ValueError: You are trying to merge on object and int64 columns error when join by cooridnates

Question

我通過公共字段comm關注了兩個數據幀

DataFrame I (vv)

V_Id      object
V_Time    object
comm      object
dtype: object

V_Id    V_Time  comm
0   1234    2020-02-02-10-15-20 (166.0467, 35.2363)
1   1234    2020-02-02-10-15-22 (166.047, 35.2363)
2   1234    2020-02-02-10-15-23 (166.0473, 35.2363)
3   1234    2020-02-02-10-15-25 (166.0475, 35.2363)

DataFrame II (rr)

R_Id    object
comm    object
dtype: object


R_Id    comm
0   One (166.0467, 35.2371)
1   One (166.0468, 35.2371)
2   One (166.0468, 35.2371)

當我運行vv.join(rr, on=['comm'])時出現以下錯誤

ValueError: You are trying to merge on object and int64 columns. If you wish to proceed you should use pd.concat

我將如何通過comm加入/合並？

Answer 1

這是這個SO 帖子的一個輕微變化

vv.join(rr.set_index('comm'), on='comm', how='outer')

我已將 rr 的第一個 comm 值更改為 (166.0467, 35.2363)。 所以這兩個數據框至少有一個共同點。 Output：

        V_Id    V_Time                  comm                    R_Id
0.0     1234.0  2020-02-02-10-15-20     (166.0467, 35.2363)     One
1.0     1234.0  2020-02-02-10-15-22     (166.047, 35.2363)      NaN
2.0     1234.0  2020-02-02-10-15-23     (166.0473, 35.2363)     NaN
3.0     1234.0  2020-02-02-10-15-25     (166.0475, 35.2363)     NaN
NaN     NaN     NaN                     (166.0468, 35.2371)     One
NaN     NaN     NaN                     (166.0468, 35.2371)     One