Question

问题是非常自我解释的，如何在给定点（索引10和11之间）中将具有几个值的数据帧插入到更大的数据帧中。意味着.append无法使用

Answer 1

您可以remove使用closest切片np.random.seed(100) df1 = pd.DataFrame(np.random.randint(100, size=(5,6)), columns=list('ABCDEF')) print (df1) A B C D E F 0 8 24 67 87 79 48 1 10 94 52 98 53 66 2 98 14 34 24 15 60 3 58 16 9 93 86 2 4 27 4 31 1 13 83 df2 = pd.DataFrame({'A':[1,2,3], 'B':[4,5,6], 'C':[7,8,9], 'D':[1,3,5], 'E':[5,3,6], 'F':[7,4,3]}) print (df2) A B C D E F 0 1 4 7 1 5 7 1 2 5 8 3 3 4 2 3 6 9 5 6 3 #inserted between 4 and 5 index values print (pd.concat([df1.loc[:4], df2, df1.loc[4:]], ignore_index=True)) A B C D E F 0 8 24 67 87 79 48 1 10 94 52 98 53 66 2 98 14 34 24 15 60 3 58 16 9 93 86 2 4 27 4 31 1 13 83 5 1 4 7 1 5 7 6 2 5 8 3 3 4 7 3 6 9 5 6 3 8 27 4 31 1 13 83 {/ 3>}。

public abstract class NumberTableModel
{
    [Key]
    public int RowID { get; }

    public int SensorID { get; }
    public DateTime ReadingDate { get; }
    public int ReadingCount { get; }
    public float ApproxDataSize { get; }
    public Time ReadingTime { get; }
    public string JsonData { get; }
    public long LastUpdate { get; }
    public string Source { get; }
}

public class NumberTableModel1 : NumberTableModel { }

public class NumberTableModel2: NumberTableModel { }

public class NumberTableModel3: NumberTableModel { }

将数据帧插入数据帧 - Python / Pandas

1 个答案: