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PDF >>> solucionario kletenik. solucionario kletenik clase Geométrica 1.8. pdf>>> solucionario kletenik. solucionario kletenik clase Geométrica 1.8. formato de tk gpo. pdf>>> solucionario kletenik. solucionario kletenik clase Geométrica 1.8. formato de tk pdf....Q: Extracting rows from Pandas dataframe where corresponding index value satisfies condition I have a pandas dataframe with a MultiIndex for multiple values and one corresponding index, as such: In [33]: a Out[33]: Int64Index([2, 4, 5, 6, 7], dtype='int64', name='0') Int64Index([1, 2, 3], dtype='int64', name='1') dtype: object I would like to keep only those rows in the dataframe where the corresponding values in the second index of the dataframe are equal to the value in the first index. So for the example above, I would like to keep only the first three rows. Is there an efficient way of doing this using Pandas? A: You can use select_by_index, if you want all the rows: In [8]: a = pd.DataFrame([[2,1],[2,2],[2,3],[3,1],[3,2]], index=[[1,1],[2,2],[3,3],[4,4],[5,5]], columns=list('AB')) In [9]: a.select_by_index(a.index.get_level_values(0)) Out[9]: A B 1 2 1 2 2 2 3 2 3 4 3 1 5 3 2 or select_first, to

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