug 09 '21 at 11:00
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I don't meant o be harsh, but this can be looked up in the docs in less time than it took to write your question. By the way;```df.loc[:, 'column_name_that_i_want'].to_numpy()``` – jrbergen Aug 09 '21 at 11:01