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[Solved] Python pandas merge key

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error Python pandas merge key 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 Python pandas merge key Error Occurs?

Today I get the following error Python pandas merge key in python.

How To Solve Python pandas merge key Error ?

  1. How To Solve Python pandas merge key Error ?

    To Solve Python pandas merge key Error There was a leading space in one of the dfs in the column name, 'video_id ' instead of 'video_id'. Not sure why the initial rename didn't fix that but it's fixed.

  2. Python pandas merge key

    To Solve Python pandas merge key Error There was a leading space in one of the dfs in the column name, 'video_id ' instead of 'video_id'. Not sure why the initial rename didn't fix that but it's fixed.

Solution 1

You want to be careful not to use df.columns.values to rename columns. Doing so screws with the indexing on your column names.

If you know which column names you’re replacing, you can try something like this:

a.rename(columns={'old_col_name':'video_id'}, inplace = True)
b.rename(columns={'old_col_name':'video_id'}, inplace = True)

If you don’t know the column names ahead of time, you can try:

col_names_a = a.columns
col_names_a[index] = 'video_id'
a.columns = col_names_a

Keep in mind, you actually don’t need to use the same column names on both dataframes. Pandas allows you to specify the individual names in each dataframe

pd.merge(a, b, left_on = 'a_col', right_on = 'b_col', how = 'left')

Solution 2

There was a leading space in one of the dfs in the column name, ‘video_id ‘ instead of ‘video_id’. Not sure why the initial rename didn’t fix that but it’s fixed.

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.

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