I have a dataframe with several columns, one of which has values ranging from '1' to '4'.
From this dataframe I would like to make 4.
A df1 where there are all the lines where there is a '1' a 2nd with all the lines including a '2' and so on.
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Another dupe: [Pandas split DataFrame by column value](https://stackoverflow.com/q/33742588/1782792). You can just do `splits = [sub_df for _, sub_df in df.groupby('column')]`. – jdehesa Jun 09 '20 at 10:52
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df1 = df[df['Sales'] >= s] – Isoka05m Jun 09 '20 at 12:07