替換列值。這是希望的人一個簡單的問題在那裏:在python
我有一個數據幀,看起來像這樣:
import pandas as pd
names_raw = {
'device_id': [ '1d28d33a-c98e-4986-a7bb-5881d222c9a8','54322099-e76d-4986-afd2-0861e2113a16','ec3a9f9d-8e4d-4986-bea8-c17c361366e9','cc8e247d-4e2e-4986-b783-e516d03a358c','ca2d8769-ccf5-4986-8aed-741ca68e94cd','12178e22-6d64-4986-966a-374326fdaf3d','50ba7a2e-a1aa-4986-86a7-08e0605dc702','f427c8e9-65d4-46de-b986-8f8e79242842','cee68e2b-135f-45b0-be4b-7c23009866ba','e785988e-2693-47ad-9899-0049860ccaa7','a1986866-13f8-4dbe-b661-8c9f78eac745','a9998ecd-9fe9-4932-870d-29c6b5df1214','9b88e362-b06d-4317-96f5-f266c986a8d6','a04498ef-fd7c-4aa4-bffc-9158ccbad3a1'],
'pod_id': ['B00001','B00011','B00013','B00016','B00021','B00023','B00024','B00026','B00027','B00028','B00030','B00032','B00034','B00039'],
'native_id': ['zim_pod_0001','zim_pod_0002', 'zim_pod_0003', 'zim_pod_0004', 'zim_pod_0005', 'zim_pod_0006', 'zim_pod_0007', 'zim_pod_0008', 'zim_pod_0009', 'zim_pod_0010', 'zim_pod_0011', 'zim_pod_0012', 'zim_pod_0013','zim_pod_0014']
}
names = pd.DataFrame(names_raw, columns = ['device_id', 'pod_id', 'native_id'])
而且看起來像這樣的另一個數據幀:
>>> df
device_id day month year rain
0 1d28d33a-c98e-4986-a7bb-5881d222c9a8 31 12 2016 0.0
1 54322099-e76d-4986-afd2-0861e2113a16 31 12 2016 0.0
2 ec3a9f9d-8e4d-4986-bea8-c17c361366e9 31 12 2016 0.0
3 cc8e247d-4e2e-4986-b783-e516d03a358c 31 12 2016 1.2
4 ca2d8769-ccf5-4986-8aed-741ca68e94cd 31 12 2016 2.2
5 12178e22-6d64-4986-966a-374326fdaf3d 31 12 2016 0.2
6 9b88e362-b06d-4317-96f5-f266c986a8d6 31 12 2016 0.0
我想用native_id
列替換device_id
列。如何使用最少量的代碼行來完成?
最後的數據幀應該是這個樣子:
>>> df
native_id day month year rain
0 zim_pod_0001 31 12 2016 0.0
1 zim_pod_0002 31 12 2016 0.0
2 zim_pod_0003 31 12 2016 0.0
等等等等......
這也適用。謝謝!! – JAG2024