Exception: Reindexing only valid with uniquely valued Index objects – indexes are unique

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英文:

Exception: Reindexing only valid with uniquely valued Index objects - indexes are unique

问题

I am attempting to concat two dataframes. When I tried doing so, I was hit with the error that the "Reindexing only valid with uniquely valued Index objects" while trying to run this code: df_3=pd.concat([df_1,df_2]).

I have added the following checks and updates to try and identify the issue:

df_1= df_1.reset_index(drop=True)
df_2= df_2.reset_index(drop=True)
try:
    df_3=pd.concat([df_1,df_2], ignore_index=True)

except Exception as e:
    print(df_1.index.is_unique)
    print(df_1.index.to_list())
    print(df_2.index.is_unique)
    print(df_2.index.to_list())
    df_1.to_csv("../../df_1.csv")
    df_2.to_csv("../../df_2.csv")
    raise Exception(e)

This results in the following output:

True
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139]
True
[0, 1]
Reindexing only valid with uniquely valued Index objects

I do not know why this is occurring - I do not get the same issue when I am testing in a console. Please advise!

<details>
<summary>英文:</summary>

I am attempting to concat two dataframes. When I tried doing so, I was hit with the error that the ```Reindexing only valid with uniquely valued Index objects``` while trying to run this code:
`df_3=pd.concat([df_1,df_2])`.

I have added the following checks and updates to try and identify the issue:

df_1= df_1.reset_index(drop=True)
df_2= df_2.reset_index(drop=True)
try:
df_3=pd.concat([df_1,df_2], ignore_index=True)

except Exception as e:
print(df_1.index.is_unique)
print(df_1.index.to_list())
print(df_2.index.is_unique)
print(df_2.index.to_list())
df_1.to_csv("../../df_1.csv")
df_2.to_csv("../../df_2.csv")
raise Exception(e)


This results in the following output:

True
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44,
45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 8
7, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123,
124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140]
True
[0, 1]
Reindexing only valid with uniquely valued Index objects


I do not know why this is occurring - I do not get the same issue when I am testing in a console. Please advise!

</details>


# 答案1
**得分**: 0

Error was I has duplicate column names - two columns in one dataframe with the same value. Pandas throws the same error in that situation. Thank you to @Timeless for finding the issue!

<details>
<summary>英文:</summary>

Error was I has duplicate column names - two columns in one dataframe with the same value. Pandas throws the same error in that situation. Thank you to @Timeless for finding the issue!

</details>



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  • 本文由 发表于 2023年4月6日 22:26:11
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