close

[Solved] Pandas concat: Value: Shape of passed values is blah, indices imply blah2

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error Pandas concat: Value: Shape of passed values is blah, indices imply blah2 in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How Pandas concat: Value: Shape of passed values is blah, indices imply blah2 Error Occurs?

Today I get the following error Pandas concat: Value: Shape of passed values is blah, indices imply blah2 in python.

How To Solve Pandas concat: Value: Shape of passed values is blah, indices imply blah2 Error ?

  1. How To Solve Pandas concat: Value: Shape of passed values is blah, indices imply blah2 Error ?

    To Solve Pandas concat: Value: Shape of passed values is blah, indices imply blah2 Error Check for duplicate index values in df1 and s1, (e.g. df1.index.is_unique)

  2. Pandas concat: Value: Shape of passed values is blah, indices imply blah2

    To Solve Pandas concat: Value: Shape of passed values is blah, indices imply blah2 Error Check for duplicate index values in df1 and s1, (e.g. df1.index.is_unique)

Solution 1

My problem were different indices, the following code solved my problem.

df1.reset_index(drop=True, inplace=True)
df2.reset_index(drop=True, inplace=True)
df = pd.concat([df1, df2], axis=1)

Solution 2

I had a similar problem (join worked, but concat failed).

Check for duplicate index values in df1 and s1, (e.g. df1.index.is_unique)

Removing duplicate index values (e.g., df.drop_duplicates(inplace=True)) or one of the methods

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

Also, Read