拆分两个元素的元组并添加到熊猫数据框[重复]

Posted 2023-03-12

【中文标题】拆分两个元素的元组并添加到熊猫数据框[重复]

【英文标题】：Split tuple of two elements and add to pandas dataframe [duplicate]

【发布时间】：2021-09-13 07:00:36

【问题描述】：

我有一个python中的元组列表：[(3, 0), (3, 6), (9, 6), (9, 9), (13, 10), (13, 1), (16, 8), (12, 17), (20, 18), (10, 21), (24, 17), (8, 25), (28, 25), (18, 31), (32, 8), (19, 33), (29, 33), (34, 37), (34, 19), (33, 37), (35, 40), (40, 24), (40, 50), (46, 40), (40, 40), (11, 43), (43, 47), (43, 26), (35, 46), (42, 49), (52, 44), (46, 53), (54, 36), (57, 37), (70, 60), (26, 63), (39, 66), (69, 44)]

这些只是没有任何键的值，我应该如何将元组添加到数据框中？ 例如，我有 A 列和 B 列，元组中的第一个元素是 A 列的值，第二个元素是 B 列的值。

但是如何拆分元组并仅将左侧（第一个）添加到 A 列，将右侧（第二个）添加到列？

【参考方案1】：

data = [(3, 0), (3, 6), (9, 6), (9, 9), (13, 10), (13, 1), (16, 8), (12, 17), (20, 18), (10, 21), (24, 17), (8, 25), (28, 25), (18, 31), (32, 8), (19, 33), (29, 33), (34, 37), (34, 19), (33, 37), (35, 40), (40, 24), (40, 50), (46, 40), (40, 40), (11, 43), (43, 47), (43, 26), (35, 46), (42, 49), (52, 44), (46, 53), (54, 36), (57, 37), (70, 60), (26, 63), (39, 66), (69, 44)]

df = pd.DataFrame(data, columns=["A", "B"])

output:
    A   B
0   3   0
1   3   6
2   9   6
3   9   9
4   13  10
....