我有两个数据数据帧：
import mygeotab as geo
import pandas as pd
api = geo.API(username='**********', password='*********', database='*********')
loc = api.get('DeviceStatusInfo')
df1 = pd.DataFrame(loc)
df2 = pd.read_csv(r"C:\Users\AFSERVICES-2\OneDrive - Above Ground Marketing\AF Projects\Dev \GeoTab_id_list.csv")
df1 = df1.drop(['bearing','currentStateDuration','exceptionEvents','isDeviceCommunicating','isDeviceCommuni cating','dateTime','isHistoricLastDriver','groups'],axis=1)
df1 = df1[['device','driver','latitude','longitude','speed','isDriving']]
df2.rename(columns={'device':'id'}, inplace=True)
df1.rename(columns={'device':'id'}, inplace=True)
>>> df1
id driver latitude longitude speed isDriving
0 {'id': 'b49'} {'id': 'b1F'} 32.709248 -97.937584 105.0 True
1 {'id': 'b60'} {'id': 'bFF'} 32.677555 -97.072617 41.0 True
2 {'id': 'b53'} {'id': 'bB7'} 32.710709 -96.341431 111.0 True
3 {'id': 'b68'} {'id': 'b50'} 33.255295 -94.841141 109.0 True
4 {'id': 'b5A'} {'id': 'b149'} 34.356915 -98.409599 98.0 True
..
83 {'id': 'b6E'} UnknownDriverId 31.716249 -106.218651 0.0 False
84 {'id': 'b67'} UnknownDriverId 31.716736 -106.218979 0.0 False
85 {'id': 'b71'} {'id': 'b155'} 31.716532 -106.219009 0.0 False
86 {'id': 'b36'} UnknownDriverId 31.729588 -106.237366 0.0 False
87 {'id': 'b4E'} UnknownDriverId 31.716556 -106.218575 0.0 False
[88 rows x 6 columns]
>>> df2
id truck
0 {'id': 'b9'} AF008
1 {'id': 'b1E'} AF009
2 {'id': 'b7'} AF012
3 {'id': 'b10'} AF013
4 {'id': 'bF'} AF014
..
87 {'id': 'b72'} AF099
88 {'id': 'b73'} AF100
89 {'id': 'b41'} LS01
90 {'id': 'b42'} LS02
91 {'id': 'b43'} LS03
[92 rows x 2 columns]
我要合并它们，匹配'id'
df3 = pd.merge(df1,df2,on='id')
但是我得到这个错误：
TypeError：不可散列的类型：'dict'
我想将gps跟踪设备的“ id”号与卡车的实物号相匹配。我已经为此工作了两天，并尝试了不同的方法。如果我没有输入错误，我会得到索引错误